building energy management building information modelling change management data mining energy efficiency Energy efficient building energy management energy performance indicator flexibility measurement Genetic algorithm industry 4.0 industry 4.0 maturity assessment Internet of Things knowledge based energy management knowledge management linked data machine learning manufacturing Ontology ontology engineering ontology population product configuration product lifecycle management production planning and control requirement engineering resource efficiency resource efficient manufacturing semantic data integration smart cities virtual engineering
2021 |
Wicaksono Hendro; Boroukhian, Tina; Bashyal Atit A Demand-Response System for Sustainable Manufacturing Using Linked Data and Machine Learning Book Chapter Forthcoming Springer, Forthcoming. BibTeX | Tags: energy transition, machine learning, Ontology @inbook{Wicaksono2021, title = {A Demand-Response System for Sustainable Manufacturing Using Linked Data and Machine Learning}, author = {Wicaksono, Hendro; Boroukhian, Tina; Bashyal, Atit }, year = {2021}, date = {2021-12-31}, publisher = {Springer}, keywords = {energy transition, machine learning, Ontology}, pubstate = {forthcoming}, tppubtype = {inbook} } |
Wicaksono Hendro; Yuce, Baris; McGlinn Kris Smart Cities and Buildings Book Chapter Forthcoming Taylor and Francis, Forthcoming. BibTeX | Tags: energy efficiency, machine learning, Ontology @inbook{Wicaksono2021b, title = {Smart Cities and Buildings}, author = {Wicaksono, Hendro; Yuce, Baris; McGlinn, Kris}, year = {2021}, date = {2021-12-31}, publisher = {Taylor and Francis}, keywords = {energy efficiency, machine learning, Ontology}, pubstate = {forthcoming}, tppubtype = {inbook} } |
Farooq Yousuf; Wicaksono, Hendro Advancing on the analysis of causes and consequences of green skepticism Journal Article Journal of Cleaner Production, 320 , pp. 128927, 2021. Abstract | Links | BibTeX | Tags: sustainability @article{Farooq2020, title = {Advancing on the analysis of causes and consequences of green skepticism}, author = {Farooq, Yousuf; Wicaksono, Hendro}, doi = {https://doi.org/10.1016/j.jclepro.2021.128927}, year = {2021}, date = {2021-10-20}, journal = {Journal of Cleaner Production}, volume = {320}, pages = {128927}, abstract = {With the increasing trend toward sustainable purchasing, companies invest vast sums of money advertising their sustainability. Yet there are also companies doing the exact opposite for fear of consumer skepticism toward sustainability claims. Consumer skepticism can have adverse effects on company image and performance. Therefore, for the success of a company's sustainability campaign, it is essential that they are familiar with the factors resulting in consumer skepticism. This research has investigated these factors. Through a survey-based approach and analysis using structural equation modeling, it has been found that a main cause of consumer skepticism is previous incidents of greenwashing. Furthermore, consumers are more skeptical of large companies than smaller companies. The research also indicates that consumer skepticism towards a company is industry-specific, with the oil industry being the least trusted. The effect of demographics was also studied, finding that women are more skeptical. Contrary to previous literature, collectivist cultures were found to be more skeptical than individualistic cultures. This research has also explored consumer perspectives towards silent sustainability, finding that highly skeptical consumers prefer companies to limit their sustainability advertisements. Companies silent about their sustainability invoke less consumer skepticism than those advertising sustainability. This research has filled major research gaps in the field of consumer skepticism and silent sustainability and carries important implications for companies advertising in today's market, as well as for policy makers.}, keywords = {sustainability}, pubstate = {published}, tppubtype = {article} } With the increasing trend toward sustainable purchasing, companies invest vast sums of money advertising their sustainability. Yet there are also companies doing the exact opposite for fear of consumer skepticism toward sustainability claims. Consumer skepticism can have adverse effects on company image and performance. Therefore, for the success of a company's sustainability campaign, it is essential that they are familiar with the factors resulting in consumer skepticism. This research has investigated these factors. Through a survey-based approach and analysis using structural equation modeling, it has been found that a main cause of consumer skepticism is previous incidents of greenwashing. Furthermore, consumers are more skeptical of large companies than smaller companies. The research also indicates that consumer skepticism towards a company is industry-specific, with the oil industry being the least trusted. The effect of demographics was also studied, finding that women are more skeptical. Contrary to previous literature, collectivist cultures were found to be more skeptical than individualistic cultures. This research has also explored consumer perspectives towards silent sustainability, finding that highly skeptical consumers prefer companies to limit their sustainability advertisements. Companies silent about their sustainability invoke less consumer skepticism than those advertising sustainability. This research has filled major research gaps in the field of consumer skepticism and silent sustainability and carries important implications for companies advertising in today's market, as well as for policy makers. |
Wicaksono, Hendro Accelerating Energy Transition to Green Electricity through Artificial Intelligence Presentation 24.08.2021. Abstract | Links | BibTeX | Tags: artificial intelligence, data analytics, energy transition @misc{Wicaksono2021c, title = {Accelerating Energy Transition to Green Electricity through Artificial Intelligence}, author = {Wicaksono, Hendro }, doi = {10.31219/osf.io/tcrkh}, year = {2021}, date = {2021-08-24}, abstract = {The presentation focuses on the role of artificial intelligence in accelerating the transition to green electricity in Germany. It discusses the challenges in the transition towards green electricity in Germany and the role of digitalization through smart metering. One of the methods to adopt and disseminate the use of green electricity is demand response. The presentation explains the definition of demand response concept and gives an example of projects that applies neural network to forecast power generation and consumption to enable calculation of dynamic electricity price. Finally, the presentation explores the adoption of green electricity in broader contexts, e.g., cities and districts, through a data-driven smart energy platform.}, keywords = {artificial intelligence, data analytics, energy transition}, pubstate = {published}, tppubtype = {presentation} } The presentation focuses on the role of artificial intelligence in accelerating the transition to green electricity in Germany. It discusses the challenges in the transition towards green electricity in Germany and the role of digitalization through smart metering. One of the methods to adopt and disseminate the use of green electricity is demand response. The presentation explains the definition of demand response concept and gives an example of projects that applies neural network to forecast power generation and consumption to enable calculation of dynamic electricity price. Finally, the presentation explores the adoption of green electricity in broader contexts, e.g., cities and districts, through a data-driven smart energy platform. |
Fritz Simon; Srikanthan, Vethiga; Arbai Ryan; Sun Chenwei; Ovtcharova Jivka; Wicaksono Hendro Automatic Information Extraction from Text-Based Requirements Journal Article International Journal of Knowledge Engineering, 7 (1), 2021, ISSN: 2382-6185. Abstract | Links | BibTeX | Tags: context-sensitive assistance, NLP, Requirements engineering @article{Fritz2021, title = {Automatic Information Extraction from Text-Based Requirements}, author = {Fritz, Simon; Srikanthan, Vethiga; Arbai, Ryan; Sun, Chenwei; Ovtcharova, Jivka; Wicaksono, Hendro }, doi = {10.18178/ijke.2021.7.1.134}, issn = {2382-6185}, year = {2021}, date = {2021-06-01}, journal = {International Journal of Knowledge Engineering}, volume = {7}, number = {1}, abstract = {Requirements form the legal basis for many development pro-jects. They are usually exchanged between customer and supplier in the form of product and requirements specifications and re-quire a subsequent integration effort into the corresponding requirements management solutions. Especially for small and medium-sized enterprises (SME), which mainly use office solutions for the management of requirements, this involves a very high integration effort, which is why this is usually only partially managed or not managed at all. Software solutions available on the market already offer support, but they are too expensive or complex, especially for small companies. The project DAM4KMU, funded by German Federal Ministry for Education and Research (BMBF), addresses this challenge and by enabling SMEs from Germany to integrate requirement documents automatically into existing requirement structures with the help of NLP-based techniques. For this purpose, the documents to be processed are divided into semantic roles, which can then be transferred into a semantic data structure. This in turn enables an automatic linking of the requirements and system components, which reduces the manual effort and avoids possible errors.}, keywords = {context-sensitive assistance, NLP, Requirements engineering}, pubstate = {published}, tppubtype = {article} } Requirements form the legal basis for many development pro-jects. They are usually exchanged between customer and supplier in the form of product and requirements specifications and re-quire a subsequent integration effort into the corresponding requirements management solutions. Especially for small and medium-sized enterprises (SME), which mainly use office solutions for the management of requirements, this involves a very high integration effort, which is why this is usually only partially managed or not managed at all. Software solutions available on the market already offer support, but they are too expensive or complex, especially for small companies. The project DAM4KMU, funded by German Federal Ministry for Education and Research (BMBF), addresses this challenge and by enabling SMEs from Germany to integrate requirement documents automatically into existing requirement structures with the help of NLP-based techniques. For this purpose, the documents to be processed are divided into semantic roles, which can then be transferred into a semantic data structure. This in turn enables an automatic linking of the requirements and system components, which reduces the manual effort and avoids possible errors. |
2020 |
Falah Muhammad Fajrul; Sukaridhoto, Sritrusta; Al Rasyid Muhammad Udin Harun; Wicaksono Hendro Design of Virtual Engineering and Digital Twin Platform as Implementation of Cyber-Physical Systems Journal Article Procedia Manufacturing, 52 , pp. 331-336, 2020. Abstract | Links | BibTeX | Tags: Cyber-physical systems, digital twins, virtual engineering @article{HendroWicaksono2020, title = {Design of Virtual Engineering and Digital Twin Platform as Implementation of Cyber-Physical Systems}, author = {Falah, Muhammad Fajrul; Sukaridhoto, Sritrusta; Al Rasyid, Muhammad Udin Harun; Wicaksono, Hendro}, url = {https://doi.org/10.1016/j.promfg.2020.11.055}, doi = {10.1016/j.promfg.2020.11.055}, year = {2020}, date = {2020-12-31}, journal = {Procedia Manufacturing}, volume = {52}, pages = {331-336}, abstract = {Many industries in Indonesia face several challenges to adopting new technologies of industry 4.0, especially for Digital Twin (DT) and Virtual Engineering (VE), which are integrated with Cyber-Physical Systems (CPS). Lack of human resource and high costs are still significant challenges to developing DT and VE. This preliminary research aims to introduce the initial design of a platform to create Virtual Engineering applications that combine Digital Twin concepts and immersive experience using open-source tools and affordable hardware. Therefore, it can be easily used by Indonesian companies who plan to implement industry 4.0. This platform consists of three parts, 3D Object Management, VE Module, and VE Interface. The developed platform has successfully demonstrated how a physical device can be integrated with its virtual model using a Digital Twin. With this result, industry stakeholders can learn and try to develop digital twin platforms in their industry using this design.}, keywords = {Cyber-physical systems, digital twins, virtual engineering}, pubstate = {published}, tppubtype = {article} } Many industries in Indonesia face several challenges to adopting new technologies of industry 4.0, especially for Digital Twin (DT) and Virtual Engineering (VE), which are integrated with Cyber-Physical Systems (CPS). Lack of human resource and high costs are still significant challenges to developing DT and VE. This preliminary research aims to introduce the initial design of a platform to create Virtual Engineering applications that combine Digital Twin concepts and immersive experience using open-source tools and affordable hardware. Therefore, it can be easily used by Indonesian companies who plan to implement industry 4.0. This platform consists of three parts, 3D Object Management, VE Module, and VE Interface. The developed platform has successfully demonstrated how a physical device can be integrated with its virtual model using a Digital Twin. With this result, industry stakeholders can learn and try to develop digital twin platforms in their industry using this design. |
Bai Xuqi; Wicaksono, Hendro How Relevant Are Environmental Factors in The Ergonomic Performance Assessments? Journal Article Procedia Manufacturing, 52 , pp. 325-330, 2020. Abstract | Links | BibTeX | Tags: ergonomics, manufacturing, resource efficient manufacturing @article{Wicaksono2020c, title = {How Relevant Are Environmental Factors in The Ergonomic Performance Assessments?}, author = {Bai, Xuqi; Wicaksono, Hendro }, url = {https://doi.org/10.1016/j.promfg.2020.11.054}, doi = {10.1016/j.promfg.2020.11.054}, year = {2020}, date = {2020-12-31}, journal = {Procedia Manufacturing}, volume = {52}, pages = {325-330}, abstract = {A suitable working environment is crucial to ensure the worker’s safety and health, results in higher productivity in production systems. As one of the most important elements of production, the assembly processes require the most human involvement. However, researches on ergonomics in assembly systems focus merely on task-related physical factors such as action forces, posture, movement, task repetition, etc. This paper aims to investigate the relevance of environmental measures of temperature, humidity, ventilation, noise, lighting, and cleanness to the assembly workers, and the relative importance of environmental factors in comparison with the task-related physical factors. A survey was conducted among 20 assembly workers and engineers in the hope to realize the urgency to integrate environmental characteristics into routinely conducted ergonomic performance assessments.}, keywords = {ergonomics, manufacturing, resource efficient manufacturing}, pubstate = {published}, tppubtype = {article} } A suitable working environment is crucial to ensure the worker’s safety and health, results in higher productivity in production systems. As one of the most important elements of production, the assembly processes require the most human involvement. However, researches on ergonomics in assembly systems focus merely on task-related physical factors such as action forces, posture, movement, task repetition, etc. This paper aims to investigate the relevance of environmental measures of temperature, humidity, ventilation, noise, lighting, and cleanness to the assembly workers, and the relative importance of environmental factors in comparison with the task-related physical factors. A survey was conducted among 20 assembly workers and engineers in the hope to realize the urgency to integrate environmental characteristics into routinely conducted ergonomic performance assessments. |
Angreani Linda Salma; Vijaya, Annas; Wicaksono Hendro Systematic Literature Review of Industry 4.0 Maturity Model for Manufacturing and Logistics Sectors Journal Article Procedia Manufacturing, 52 , 2020. Abstract | Links | BibTeX | Tags: industry 4.0, industry 4.0 maturity assessment, manufacturing, systematic literature review @article{Angreani2020, title = {Systematic Literature Review of Industry 4.0 Maturity Model for Manufacturing and Logistics Sectors}, author = {Angreani, Linda Salma; Vijaya, Annas; Wicaksono, Hendro}, url = {https://doi.org/10.1016/j.promfg.2020.11.056}, doi = {doi.org/10.1016/j.promfg.2020.11.056}, year = {2020}, date = {2020-12-31}, journal = {Procedia Manufacturing}, volume = {52}, abstract = {A maturity model is a wide technique to measure several aspects and identify the current state of processes in an organization, which can be used as a starting point for business improvement. In the Industry 4.0 context, several terms are used to express the model, such as readiness assessment model, roadmap, framework, and maturity index. They have the same purpose of measuring how the current state of an organization unit is capable of adopting and implementing the concept of industry 4.0 in the future. Many researchers had proposed maturity models for assessing Industry 4.0 readiness and maturity since 2011 when Industry 4.0 was commenced. However, there has been no attempt to analyze empirical evidence systematically. This paper aims to analyze currently available maturity models related to Industry 4.0 and provide a synthesis on those maturity models. This paper describes a systematic literature review (SLR) of empirical studies implemented on the maturity model published in several reputable and relevant sources. It focuses on the manufacturing and logistics sectors since the processes in both sectors can be highly improved through the introduction of technologies such as cyber-physical systems, internet of things, and artificial intelligence. In general, the primary purpose of the review is to address the following questions: (1) Based on what dimensions do researchers develop Industry 4.0 maturity models, and what are the most used and influencing parameters in those dimensions? (2) How do those maturity models compare to each other in terms of dimension complexity, techniques, maturity leveling, and kind of application sectors of the model? In conclusion, the maturity model in the context of Industry 4.0 is promising to guide the adoption of industry 4.0 technologies at the organization level. However, just having a maturity model is not enough. More efforts are needed to facilitate the application of it.}, keywords = {industry 4.0, industry 4.0 maturity assessment, manufacturing, systematic literature review}, pubstate = {published}, tppubtype = {article} } A maturity model is a wide technique to measure several aspects and identify the current state of processes in an organization, which can be used as a starting point for business improvement. In the Industry 4.0 context, several terms are used to express the model, such as readiness assessment model, roadmap, framework, and maturity index. They have the same purpose of measuring how the current state of an organization unit is capable of adopting and implementing the concept of industry 4.0 in the future. Many researchers had proposed maturity models for assessing Industry 4.0 readiness and maturity since 2011 when Industry 4.0 was commenced. However, there has been no attempt to analyze empirical evidence systematically. This paper aims to analyze currently available maturity models related to Industry 4.0 and provide a synthesis on those maturity models. This paper describes a systematic literature review (SLR) of empirical studies implemented on the maturity model published in several reputable and relevant sources. It focuses on the manufacturing and logistics sectors since the processes in both sectors can be highly improved through the introduction of technologies such as cyber-physical systems, internet of things, and artificial intelligence. In general, the primary purpose of the review is to address the following questions: (1) Based on what dimensions do researchers develop Industry 4.0 maturity models, and what are the most used and influencing parameters in those dimensions? (2) How do those maturity models compare to each other in terms of dimension complexity, techniques, maturity leveling, and kind of application sectors of the model? In conclusion, the maturity model in the context of Industry 4.0 is promising to guide the adoption of industry 4.0 technologies at the organization level. However, just having a maturity model is not enough. More efforts are needed to facilitate the application of it. |
Wicaksono Hendro; Ni, Tianran An Automated Information System for Medium to Short-Term Manpower Capacity Planning in Make-To-Order Manufacturing Journal Article Procedia Manufacturing, 52 , pp. 319-324, 2020. Abstract | Links | BibTeX | Tags: information systems, Information visualisation, production planning and control, resource efficient manufacturing @article{Wicaksono2020d, title = {An Automated Information System for Medium to Short-Term Manpower Capacity Planning in Make-To-Order Manufacturing}, author = {Wicaksono, Hendro; Ni, Tianran}, url = {https://doi.org/10.1016/j.promfg.2020.11.053}, doi = {10.1016/j.promfg.2020.11.053}, year = {2020}, date = {2020-12-31}, journal = {Procedia Manufacturing}, volume = {52}, pages = {319-324}, abstract = {In today’s tough economy, it is important for (Make-To-Order) MTO companies to be responsive to customer demand and market fluctuations and to keep the costs as low as possible at the same time. Unlike in Make-To-Stock (MTS), MTO companies hold capacity in reserve. Thus, they are able to make efficient utilization of available capacity to satisfy customer needs. This then leads to a constant capacity planning problem. The companies are facing fluctuations between overload by lack of sufficient capacity, and idleness by excess of capacity comparing to the level of demand. Among all the planning resources, the available manpower is one of the most essential parts of the MTO operations. Therefore, the allocation and adjustment of manpower capacity that suits different planning horizons is a predominant measure to meet the changing capacity demands. Nonetheless, a signing each individual labor to various types of tasks and orders on a day to day basis continually for the planning horizon of several weeks or months is difficult. This paper presents an approach of automated manpower planning model which can be used by MTO operations to achieve a better transparency and synchronization of capacity load for short to medium planning horizons. The approach is implemented as a software tool to automate the data processing and analysis, which helps to dramatically reduce the corresponding data operation efforts and planning time. This paper also presents the validation of the approach and tool in a real production unit in a German small MTO manufacturing company.}, keywords = {information systems, Information visualisation, production planning and control, resource efficient manufacturing}, pubstate = {published}, tppubtype = {article} } In today’s tough economy, it is important for (Make-To-Order) MTO companies to be responsive to customer demand and market fluctuations and to keep the costs as low as possible at the same time. Unlike in Make-To-Stock (MTS), MTO companies hold capacity in reserve. Thus, they are able to make efficient utilization of available capacity to satisfy customer needs. This then leads to a constant capacity planning problem. The companies are facing fluctuations between overload by lack of sufficient capacity, and idleness by excess of capacity comparing to the level of demand. Among all the planning resources, the available manpower is one of the most essential parts of the MTO operations. Therefore, the allocation and adjustment of manpower capacity that suits different planning horizons is a predominant measure to meet the changing capacity demands. Nonetheless, a signing each individual labor to various types of tasks and orders on a day to day basis continually for the planning horizon of several weeks or months is difficult. This paper presents an approach of automated manpower planning model which can be used by MTO operations to achieve a better transparency and synchronization of capacity load for short to medium planning horizons. The approach is implemented as a software tool to automate the data processing and analysis, which helps to dramatically reduce the corresponding data operation efforts and planning time. This paper also presents the validation of the approach and tool in a real production unit in a German small MTO manufacturing company. |
Wicaksono, Simon Fritz; Matthias Jaenicke; Jivka Ovtcharova; Hendro Context-sensitive Assistance in Requirements-based Knowledge Management Conference NLPIR 2020: Proceedings of the 4th International Conference on Natural Language Processing and Information Retrieval, ACM, 2020. Abstract | Links | BibTeX | Tags: knowledge management, machine learning, requirement engineering @conference{Wicaksono2020, title = {Context-sensitive Assistance in Requirements-based Knowledge Management}, author = {Simon Fritz; Matthias Jaenicke; Jivka Ovtcharova; Hendro Wicaksono }, url = {https://doi.org/10.1145/3443279.3443306}, doi = {10.1145/3443279.3443306}, year = {2020}, date = {2020-12-17}, booktitle = {NLPIR 2020: Proceedings of the 4th International Conference on Natural Language Processing and Information Retrieval}, pages = {47–54}, publisher = {ACM}, abstract = {In this paper, a concept of a digital assistance system is presented which, based on computer linguistic methods, supports the user in the tasks of requirement-based knowledge management. The concept is divided into six modules that offer context-sensitive support in the identification, documentation, linking, modification and reuse of requirements and the associated knowledge. Since this concept was developed as part of the BMBF-funded SME Innovative Project DAM4KMU, which is primarily aimed at German SMEs, the concept developed was specially designed for processing German-language texts. The digital assistance system pursues the goal, on the one hand, of increasing the quality of the documentation by supporting the user in the creation of complete formulations. On the other hand, with the help of the most modern language models, possible relationships between the information should be identified and linked to each other in a partially automated manner. In addition, the integration of web crawling technologies should make the knowledge available on the Internet available in a context-sensitive manner, in order to lift possible innovations on the one hand and not to forget possible non-considered boundary conditions on the other. The automatic linking of all information is intended to ensure a continuous exchange of knowledge, which should reduce misunderstandings and non-communicated changes to requirements or goals to a minimum. }, keywords = {knowledge management, machine learning, requirement engineering}, pubstate = {published}, tppubtype = {conference} } In this paper, a concept of a digital assistance system is presented which, based on computer linguistic methods, supports the user in the tasks of requirement-based knowledge management. The concept is divided into six modules that offer context-sensitive support in the identification, documentation, linking, modification and reuse of requirements and the associated knowledge. Since this concept was developed as part of the BMBF-funded SME Innovative Project DAM4KMU, which is primarily aimed at German SMEs, the concept developed was specially designed for processing German-language texts. The digital assistance system pursues the goal, on the one hand, of increasing the quality of the documentation by supporting the user in the creation of complete formulations. On the other hand, with the help of the most modern language models, possible relationships between the information should be identified and linked to each other in a partially automated manner. In addition, the integration of web crawling technologies should make the knowledge available on the Internet available in a context-sensitive manner, in order to lift possible innovations on the one hand and not to forget possible non-considered boundary conditions on the other. The automatic linking of all information is intended to ensure a continuous exchange of knowledge, which should reduce misunderstandings and non-communicated changes to requirements or goals to a minimum. |
Agustia Dian; Sriani, Dewi; Wicaksono Hendro; Gani Lindawati Integrated reporting quality assessment Journal Article Journal of Security and Sustainability Issues, 10 (1), pp. 47-59, 2020. BibTeX | Tags: integrated assessment @article{Agustia2020, title = {Integrated reporting quality assessment}, author = {Agustia, Dian; Sriani, Dewi; Wicaksono, Hendro; Gani, Lindawati}, year = {2020}, date = {2020-09-01}, journal = {Journal of Security and Sustainability Issues}, volume = {10}, number = {1}, pages = {47-59}, keywords = {integrated assessment}, pubstate = {published}, tppubtype = {article} } |
2019 |
Rasyid Alfandino; Ulil Albaab, Mochammad Rifki; Falah Muhammad Fajrul Panduman Yohanes Yohanie Fridelin; Yusuf Alviansyah Arman; Basuki Dwi Kurnia; Tjahjono Anang; Budiarti Rizqi Putri Nourma; Sukaridhoto Sritrusta; Yudianto Firman; Wicaksono Hendro ; Pothole Visual Detection using Machine Learning Method integrated with Internet of Thing Video Streaming Platform Inproceedings 2019 International Electronics Symposium (IES), pp. 672-675, IEEE, 2019. Links | BibTeX | Tags: industry 4.0, Internet of Things, machine learning @inproceedings{Rasyid2019, title = {Pothole Visual Detection using Machine Learning Method integrated with Internet of Thing Video Streaming Platform}, author = {Rasyid, Alfandino; Ulil Albaab, Mochammad Rifki; Falah, Muhammad Fajrul ; Panduman, Yohanes Yohanie Fridelin; Yusuf, Alviansyah Arman; Basuki, Dwi Kurnia; Tjahjono, Anang; Budiarti, Rizqi Putri Nourma; Sukaridhoto, Sritrusta; Yudianto, Firman; Wicaksono, Hendro}, url = {https://ieeexplore.ieee.org/document/8901626}, doi = {10.1109/ELECSYM.2019.8901626}, year = {2019}, date = {2019-09-28}, booktitle = { 2019 International Electronics Symposium (IES)}, pages = {672-675}, publisher = {IEEE}, keywords = {industry 4.0, Internet of Things, machine learning}, pubstate = {published}, tppubtype = {inproceedings} } |
Rasyid Alfandino; Ulil Albaab, Mochammad Rifki; Falah Muhammad Fajrul; Panduman Yohanes Yohanie Fridelin; Yusuf Alviansyah Arman; Basuki Dwi Kurnia; Tjahjono Anang; Budiarti Rizqi Putri Nourma; Sukaridhoto Sritrusta; Yudianto Firman; Wicaksono Hendro Pothole visual detection using machine learning method integrated with internet of thing video streaming platform Conference 2019 International Electronics Symposium (IES) , 2019. BibTeX | Tags: machine learning, virtual engineering @conference{Rasyid2019b, title = {Pothole visual detection using machine learning method integrated with internet of thing video streaming platform}, author = {Rasyid, Alfandino; Ulil Albaab, Mochammad Rifki; Falah, Muhammad Fajrul; Panduman, Yohanes Yohanie Fridelin; Yusuf, Alviansyah Arman; Basuki, Dwi Kurnia; Tjahjono, Anang; Budiarti, Rizqi Putri Nourma; Sukaridhoto, Sritrusta; Yudianto, Firman; Wicaksono, Hendro}, year = {2019}, date = {2019-09-28}, booktitle = {2019 International Electronics Symposium (IES) }, keywords = {machine learning, virtual engineering}, pubstate = {published}, tppubtype = {conference} } |
Kusumawardana Arya; Habibi, Muhammad Afnan; Wibawanto Slamet; Wicaksono Hendro; Prasetya Yoga; Nurrahman Rizqi Coordination Power Control Of DC Water Pump System using Dual-loop Control and Consensus Algorithm Inproceedings 2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE), pp. 37-42, IEEE, 2019. Links | BibTeX | Tags: algorithm, artificial intelligence, energy efficiency, Energy efficient building @inproceedings{Kusumawardana2020, title = {Coordination Power Control Of DC Water Pump System using Dual-loop Control and Consensus Algorithm}, author = {Kusumawardana, Arya; Habibi, Muhammad Afnan; Wibawanto,Slamet; Wicaksono, Hendro; Prasetya, Yoga; Nurrahman, Rizqi }, url = {https://ieeexplore.ieee.org/document/8981473}, doi = {10.1109/ICEEIE47180.2019.8981473}, year = {2019}, date = {2019-02-01}, booktitle = {2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)}, pages = {37-42}, publisher = {IEEE}, keywords = {algorithm, artificial intelligence, energy efficiency, Energy efficient building}, pubstate = {published}, tppubtype = {inproceedings} } |
Schneider Georg Ferdinand; Wicaksono, Hendro; Ovtcharova Jivka Virtual engineering of cyber-physical automation systems: The case of control logic Journal Article Advanced Engineering Informatics, 39 , pp. 127-143, 2019, ISBN: 1474-0346. Abstract | Links | BibTeX | Tags: Cyber-physical systems, industry 4.0, Ontology, virtual engineering @article{Schneider2019, title = {Virtual engineering of cyber-physical automation systems: The case of control logic}, author = {Schneider, Georg Ferdinand; Wicaksono, Hendro; Ovtcharova, Jivka }, url = {https://www.sciencedirect.com/science/article/pii/S1474034618300740}, doi = {https://doi.org/10.1016/j.aei.2018.11.009.}, isbn = {1474-0346}, year = {2019}, date = {2019-01-31}, journal = {Advanced Engineering Informatics}, volume = {39}, pages = {127-143}, abstract = {Mastering the fusion of information and communication technologies with physical systems to cyber-physical automation systems is of main concern to engineers in the industrial automation domain. The engineering of these systems is challenging as their distributed nature and the heterogeneity of stakeholders and tools involved in their engineering contradict the need for the simultaneous engineering of their cyber and physical parts over their life cycle. This paper presents a novel approach based on the virtual engineering method, which provides support for the simultaneous engineering of the cyber and physical parts of automation systems. The approach extends and integrates the life cycle centered view mandated by current conceptual architectures and the digital twin paradigm with an integrated, iterative engineering method. The benefits of the approach are highlighted in a case study related to the engineering of the control logic of a cyber physical automation system originating from the process engineering domain. We describe for the first time a modular domain ontology, which formally describes the cyber and physical part of the system. We present cyber services built on top of the ontology layer, which allow to automatically verify different control logic types and simultaneously verify cyber and physical parts of the system in an incremental manner.}, keywords = {Cyber-physical systems, industry 4.0, Ontology, virtual engineering}, pubstate = {published}, tppubtype = {article} } Mastering the fusion of information and communication technologies with physical systems to cyber-physical automation systems is of main concern to engineers in the industrial automation domain. The engineering of these systems is challenging as their distributed nature and the heterogeneity of stakeholders and tools involved in their engineering contradict the need for the simultaneous engineering of their cyber and physical parts over their life cycle. This paper presents a novel approach based on the virtual engineering method, which provides support for the simultaneous engineering of the cyber and physical parts of automation systems. The approach extends and integrates the life cycle centered view mandated by current conceptual architectures and the digital twin paradigm with an integrated, iterative engineering method. The benefits of the approach are highlighted in a case study related to the engineering of the control logic of a cyber physical automation system originating from the process engineering domain. We describe for the first time a modular domain ontology, which formally describes the cyber and physical part of the system. We present cyber services built on top of the ontology layer, which allow to automatically verify different control logic types and simultaneously verify cyber and physical parts of the system in an incremental manner. |
2018 |
Wicaksono, Hendro Challenges and Opportunities of Asian Logistics and Logistics 4.0 Workshop Intercoop Basel, 2018. BibTeX | Tags: industry 4.0, Internet of Things, logistics, logistics 4.0 @workshop{Wicaksono2018f, title = {Challenges and Opportunities of Asian Logistics and Logistics 4.0}, author = {Hendro Wicaksono}, year = {2018}, date = {2018-09-04}, address = {Basel}, organization = {Intercoop}, keywords = {industry 4.0, Internet of Things, logistics, logistics 4.0}, pubstate = {published}, tppubtype = {workshop} } |
Wicaksono, Hendro Preparing Indonesia and Germany for Industry 4.0: A Reflection and Inspirations from both countries Presentation 22.08.2018. BibTeX | Tags: health 4.0, industry 4.0, industry 4.0 maturity assessment @misc{Wicaksono2018c, title = {Preparing Indonesia and Germany for Industry 4.0: A Reflection and Inspirations from both countries }, author = {Wicaksono, Hendro}, year = {2018}, date = {2018-08-22}, keywords = {health 4.0, industry 4.0, industry 4.0 maturity assessment}, pubstate = {published}, tppubtype = {presentation} } |
Wicaksono, Hendro Research and innovation on Industry 4.0 Technologies Workshop PENS Surabaya, Surabaya, Indonesia, 2018. BibTeX | Tags: Agriculture 4.0, industry 4.0, innovation management, Internet of Things, Media 4.0, smart cities, Supply Chain 4.0 @workshop{Wicaksono2018e, title = {Research and innovation on Industry 4.0 Technologies}, author = {Wicaksono, Hendro}, year = {2018}, date = {2018-08-16}, publisher = {PENS Surabaya}, address = {Surabaya, Indonesia}, keywords = {Agriculture 4.0, industry 4.0, innovation management, Internet of Things, Media 4.0, smart cities, Supply Chain 4.0}, pubstate = {published}, tppubtype = {workshop} } |
Wicaksono, Hendro Preparing IT Industry and Organizations Towards industry 4.0 Workshop The Government of East Java Province, Indonesia, Surabaya, Indonesia, 2018. BibTeX | Tags: education 4.0, industry 4.0, industry 4.0 maturity assessment, innovation management, innovation network @workshop{Wicaksono2018d, title = {Preparing IT Industry and Organizations Towards industry 4.0}, author = {Wicaksono, Hendro }, editor = {The Government of East Java Province, Indonesia}, year = {2018}, date = {2018-08-14}, publisher = {The Government of East Java Province, Indonesia}, address = {Surabaya, Indonesia}, keywords = {education 4.0, industry 4.0, industry 4.0 maturity assessment, innovation management, innovation network}, pubstate = {published}, tppubtype = {workshop} } |
Howell Shaun; Wicaksono, Hendro; Yuce Baris; McGlinn Kris; Rezgui Yacine User Centered Neuro-Fuzzy Energy Management Through Semantic-Based Optimization Journal Article IEEE Transactions on Cybernetics, pp. 1-15, 2018, ISSN: 2168-2267. Abstract | Links | BibTeX | Tags: Artificial neural network, building energy management, data mining, Fuzzy logic, Genetic algorithm, middleware, Ontology, optimization, semantic web, WebGL @article{Howell2018, title = {User Centered Neuro-Fuzzy Energy Management Through Semantic-Based Optimization}, author = {Howell, Shaun; Wicaksono, Hendro; Yuce, Baris; McGlinn, Kris; Rezgui, Yacine}, url = {https://ieeexplore.ieee.org/document/8412214/}, doi = {10.1109/TCYB.2018.2839700}, issn = {2168-2267}, year = {2018}, date = {2018-07-19}, journal = {IEEE Transactions on Cybernetics}, pages = {1-15}, abstract = {This paper presents a cloud-based building energy management system, underpinned by semantic middleware, that integrates an enhanced sensor network with advanced analytics, accessible through an intuitive Web-based user interface. The proposed solution is described in terms of its three key layers: 1) user interface; 2) intelligence; and 3) interoperability. The system's intelligence is derived from simulation-based optimized rules, historical sensor data mining, and a fuzzy reasoner. The solution enables interoperability through a semantic knowledge base, which also contributes intelligence through reasoning and inference abilities, and which are enhanced through intelligent rules. Finally, building energy performance monitoring is delivered alongside optimized rule suggestions and a negotiation process in a 3-D Web-based interface using WebGL. The solution has been validated in a real pilot building to illustrate the strength of the approach, where it has shown over 25% energy savings. The relevance of this paper in the field is discussed, and it is argued that the proposed solution is mature enough for testing across further buildings.}, keywords = {Artificial neural network, building energy management, data mining, Fuzzy logic, Genetic algorithm, middleware, Ontology, optimization, semantic web, WebGL}, pubstate = {published}, tppubtype = {article} } This paper presents a cloud-based building energy management system, underpinned by semantic middleware, that integrates an enhanced sensor network with advanced analytics, accessible through an intuitive Web-based user interface. The proposed solution is described in terms of its three key layers: 1) user interface; 2) intelligence; and 3) interoperability. The system's intelligence is derived from simulation-based optimized rules, historical sensor data mining, and a fuzzy reasoner. The solution enables interoperability through a semantic knowledge base, which also contributes intelligence through reasoning and inference abilities, and which are enhanced through intelligent rules. Finally, building energy performance monitoring is delivered alongside optimized rule suggestions and a negotiation process in a 3-D Web-based interface using WebGL. The solution has been validated in a real pilot building to illustrate the strength of the approach, where it has shown over 25% energy savings. The relevance of this paper in the field is discussed, and it is argued that the proposed solution is mature enough for testing across further buildings. |
Wicaksono, Hendro Material Ontology: A use case in energy management Workshop Materials Ontology Workshop, European Comission, European Comission - Directorate General for Research & Innovation, Directorate D - Industrial Technologies 2018. BibTeX | Tags: linked data, Ontology, vocabulary @workshop{Wicaksono2018b, title = {Material Ontology: A use case in energy management}, author = {Wicaksono, Hendro}, year = {2018}, date = {2018-06-29}, booktitle = {Materials Ontology Workshop, European Comission}, organization = {European Comission - Directorate General for Research & Innovation, Directorate D - Industrial Technologies}, keywords = {linked data, Ontology, vocabulary}, pubstate = {published}, tppubtype = {workshop} } |
Wicaksono, Hendro Eine Plattform für die ganzheitliche Smart-Energie-Lösung in Smart-City Presentation 09.04.2018. Abstract | Links | BibTeX | Tags: Energy efficient building, energy management, linked data, Ontology, semantic data integration, smart cities @misc{Wicaksono2018, title = {Eine Plattform für die ganzheitliche Smart-Energie-Lösung in Smart-City}, author = {Hendro Wicaksono }, editor = {RENEXPO Forum, Augsburg, 2018}, url = {http://www.renexpo.de/fuer-besucher/forum.html}, year = {2018}, date = {2018-04-09}, abstract = {Vortragsinhalte: - Was ist die eine ganzheitliche Energiemanagement-Plattform? - Was kann man mit der Plattform machen? - Die Anwendungen auf der Plattform - Die Lösungsansatz und Erweiterbarkeit - Anwendungserfahrungen in Städten und Kommunen }, keywords = {Energy efficient building, energy management, linked data, Ontology, semantic data integration, smart cities}, pubstate = {published}, tppubtype = {presentation} } Vortragsinhalte: - Was ist die eine ganzheitliche Energiemanagement-Plattform? - Was kann man mit der Plattform machen? - Die Anwendungen auf der Plattform - Die Lösungsansatz und Erweiterbarkeit - Anwendungserfahrungen in Städten und Kommunen |
Tonev, Kiril; Kappe, Simon; Krahtova, Preslava; Wicaksono, Hendro; Ovtcharova, Jivka District-Scale Data Integration by Leveraging Semantic Web Technologies: a Case in Smart Cities Book Chapter Christophe Debruyne Hervé Panetto, Georg Weichhart Peter Bollen Ioana Ciuciu Maria-Esther Vidal Robert Meersman (Ed.): pp. 289-292, Springer, 2018, ISBN: 9783319738055. Abstract | Links | BibTeX | Tags: building energy simulation, ontology alignment, semantic data integration, smart cities @inbook{Tonev2018, title = {District-Scale Data Integration by Leveraging Semantic Web Technologies: a Case in Smart Cities}, author = {Kiril Tonev and Simon Kappe and Preslava Krahtova and Hendro Wicaksono and Jivka Ovtcharova}, editor = {Christophe Debruyne, Hervé Panetto, Georg Weichhart, Peter Bollen, Ioana Ciuciu, Maria-Esther Vidal, Robert Meersman}, url = {https://www.springer.com/us/book/9783319738048}, isbn = {9783319738055}, year = {2018}, date = {2018-03-04}, pages = {289-292}, publisher = {Springer}, abstract = {Technologies of the Semantic Web stack promise to alleviate some of the challenges related to data integration on a massive scale and high level heterogenity. Thus paper explores their application in the smart cities domain with a focus on energy efficient districts. We develop an ontology grounded in several well-established vocabularies to leverage their shared semantics and facilitate data interoperability and we apply the developed ontology to integrate state-of-the-art energy simulation facilities into a general district-level monitoring framework.}, keywords = {building energy simulation, ontology alignment, semantic data integration, smart cities}, pubstate = {published}, tppubtype = {inbook} } Technologies of the Semantic Web stack promise to alleviate some of the challenges related to data integration on a massive scale and high level heterogenity. Thus paper explores their application in the smart cities domain with a focus on energy efficient districts. We develop an ontology grounded in several well-established vocabularies to leverage their shared semantics and facilitate data interoperability and we apply the developed ontology to integrate state-of-the-art energy simulation facilities into a general district-level monitoring framework. |
Haas, Klemens; Kappe, Simon; Siebert, Martin; Wicaksono, Hendro; Ovtcharova, Jivka Digital Assistance Based on an Ontology Driven Model of the IT-Systems Along the Product Lifecycle Book Chapter Debruyne, Christophe; Panetto, Hervé; Weichhart, Georg; Bollen, Peter; Ciuciu, Ioana; Vidal, Maria-Esther; Meersman, Robert (Ed.): Springer, 2018, ISBN: 978-3-319-73805-5. Abstract | Links | BibTeX | Tags: digitization, Ontology, product lifecycle management @inbook{Haas2018, title = {Digital Assistance Based on an Ontology Driven Model of the IT-Systems Along the Product Lifecycle}, author = {Klemens Haas and Simon Kappe and Martin Siebert and Hendro Wicaksono and Jivka Ovtcharova}, editor = {Christophe Debruyne and Hervé Panetto and Georg Weichhart and Peter Bollen and Ioana Ciuciu and Maria-Esther Vidal and Robert Meersman}, url = {https://www.springer.com/us/book/9783319738048}, doi = {10.1007/978-3-319-73805-5}, isbn = {978-3-319-73805-5}, year = {2018}, date = {2018-03-04}, publisher = {Springer}, abstract = {The market of Product Lifecycle Management (PLM) applications has changed into a complex landscape of heterogeneous systems in recent years. Consequently, it has become increasingly challenging for enterprises to identify a PLM application that meets their requirements and that can be successfully integrated into their existing IT systems. The approach presented in this paper aims at developing a decision supporting model of the IT system landscape that provides different analysis tools based on existing IT systems. The model which is expressed by an ontology is intended to represent data flows between the different IT applications in order to provide relevant information through requests and rules in further proceedings.}, keywords = {digitization, Ontology, product lifecycle management}, pubstate = {published}, tppubtype = {inbook} } The market of Product Lifecycle Management (PLM) applications has changed into a complex landscape of heterogeneous systems in recent years. Consequently, it has become increasingly challenging for enterprises to identify a PLM application that meets their requirements and that can be successfully integrated into their existing IT systems. The approach presented in this paper aims at developing a decision supporting model of the IT system landscape that provides different analysis tools based on existing IT systems. The model which is expressed by an ontology is intended to represent data flows between the different IT applications in order to provide relevant information through requests and rules in further proceedings. |
2017 |
Wicaksono, Hendro Best practices of university IT policies and governance Workshop UIN Surabaya Surabaya,Indonesia, 2017. BibTeX | Tags: IT govenrnance, IT management, software engineering @workshop{Wicaksono2017b, title = {Best practices of university IT policies and governance}, author = {Hendro Wicaksono }, year = {2017}, date = {2017-12-28}, address = {Surabaya,Indonesia}, organization = {UIN Surabaya}, keywords = {IT govenrnance, IT management, software engineering}, pubstate = {published}, tppubtype = {workshop} } |
Wicaksono, Hendro Welcoming industry 4.0 through synergy between higher education, business, and government: a perspective from Germany Presentation 19.12.2017. Links | BibTeX | Tags: industry 4.0, IT education, social education @misc{Wicaksono2017d, title = {Welcoming industry 4.0 through synergy between higher education, business, and government: a perspective from Germany}, author = {Hendro Wicaksono}, url = {http://uin-suka.ac.id/page/berita/detail/1551}, year = {2017}, date = {2017-12-19}, keywords = {industry 4.0, IT education, social education}, pubstate = {published}, tppubtype = {presentation} } |
Wicaksono, Hendro Towards high quality and social-aware nation of Indonesia 2030 - An Inspiration from Germany Presentation 18.12.2017. Links | BibTeX | Tags: industry 4.0, IT education, social education @misc{Wicaksono2017c, title = {Towards high quality and social-aware nation of Indonesia 2030 - An Inspiration from Germany}, author = {Hendro Wicaksono}, url = {http://brianrakhmataji.me/blog/mengenal-industry-4-dot-0-bersama-dr-ing-hendro-wicaksono-dalam-seminar-informatika-2017/}, year = {2017}, date = {2017-12-18}, keywords = {industry 4.0, IT education, social education}, pubstate = {published}, tppubtype = {presentation} } |
Wicaksono, Hendro DAREED: IT-Plattform für Energieeffizienz in Smart-City Workshop CEB Karlsruhe, 2017. Links | BibTeX | Tags: energy efficiency, IT integration, IT platform, semantic data integration, smart cities, smart energy @workshop{Wicaksono2017e, title = {DAREED: IT-Plattform für Energieeffizienz in Smart-City}, author = {Hendro Wicaksono}, url = {https://www.buildingsmart.de/kos/WNetz?art=File.download&id=6388&name=CEB17-Kongressprogramm.pdf http://presse.karlsruhe.de/db/meldungen/wirtschaft/best_practice_beispiele_fur_unternehmen.html}, year = {2017}, date = {2017-06-29}, address = {Karlsruhe}, organization = {CEB}, keywords = {energy efficiency, IT integration, IT platform, semantic data integration, smart cities, smart energy}, pubstate = {published}, tppubtype = {workshop} } |
McGlinn, Kris; Yuce, Baris; Wicaksono, Hendro; Howell, Shaun; Rezgui, Yacine Usability evaluation of a web-based tool for supporting holistic building energy management Journal Article Automation in Construction, 84 , pp. 154 - 165, 2017. Abstract | Links | BibTeX | Tags: Artificial neural network, BEMS, Fuzzy logic, Genetic algorithm, IFC, Information visualisation, Ontology @article{MCGLINN2017154, title = {Usability evaluation of a web-based tool for supporting holistic building energy management}, author = {Kris McGlinn and Baris Yuce and Hendro Wicaksono and Shaun Howell and Yacine Rezgui}, url = {https://www.sciencedirect.com/science/article/pii/S0926580516303545}, doi = {https://doi.org/10.1016/j.autcon.2017.08.033}, year = {2017}, date = {2017-03-31}, journal = {Automation in Construction}, volume = {84}, pages = {154 - 165}, abstract = {This paper presents the evaluation of the level of usability of an intelligent monitoring and control interface for energy efficient management of public buildings, called BuildVis, which forms part of a Building Energy Management System (BEMS.) The BEMS ‘intelligence’ is derived from an intelligent algorithm component which brings together ANN-GA rule generation, a fuzzy rule selection engine, and a semantic knowledge base. The knowledge base makes use of linked data and an integrated ontology to uplift heterogeneous data sources relevant to building energy consumption. The developed ontology is based upon the Industry Foundation Classes (IFC), which is a Building Information Modelling (BIM) standard and consists of two different types of rule model to control and manage the buildings adaptively. The populated rules are a mix of an intelligent rule generation approach using Artificial Neural Network (ANN) and Genetic Algorithms (GA), and also data mining rules using Decision Tree techniques on historical data. The resulting rules are triggered by the intelligent controller, which processes available sensor measurements in the building. This generates ‘suggestions’ which are presented to the Facility Manager (FM) on the BuildVis web-based interface. BuildVis uses HTML5 innovations to visualise a 3D interactive model of the building that is accessible over a wide range of desktop and mobile platforms. The suggestions are presented on a zone by zone basis, alerting them to potential energy saving actions. As the usability of the system is seen as a key determinate to success, the paper evaluates the level of usability for both a set of technical users and also the FMs for five European buildings, providing analysis and lessons learned from the approach taken.}, keywords = {Artificial neural network, BEMS, Fuzzy logic, Genetic algorithm, IFC, Information visualisation, Ontology}, pubstate = {published}, tppubtype = {article} } This paper presents the evaluation of the level of usability of an intelligent monitoring and control interface for energy efficient management of public buildings, called BuildVis, which forms part of a Building Energy Management System (BEMS.) The BEMS ‘intelligence’ is derived from an intelligent algorithm component which brings together ANN-GA rule generation, a fuzzy rule selection engine, and a semantic knowledge base. The knowledge base makes use of linked data and an integrated ontology to uplift heterogeneous data sources relevant to building energy consumption. The developed ontology is based upon the Industry Foundation Classes (IFC), which is a Building Information Modelling (BIM) standard and consists of two different types of rule model to control and manage the buildings adaptively. The populated rules are a mix of an intelligent rule generation approach using Artificial Neural Network (ANN) and Genetic Algorithms (GA), and also data mining rules using Decision Tree techniques on historical data. The resulting rules are triggered by the intelligent controller, which processes available sensor measurements in the building. This generates ‘suggestions’ which are presented to the Facility Manager (FM) on the BuildVis web-based interface. BuildVis uses HTML5 innovations to visualise a 3D interactive model of the building that is accessible over a wide range of desktop and mobile platforms. The suggestions are presented on a zone by zone basis, alerting them to potential energy saving actions. As the usability of the system is seen as a key determinate to success, the paper evaluates the level of usability for both a set of technical users and also the FMs for five European buildings, providing analysis and lessons learned from the approach taken. |
Wicaksono, Hendro Einsatz von (Open)-Linked-Data für Gebäudeinformationsmodellierung Inproceedings GmbH, Open Experience (Ed.): Forum Digitale Transformation des Baubetriebs in der Praxis, openexperience.de, 2017. Links | BibTeX | Tags: building energy management, linked data @inproceedings{Wicaksono2017, title = {Einsatz von (Open)-Linked-Data für Gebäudeinformationsmodellierung}, author = {Hendro Wicaksono }, editor = {Open Experience GmbH}, url = {https://openexperience.de/Forum_Digitale_Transformation_des_Baubetriebs_in_der_Praxis.html#Tagungsband}, year = {2017}, date = {2017-01-19}, booktitle = {Forum Digitale Transformation des Baubetriebs in der Praxis}, volume = {1}, publisher = {openexperience.de}, keywords = {building energy management, linked data}, pubstate = {published}, tppubtype = {inproceedings} } |
2016 |
McGlinn, Kris; Wiese, Matthias; Wicaksono, Hendro Towards a shared use case repository – the SWIMing initiative started in the framework of the EU H2020 R&DI programme Inproceedings Proceedings of the 33rd International Conference of CIB W78, Digital library of construction informatics and information technology in civil engineering and construction, 2016. Abstract | Links | BibTeX | Tags: building information modelling, Energy efficient building, linked data, Ontology @inproceedings{McGlinn2016, title = {Towards a shared use case repository – the SWIMing initiative started in the framework of the EU H2020 R&DI programme}, author = {Kris McGlinn and Matthias Wiese and Hendro Wicaksono}, url = {http://itc.scix.net/data/works/att/w78-2016-paper-010.pdf}, year = {2016}, date = {2016-11-02}, booktitle = {Proceedings of the 33rd International Conference of CIB W78}, publisher = {Digital library of construction informatics and information technology in civil engineering and construction}, abstract = {Data exchange and data sharing are one of the big challenges in the Architecture, Engineering, and Construction (AEC) industry and energy efficient building (EeB) domain. BIM open standards and lately the use of Semantic Web technologies provide a sound basis to implement exchange requirements derived from typical EeB use cases. However, the challenge remains to identify what models are available and how to align these with a particular use cases data requirements. This paper focuses on the application of an established methodology (Information Delivery Manual) adapted for the EeB domain and the application of the BIM*Q tool, which applies this methodology. The paper proposes to build-up a shared use case repository that collects detailed data Exchange Requirements as well as alignments to existing models to support projects when developing new use cases in the difficult task of aligning data requirements with models and standards. }, keywords = {building information modelling, Energy efficient building, linked data, Ontology}, pubstate = {published}, tppubtype = {inproceedings} } Data exchange and data sharing are one of the big challenges in the Architecture, Engineering, and Construction (AEC) industry and energy efficient building (EeB) domain. BIM open standards and lately the use of Semantic Web technologies provide a sound basis to implement exchange requirements derived from typical EeB use cases. However, the challenge remains to identify what models are available and how to align these with a particular use cases data requirements. This paper focuses on the application of an established methodology (Information Delivery Manual) adapted for the EeB domain and the application of the BIM*Q tool, which applies this methodology. The paper proposes to build-up a shared use case repository that collects detailed data Exchange Requirements as well as alignments to existing models to support projects when developing new use cases in the difficult task of aligning data requirements with models and standards. |
Tonev, Kiril; Wicaksono, Hendro Semantic Data Integration for Smart Cities using Linked Data Inproceedings 11th European Conference on Product and Process Modelling , 2016. BibTeX | Tags: linked data, smart cities @inproceedings{Tonev2016, title = {Semantic Data Integration for Smart Cities using Linked Data}, author = {Kiril Tonev and Hendro Wicaksono}, year = {2016}, date = {2016-09-07}, booktitle = {11th European Conference on Product and Process Modelling }, keywords = {linked data, smart cities}, pubstate = {published}, tppubtype = {inproceedings} } |
Wicaksono, Hendro KITopen, 2016. Abstract | Links | BibTeX | Tags: @book{Wicaksono2016, title = {An Integrated Method for Information and Communication Technology (ICT) Supported Energy Efficiency Evaluation and Optimization in Manufacturing: Knowledge-based Approach and Energy Performance Indicators (EnPI) to Support Evaluation and Optimization of Energy Efficiency}, author = {Hendro Wicaksono}, url = {https://publikationen.bibliothek.kit.edu/1000060882}, doi = {10.5445/IR/1000060882}, year = {2016}, date = {2016-08-30}, publisher = {KITopen}, abstract = {This thesis develops a holistic evaluation and optimization of energy efficiency in manufacturing. The innovation of this thesis consists in the integrated method applying an expressive and adaptive ontology knowledge base capable of learning, and sector-independent, straightforward energy performance indicator for evaluating different processes and units within a company. This thesis also develops a hyper-heuristics-based energy-optimized and flexible production scheduling.}, keywords = {}, pubstate = {published}, tppubtype = {book} } This thesis develops a holistic evaluation and optimization of energy efficiency in manufacturing. The innovation of this thesis consists in the integrated method applying an expressive and adaptive ontology knowledge base capable of learning, and sector-independent, straightforward energy performance indicator for evaluating different processes and units within a company. This thesis also develops a hyper-heuristics-based energy-optimized and flexible production scheduling. |
McGlinn, Kris; Wicaksono, Hendro; Lawton, Willie; Wiese, Matthias; and Kaklanis, Nikolaos; Petri, Ioanna; Tzovaras, Dimitrios Identifying use cases and data requirements for BIM based energy management Inproceedings CIBSE, 2016. Abstract | Links | BibTeX | Tags: building energy management, building information modelling, building lifecycle management, Energy efficient building, linked data, use cases @inproceedings{McGlinn2016b, title = {Identifying use cases and data requirements for BIM based energy management}, author = {Kris McGlinn and Hendro Wicaksono and Willie Lawton and Matthias Wiese and and Nikolaos Kaklanis and Ioanna Petri and Dimitrios Tzovaras}, url = {https://www.cibse.org/knowledge/knowledge-items/detail?id=a0q20000008I71X}, year = {2016}, date = {2016-04-15}, publisher = {CIBSE}, abstract = {Energy consumption over the whole Building Lifecycle (BLC) is difficult to monitor and predict due to the complexity of the processes involved. Building Information Modelling (BIM) addresses the management and interoperability of the data exchanged between different computer applications employed at different stages of the BLC. Industry Foundation Classes (IFC) is a leading standard of BIM implementation. As yet, IFC does not cover all data structures to meet the latest use case data requirements for energy management. Linking IFC with other available ontologies is one potential solution. In this paper 46 unique use cases are identified over 33 EU projects in the Energy Efficient Building domain and explored in order to identify the most relevant data domains across projects. These data domains will form the basis of a process of alignment of project data models with existing standards and ontologies. It will also provide the basis of guidelines for new projects wishing to improve interoperability.}, keywords = {building energy management, building information modelling, building lifecycle management, Energy efficient building, linked data, use cases}, pubstate = {published}, tppubtype = {inproceedings} } Energy consumption over the whole Building Lifecycle (BLC) is difficult to monitor and predict due to the complexity of the processes involved. Building Information Modelling (BIM) addresses the management and interoperability of the data exchanged between different computer applications employed at different stages of the BLC. Industry Foundation Classes (IFC) is a leading standard of BIM implementation. As yet, IFC does not cover all data structures to meet the latest use case data requirements for energy management. Linking IFC with other available ontologies is one potential solution. In this paper 46 unique use cases are identified over 33 EU projects in the Energy Efficient Building domain and explored in order to identify the most relevant data domains across projects. These data domains will form the basis of a process of alignment of project data models with existing standards and ontologies. It will also provide the basis of guidelines for new projects wishing to improve interoperability. |
2015 |
Klug, Fridolin; Wicaksono, Hendro; Budiarto, Rachmawan Energy modeling for an efficient system development in Indonesian Province Nusa Tenggara Timur (NTT) Journal Article Energy for Sustainable Development, 28 , pp. 88 - 94, 2015, ISSN: 0973-0826. Abstract | Links | BibTeX | Tags: Cost efficiency, Energy modeling, Energy system configuration, Model scenarios, Sustainable energy planning @article{Klug2015, title = {Energy modeling for an efficient system development in Indonesian Province Nusa Tenggara Timur (NTT)}, author = {Fridolin Klug and Hendro Wicaksono and Rachmawan Budiarto}, url = {https://www.sciencedirect.com/science/article/pii/S0973082615000733}, doi = {10.1016/j.esd.2015.07.001}, issn = {0973-0826}, year = {2015}, date = {2015-10-01}, journal = {Energy for Sustainable Development}, volume = {28}, pages = {88 - 94}, abstract = {The Indonesian province Nusa Tenggara Timur (NTT) has a great potential of renewable energy, especially geothermal resources. However, electricity demand nowadays is mainly served by diesel generators. For inducing a change in the power generation portfolio the Indonesian government has formulated the goal to generate 25% of the electricity with renewable energy carriers from 2025 on. There are numerous possible ways for reaching this goal. In the course of this study a computational energy model was implemented to evaluate future system configurations. The evaluation was based on six different analysis scenarios. Particular scenario components were defined with different available options, e.g. high or low potential of renewables and the scenarios were determined by the combination of the chosen component options. The model area was divided into 10 model regions with specific properties and the temporal horizon of the model mostly covered a time period until 2032. The results showed a favored fast expansion of geothermal and hydro generation technologies in NTT. For regions without these resources electricity generation by coal fired plants was preferred over oil fired plants. However, it is recommended to keep certain capacities of oil fired plants for peak demand. Additionally, carbon dioxide tracking was included and a comparison of the emissions among the scenarios showed a significant impact of decreasing investment prices for renewable technologies and the 25% policy.}, keywords = {Cost efficiency, Energy modeling, Energy system configuration, Model scenarios, Sustainable energy planning}, pubstate = {published}, tppubtype = {article} } The Indonesian province Nusa Tenggara Timur (NTT) has a great potential of renewable energy, especially geothermal resources. However, electricity demand nowadays is mainly served by diesel generators. For inducing a change in the power generation portfolio the Indonesian government has formulated the goal to generate 25% of the electricity with renewable energy carriers from 2025 on. There are numerous possible ways for reaching this goal. In the course of this study a computational energy model was implemented to evaluate future system configurations. The evaluation was based on six different analysis scenarios. Particular scenario components were defined with different available options, e.g. high or low potential of renewables and the scenarios were determined by the combination of the chosen component options. The model area was divided into 10 model regions with specific properties and the temporal horizon of the model mostly covered a time period until 2032. The results showed a favored fast expansion of geothermal and hydro generation technologies in NTT. For regions without these resources electricity generation by coal fired plants was preferred over oil fired plants. However, it is recommended to keep certain capacities of oil fired plants for peak demand. Additionally, carbon dioxide tracking was included and a comparison of the emissions among the scenarios showed a significant impact of decreasing investment prices for renewable technologies and the 25% policy. |
Wicaksono, Hendro; Dobreva, Preslava; Häfner, Polina; Rogalski, Sven Fred, Ana; Dietz, Jan L G; Liu, Kecheng; Filipe, Joaquim (Ed.): Springer, Berlin, Heidelberg, Berlin, Heidelberg, 2015, ISBN: 978-3-662-46548-6. Links | BibTeX | Tags: building information modelling, Energy efficient building, ontology engineering, ontology population @inbook{Wicaksono2015b, title = {Methodology to Develop Ontological Building Information Model for Energy Management System in Building Operational Phase}, author = {Hendro Wicaksono and Preslava Dobreva and Polina Häfner and Sven Rogalski}, editor = {Ana Fred and Jan L.G. Dietz and Kecheng Liu and Joaquim Filipe}, url = {https://link.springer.com/chapter/10.1007/978-3-662-46549-3_11}, doi = {10.1007/978-3-662-46549-3_11}, isbn = {978-3-662-46548-6}, year = {2015}, date = {2015-04-25}, publisher = {Springer, Berlin, Heidelberg}, address = {Berlin, Heidelberg}, keywords = {building information modelling, Energy efficient building, ontology engineering, ontology population}, pubstate = {published}, tppubtype = {inbook} } |
Wicaksono, Hendro Intelligent Information model for improving energy efficiency in building operational phase Conference Jahrestagung des KIT-Zentrums Energie, EST Energy Science Technology, 2015. BibTeX | Tags: building information modelling, Energy efficient building, Ontology, ontology engineering, ontology population @conference{Wicaksono2015, title = {Intelligent Information model for improving energy efficiency in building operational phase}, author = {Hendro Wicaksono}, year = {2015}, date = {2015-01-20}, booktitle = {Jahrestagung des KIT-Zentrums Energie, EST Energy Science Technology}, keywords = {building information modelling, Energy efficient building, Ontology, ontology engineering, ontology population}, pubstate = {published}, tppubtype = {conference} } |
2014 |
Wicaksono, Hendro; Jost, Fabian; Rogalski, Sven; Ovtcharova, Jivka Energy efficiency evaluation in manufacturing through an ontology-represented knowledge base Journal Article Intelligent Systems in Accounting, Finance and Management, 21 (1), pp. 59-69, 2014. Abstract | Links | BibTeX | Tags: energy efficiency, knowledge base, knowledge management, manufacturing, Ontology @article{Wicaksono2014, title = {Energy efficiency evaluation in manufacturing through an ontology-represented knowledge base}, author = {Hendro Wicaksono and Fabian Jost and Sven Rogalski and Jivka Ovtcharova}, url = {http://onlinelibrary.wiley.com/doi/10.1002/isaf.1347/abstract}, doi = {10.1002/isaf.1347}, year = {2014}, date = {2014-04-01}, journal = {Intelligent Systems in Accounting, Finance and Management}, volume = {21}, number = {1}, pages = {59-69}, abstract = {Improving energy efficiency in a manufacturing company through an energy management system requires active participation of different stakeholders and involvement of different organizational entities and technical processes. Interoperability of stakeholders and entities is the key factor to achieve a successful implementation of an energy management system. Researchers have been developing approaches in applying ontologies to address interoperability issues among humans as well as machines. Ontologies have also been used for knowledge representation in different domains, such as energy management and manufacturing. In recent years, researchers have developed knowledge-based intelligent energy management systems in buildings, especially households, which use ontologies for knowledge representation. In the manufacturing domain, ontologies have been used for knowledge management in order to provide a common formal understanding between the stakeholders, who have different background knowledge. This paper proposes an approach to apply ontology to allow knowledge-based energy efficiency evaluation in manufacturing companies. The ontology provides a formal knowledge representation that addresses the interoperability issues due to different human stakeholders as well as machines involved in the energy management system of the company. This paper also describes the methods used to construct and to process the ontology. }, keywords = {energy efficiency, knowledge base, knowledge management, manufacturing, Ontology}, pubstate = {published}, tppubtype = {article} } Improving energy efficiency in a manufacturing company through an energy management system requires active participation of different stakeholders and involvement of different organizational entities and technical processes. Interoperability of stakeholders and entities is the key factor to achieve a successful implementation of an energy management system. Researchers have been developing approaches in applying ontologies to address interoperability issues among humans as well as machines. Ontologies have also been used for knowledge representation in different domains, such as energy management and manufacturing. In recent years, researchers have developed knowledge-based intelligent energy management systems in buildings, especially households, which use ontologies for knowledge representation. In the manufacturing domain, ontologies have been used for knowledge management in order to provide a common formal understanding between the stakeholders, who have different background knowledge. This paper proposes an approach to apply ontology to allow knowledge-based energy efficiency evaluation in manufacturing companies. The ontology provides a formal knowledge representation that addresses the interoperability issues due to different human stakeholders as well as machines involved in the energy management system of the company. This paper also describes the methods used to construct and to process the ontology. |
Anzaldi, Gabriel; Corchero, Aitor; Wicaksono, Hendro; McGlinn, Kris; Gardelan, Anton; Dibley, Michael J Knoholem: Knowledge-Based Energy Management for Public Buildings Through Holistic Information Modeling and 3D Visualization Inproceedings Gonzalez, Ignacio (Ed.): International Technology Robotics Applications, pp. 47-56, Springer International Publishing Switzerland Springer International Publishing, Switzerland, 2014, ISBN: 978-3-319-02332-8. Abstract | Links | BibTeX | Tags: building energy management, building information modelling, knowledge based energy management, Ontology @inproceedings{Anzaldi2014, title = {Knoholem: Knowledge-Based Energy Management for Public Buildings Through Holistic Information Modeling and 3D Visualization}, author = {Gabriel Anzaldi and Aitor Corchero and Hendro Wicaksono and Kris McGlinn and Anton Gardelan and Michael J. Dibley}, editor = {Ignacio Gonzalez}, url = {http://www.springer.com/de/book/9783319023311}, doi = {10.1007/978-3-319-02332-8}, isbn = {978-3-319-02332-8}, year = {2014}, date = {2014-01-09}, booktitle = {International Technology Robotics Applications}, volume = {70}, number = {1}, pages = {47-56}, publisher = {Springer International Publishing}, address = {Switzerland}, organization = {Springer International Publishing Switzerland}, abstract = {The mismanagement of energy in public buildings is related with the continuous growing up of energy consumption. Energy efficiency concept is one of the main awareness in the current society. The main contribution of the paper is focused on describing intelligent energy management architecture capable of intelligent generation of recommendations taking into account infrastructure behavior (building), user behavior (occupants of the building) and holistic techniques (recommendations and knowledge from other buildings). This article describes an approach developed under European Union project called KnoHolEM. Project solution is characterized by:(1) Support buildings in (near-) real-time energy monitoring through smart metering;(2) Knowledge-based development of intelligent energy management solutions, supporting interoperability between heterogeneous systems and assisted by algorithms for energy consumption.}, keywords = {building energy management, building information modelling, knowledge based energy management, Ontology}, pubstate = {published}, tppubtype = {inproceedings} } The mismanagement of energy in public buildings is related with the continuous growing up of energy consumption. Energy efficiency concept is one of the main awareness in the current society. The main contribution of the paper is focused on describing intelligent energy management architecture capable of intelligent generation of recommendations taking into account infrastructure behavior (building), user behavior (occupants of the building) and holistic techniques (recommendations and knowledge from other buildings). This article describes an approach developed under European Union project called KnoHolEM. Project solution is characterized by:(1) Support buildings in (near-) real-time energy monitoring through smart metering;(2) Knowledge-based development of intelligent energy management solutions, supporting interoperability between heterogeneous systems and assisted by algorithms for energy consumption. |
2013 |
Wicaksono, Hendro; Aleksandrov, Kiril; Rogalski, Sven; Ovtcharova, Jivka An ICT Supported Holistic Approach for Qualitative and Quantitative Energy Efficiency Evaluation in Manufacturing Company Inproceedings Emmanouilidis, Christos; Taisch, Marco; Kiritsis, Dimitris (Ed.): Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services, pp. 25-32, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, ISBN: 978-3-642-40352-1. Abstract | Links | BibTeX | Tags: energy performance indicator, manufacturing @inproceedings{Wicaksono2013, title = {An ICT Supported Holistic Approach for Qualitative and Quantitative Energy Efficiency Evaluation in Manufacturing Company}, author = {Hendro Wicaksono and Kiril Aleksandrov and Sven Rogalski and Jivka Ovtcharova}, editor = {Christos Emmanouilidis and Marco Taisch and Dimitris Kiritsis}, url = {https://link.springer.com/chapter/10.1007/978-3-642-40352-1_4}, doi = {10.1007/978-3-642-40352-1_4}, isbn = {978-3-642-40352-1}, year = {2013}, date = {2013-12-03}, booktitle = {Advances in Production Management Systems. Competitive Manufacturing for Innovative Products and Services}, pages = {25-32}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, abstract = {The global climate change and the rising of energy prices force manufacturing companies to regulate their energy usage. A suitable step to achieve that is the introduction of energy management. This paper presents an ICT based holistic approach to help manufacturing companies in the implementation of energy management system. It consists of methods to support quantitative and qualitative energy efficiency evaluation of their operations. The approach uses an ontological knowledge base containing the structures and rules representing best practices as reference of energy efficiency to support the qualitative evaluation. In the approach, we also develop measurement figures called Energy Performance Indices (EPI) to determine the energy efficiency degrees in different organizational parts of the company. The paper also describes the application of the approach in a small medium sized manufacturer.}, keywords = {energy performance indicator, manufacturing}, pubstate = {published}, tppubtype = {inproceedings} } The global climate change and the rising of energy prices force manufacturing companies to regulate their energy usage. A suitable step to achieve that is the introduction of energy management. This paper presents an ICT based holistic approach to help manufacturing companies in the implementation of energy management system. It consists of methods to support quantitative and qualitative energy efficiency evaluation of their operations. The approach uses an ontological knowledge base containing the structures and rules representing best practices as reference of energy efficiency to support the qualitative evaluation. In the approach, we also develop measurement figures called Energy Performance Indices (EPI) to determine the energy efficiency degrees in different organizational parts of the company. The paper also describes the application of the approach in a small medium sized manufacturer. |
Wicaksono, Hendro; Dobreva, Preslava; Häfner, Polina; Ovtcharova, Jivka Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013), pp. 38-47, INSTICC SciTePress, Lissabon, 2013, ISBN: 978-989-8565-81-5. Abstract | Links | BibTeX | Tags: building information modelling, Energy efficient building, ontology engineering, ontology population @inproceedings{Wicaksono2013b, title = {Ontology Development towards Expressive and Reasoning-enabled Building Information Model for an Intelligent Energy Management System}, author = {Hendro Wicaksono and Preslava Dobreva and Polina Häfner and Jivka Ovtcharova }, url = {http://www.scitepress.org/PublicationsDetail.aspx?ID=crW8NNTn1p4=&t=1}, doi = {10.5220/0004540300380047}, isbn = {978-989-8565-81-5}, year = {2013}, date = {2013-09-23}, booktitle = {Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)}, volume = {1}, pages = {38-47}, publisher = {SciTePress}, address = {Lissabon}, organization = {INSTICC}, abstract = {In recent years, energy consumption in buildings has been rising and is currently representing a significant percentage of the whole energy consumption on earth. The EU has responded this trend by requiring zero energy consumption by 2020 and by supporting innovative research approaches for improving energy efficiency in buildings without decreasing inhabitants comfort. This paper describes the approach to develop an intelligent system for building specific energy management that allows occupants and facility managers to monitor and control the energy consumption and also detects their wasting points. An ontology based information model for building energy management offering expressive representation and reasoning capability is also introduced in this paper. We highlight an approach to develop the ontology as the knowledge base providing the intelligence of the system. Furthermore we demonstrate how the energy performance analysis is improved using the ontology based approach.}, keywords = {building information modelling, Energy efficient building, ontology engineering, ontology population}, pubstate = {published}, tppubtype = {inproceedings} } In recent years, energy consumption in buildings has been rising and is currently representing a significant percentage of the whole energy consumption on earth. The EU has responded this trend by requiring zero energy consumption by 2020 and by supporting innovative research approaches for improving energy efficiency in buildings without decreasing inhabitants comfort. This paper describes the approach to develop an intelligent system for building specific energy management that allows occupants and facility managers to monitor and control the energy consumption and also detects their wasting points. An ontology based information model for building energy management offering expressive representation and reasoning capability is also introduced in this paper. We highlight an approach to develop the ontology as the knowledge base providing the intelligence of the system. Furthermore we demonstrate how the energy performance analysis is improved using the ontology based approach. |
Wicaksono, Hendro; Belzner, Tim; Ovtcharova, Jivka Efficient Energy Performance Indicators for Different Level of Production Organizations in Manufacturing Companies Inproceedings Prabhu, Vittal; Taisch, Marco; Kiritsis, Dimitris (Ed.): Advances in Production Management Systems. Sustainable Production and Service Supply Chains, pp. 249-256, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, ISBN: 978-3-642-41266-0. Abstract | Links | BibTeX | Tags: energy efficiency, energy performance indicator, manufacturing @inproceedings{Wicaksono2013c, title = {Efficient Energy Performance Indicators for Different Level of Production Organizations in Manufacturing Companies}, author = {Hendro Wicaksono and Tim Belzner and Jivka Ovtcharova}, editor = {Vittal Prabhu and Marco Taisch and Dimitris Kiritsis}, url = {https://link.springer.com/book/10.1007/978-3-642-41266-0}, doi = {10.1007/978-3-642-41266-0_31}, isbn = {978-3-642-41266-0}, year = {2013}, date = {2013-09-12}, booktitle = {Advances in Production Management Systems. Sustainable Production and Service Supply Chains}, volume = {414}, pages = {249-256}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, series = {IFIP}, abstract = {Demands for lower CO2 emissions due to the climate change and the rising of energy prices force manufacturing companies to deal with the energy issue. Energy management, where one of the tasks is energy efficiency evaluation, can help the companies to overcome the issue. This paper presents holistic metric to evaluate the energy efficiency in manufacturing companies, which considers the different organization level of production, such as machine or equipment level, production line level, and factory level. As the size of the scope and the number of observed factors vary, the metric provide flexible criteria to select relevant variables. The developed metric could be used to simulate and to compare energy efficiency of different production facilities, lines, and factories in a single company. The metric is an instrument to recognize how energy (in) efficient is a production system, so that adjustments may be made in the planning and management to achieve the energy savings.}, keywords = {energy efficiency, energy performance indicator, manufacturing}, pubstate = {published}, tppubtype = {inproceedings} } Demands for lower CO2 emissions due to the climate change and the rising of energy prices force manufacturing companies to deal with the energy issue. Energy management, where one of the tasks is energy efficiency evaluation, can help the companies to overcome the issue. This paper presents holistic metric to evaluate the energy efficiency in manufacturing companies, which considers the different organization level of production, such as machine or equipment level, production line level, and factory level. As the size of the scope and the number of observed factors vary, the metric provide flexible criteria to select relevant variables. The developed metric could be used to simulate and to compare energy efficiency of different production facilities, lines, and factories in a single company. The metric is an instrument to recognize how energy (in) efficient is a production system, so that adjustments may be made in the planning and management to achieve the energy savings. |
Rogalski, Sven; Wicaksono, Hendro; Krahtov, Konstantin Resource-Efficient Production Planning through Flexibility Measurements in Value Creation Systems Inproceedings Prabhu, Vittal; Taisch, Marco; Kiritsis, Dimitris (Ed.): Advances in Production Management Systems. Sustainable Production and Service Supply Chains, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, ISBN: 978-3-642-41266-0. Abstract | Links | BibTeX | Tags: flexibility measurement, manufacturing, production planning and control, resource efficiency @inproceedings{Rogalski2013, title = {Resource-Efficient Production Planning through Flexibility Measurements in Value Creation Systems}, author = {Sven Rogalski and Hendro Wicaksono and Konstantin Krahtov}, editor = {Vittal Prabhu and Marco Taisch and Dimitris Kiritsis}, url = {https://link.springer.com/chapter/10.1007/978-3-642-41266-0_15}, doi = {10.1007/978-3-642-41266-0_15}, isbn = {978-3-642-41266-0}, year = {2013}, date = {2013-09-12}, booktitle = {Advances in Production Management Systems. Sustainable Production and Service Supply Chains}, volume = {414}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, abstract = {For years, manufacturing companies have faced an increasingly complex and rapidly changing market environment which is the result of, if nothing else, higher customer individualization. This particularly concerns SME's, whose competitiveness is increasingly dependent on the early identification of new customer and market requirements and their ability to dynamically respond to these in an adequate fashion. In order to meet the high standards demanded of the planning quality and planning safety with ever increasing complexity and the continuous reduction of the planning time available, SME-compatible IT technologies are needed for the simulation of complex manufacturing relations. The following article addresses this problem and in-troduces the method set ecoFLEX, which enables the simulation of targeted and dynamic alignment of existing plant structures, resources and value-added processes with new production requirements. Unlike digital factory planning tools, a complete picture of the specific plant situation is not required, as will be illustrated by selected case studies from the medium sized production sector.}, keywords = {flexibility measurement, manufacturing, production planning and control, resource efficiency}, pubstate = {published}, tppubtype = {inproceedings} } For years, manufacturing companies have faced an increasingly complex and rapidly changing market environment which is the result of, if nothing else, higher customer individualization. This particularly concerns SME's, whose competitiveness is increasingly dependent on the early identification of new customer and market requirements and their ability to dynamically respond to these in an adequate fashion. In order to meet the high standards demanded of the planning quality and planning safety with ever increasing complexity and the continuous reduction of the planning time available, SME-compatible IT technologies are needed for the simulation of complex manufacturing relations. The following article addresses this problem and in-troduces the method set ecoFLEX, which enables the simulation of targeted and dynamic alignment of existing plant structures, resources and value-added processes with new production requirements. Unlike digital factory planning tools, a complete picture of the specific plant situation is not required, as will be illustrated by selected case studies from the medium sized production sector. |
Häfner, Polina; Häfner, Victor; Wicaksono, Hendro; Ovtcharova, Jivka Semi-automated ontology population from building construction drawings Inproceedings 5th International Conference on Knowledge Engineering and Ontology Development, KEOD 2013; Vilamoura, Algarve; Portugal; 19 September 2013 - 22 September 2013, pp. 379-386, INSTICC, Lissabon, Lissabon, 2013, ISBN: 978-989856581-5. Abstract | Links | BibTeX | Tags: Ontology, ontology population, pattern recognition @inproceedings{Häfner2013, title = {Semi-automated ontology population from building construction drawings}, author = {Polina Häfner and Victor Häfner and Hendro Wicaksono and Jivka Ovtcharova}, url = {https://publikationen.bibliothek.kit.edu/1000040883}, isbn = {978-989856581-5}, year = {2013}, date = {2013-09-06}, booktitle = {5th International Conference on Knowledge Engineering and Ontology Development, KEOD 2013; Vilamoura, Algarve; Portugal; 19 September 2013 - 22 September 2013}, pages = {379-386}, publisher = {INSTICC, Lissabon}, address = {Lissabon}, abstract = {Ontologies have been applied as knowledge representation in different domains including intelligent building management. One of the challenges in using ontologies is the population with building specific information, such as the building elements and the energy consuming devices.The population usually has to be done manually, thus it requires an extensive work. This is due to the lack of semantic information in the existing building drawings. The building drawings only contain geometrical information. However, it is possible that we understand the semantics of the drawings, if we have the knowledge in interpreting the semantics of the symbols, shapes and other geometric information. In this paper we introduce a tool to extract the semantic information from CAD drawings and populate the ontology using the extracted semantic information in a semi-automatic way. We extract the drawing primitives from CAD files, perform the pattern matching and classification algorithms to extract the semantic information and enrich them with geometric data like object world positions and bounding boxes. The resulting semantic information is then mapped to the corresponding ontology classes of a T-Box ontology. Finally individuals of the corresponding classes are created to populate the ontology.}, keywords = {Ontology, ontology population, pattern recognition}, pubstate = {published}, tppubtype = {inproceedings} } Ontologies have been applied as knowledge representation in different domains including intelligent building management. One of the challenges in using ontologies is the population with building specific information, such as the building elements and the energy consuming devices.The population usually has to be done manually, thus it requires an extensive work. This is due to the lack of semantic information in the existing building drawings. The building drawings only contain geometrical information. However, it is possible that we understand the semantics of the drawings, if we have the knowledge in interpreting the semantics of the symbols, shapes and other geometric information. In this paper we introduce a tool to extract the semantic information from CAD drawings and populate the ontology using the extracted semantic information in a semi-automatic way. We extract the drawing primitives from CAD files, perform the pattern matching and classification algorithms to extract the semantic information and enrich them with geometric data like object world positions and bounding boxes. The resulting semantic information is then mapped to the corresponding ontology classes of a T-Box ontology. Finally individuals of the corresponding classes are created to populate the ontology. |
Wicaksono, Hendro; Prohl, Enrst Victor; Ovtcharova, Jivka Hyper heuristc based production process scheduling to improve productivity in sustainable manufacturing Inproceedings Proceeding the 22nd International Conference on Production Research, Brazil, 28 July – 1 August, 2013, 2013. Abstract | BibTeX | Tags: energy efficiency, hyper heuristics, manufacturing, production scheduling @inproceedings{Wicaksono2013d, title = {Hyper heuristc based production process scheduling to improve productivity in sustainable manufacturing}, author = {Hendro Wicaksono and Enrst Victor Prohl and Jivka Ovtcharova}, year = {2013}, date = {2013-08-01}, booktitle = {Proceeding the 22nd International Conference on Production Research, Brazil, 28 July – 1 August, 2013}, abstract = {In recent years, increased customer-demand in individualized and timely products has changed the playing field for manufacturing industries. The production process is perpetually gaining complexity whereas its life-cycle is shortening. Additionally, a growing ecological conscience enforces the consideration of energy effi-ciency. Intelligent production process scheduling is a core instrument to increase efficiency of the value-added chain whilst acknowledging existing constraints. This paper introduces a hyper-heuristic based framework for production scheduling that incorporates economic and ecological aspects. In contrast to meta heuristics that aim for easily reusable solution-methods to NP-Hard scheduling problems, hyper-heuristics try to automate the search for the best solution methods. Thus a hyper-heuristic does not seek for the best solution, but for a heuristic that solves the problem best. Other than conventional scheduling described in lit-erature, the proposed approach in this paper copes with many aspects (constraints and objectives) at once, such as retooling activities, energy efficiency, energy peak load avoidance, product lot size, operation multi-plicity, and shift work. Furthermore, this paper will introduce the incorporation possibilities of prior knowledge coming from both human and machine learning (data mining) into the hyper-heuristic framework. }, keywords = {energy efficiency, hyper heuristics, manufacturing, production scheduling}, pubstate = {published}, tppubtype = {inproceedings} } In recent years, increased customer-demand in individualized and timely products has changed the playing field for manufacturing industries. The production process is perpetually gaining complexity whereas its life-cycle is shortening. Additionally, a growing ecological conscience enforces the consideration of energy effi-ciency. Intelligent production process scheduling is a core instrument to increase efficiency of the value-added chain whilst acknowledging existing constraints. This paper introduces a hyper-heuristic based framework for production scheduling that incorporates economic and ecological aspects. In contrast to meta heuristics that aim for easily reusable solution-methods to NP-Hard scheduling problems, hyper-heuristics try to automate the search for the best solution methods. Thus a hyper-heuristic does not seek for the best solution, but for a heuristic that solves the problem best. Other than conventional scheduling described in lit-erature, the proposed approach in this paper copes with many aspects (constraints and objectives) at once, such as retooling activities, energy efficiency, energy peak load avoidance, product lot size, operation multi-plicity, and shift work. Furthermore, this paper will introduce the incorporation possibilities of prior knowledge coming from both human and machine learning (data mining) into the hyper-heuristic framework. |
Rogalski, Sven; Siebel, Jan; Wicaksono, Hendro Resource efficient planning and operation of production system using IT-supported flexibility management Inproceedings Proceeding the 22nd International Conference on Production Research, Brazil, 28 July – 1 August, 2013, 2013. Abstract | BibTeX | Tags: manufacturing, manufacturing flexibility, production planning and control, resource efficiency, resource efficient manufacturing, SME oriented technology @inproceedings{Rogalski2013b, title = {Resource efficient planning and operation of production system using IT-supported flexibility management}, author = {Sven Rogalski and Jan Siebel and Hendro Wicaksono}, year = {2013}, date = {2013-08-01}, booktitle = {Proceeding the 22nd International Conference on Production Research, Brazil, 28 July – 1 August, 2013}, abstract = {For years, manufacturing companies have faced an increasingly complex and rapidly changing market environment which is the result of, if nothing else, higher customer individualization. This particularly concerns SME’s, whose competitiveness is increasingly dependent on the early identification of new customer and market requirements and their ability to dynamically respond to these in an adequate fashion. In order to meet the high standards demanded of the planning quality and planning safety with ever increasing complexity and the continuous reduction of the planning time available, SME-compatible IT technologies are needed for the simulation of complex manufacturing relations. The following article addresses this problem and introduces the method set ecoFLEX, which enables the simulation of targeted and dynamic alignment of existing plant structures, resources and value-added processes with new production requirements. Unlike digital factory planning tools, a complete picture of the specific plant situation is not required, as will be illustrated by selected case studies from the medium sized production sector.}, keywords = {manufacturing, manufacturing flexibility, production planning and control, resource efficiency, resource efficient manufacturing, SME oriented technology}, pubstate = {published}, tppubtype = {inproceedings} } For years, manufacturing companies have faced an increasingly complex and rapidly changing market environment which is the result of, if nothing else, higher customer individualization. This particularly concerns SME’s, whose competitiveness is increasingly dependent on the early identification of new customer and market requirements and their ability to dynamically respond to these in an adequate fashion. In order to meet the high standards demanded of the planning quality and planning safety with ever increasing complexity and the continuous reduction of the planning time available, SME-compatible IT technologies are needed for the simulation of complex manufacturing relations. The following article addresses this problem and introduces the method set ecoFLEX, which enables the simulation of targeted and dynamic alignment of existing plant structures, resources and value-added processes with new production requirements. Unlike digital factory planning tools, a complete picture of the specific plant situation is not required, as will be illustrated by selected case studies from the medium sized production sector. |
Wicaksono, Hendro; Dobreva, Preslava Intelligent knowledge generation for energy management in buildings Inproceedings Breh, Wolfgang (Ed.): Impulse für die Zukunft der Energie : Wissenschaftliche Beiträge des KIT zur 2. Jahrestagung des KIT-Zentrums Energie. Doktorandensymposium, 13.06.2013, pp. 73-78, Zentrum Energie (Karlsruhe) KIT Scientific Publishing, Karlsruhe, 2013, ISBN: 978-3-7315-0097-1. Abstract | Links | BibTeX | Tags: building energy management, energy efficiency, energy performance indicator, knowledge management, Ontology, ontology engineering, ontology population @inproceedings{Wicaksono2013e, title = {Intelligent knowledge generation for energy management in buildings }, author = {Hendro Wicaksono and Preslava Dobreva}, editor = {Wolfgang Breh}, url = {https://publikationen.bibliothek.kit.edu/1000036425/2888062}, doi = {10.5445/KSP/1000036425}, isbn = {978-3-7315-0097-1}, year = {2013}, date = {2013-06-13}, booktitle = {Impulse für die Zukunft der Energie : Wissenschaftliche Beiträge des KIT zur 2. Jahrestagung des KIT-Zentrums Energie. Doktorandensymposium, 13.06.2013}, pages = {73-78}, publisher = {KIT Scientific Publishing}, address = {Karlsruhe}, organization = {Zentrum Energie (Karlsruhe)}, abstract = {Energy consumption in buildings is currently representing a significant percentage of the whole energy consumption on earth. The EU responds to this trend by dedicated policy making and financially supporting research activities in the field of efficiency improvement without decreasing inhabitants comfort. This paper describes a method for intelligent energy management in public buildings, going behind classical data-driven approaches commonly used by BMS solutions. An ontology based approach for energy analysis offering extended concept for automated population, self-learning mechanisms and integration to other systems. Furthermore we demonstrate how the energy performance analysis is improved using the ontology based approach. }, keywords = {building energy management, energy efficiency, energy performance indicator, knowledge management, Ontology, ontology engineering, ontology population}, pubstate = {published}, tppubtype = {inproceedings} } Energy consumption in buildings is currently representing a significant percentage of the whole energy consumption on earth. The EU responds to this trend by dedicated policy making and financially supporting research activities in the field of efficiency improvement without decreasing inhabitants comfort. This paper describes a method for intelligent energy management in public buildings, going behind classical data-driven approaches commonly used by BMS solutions. An ontology based approach for energy analysis offering extended concept for automated population, self-learning mechanisms and integration to other systems. Furthermore we demonstrate how the energy performance analysis is improved using the ontology based approach. |
Wicaksono, Hendro An Integrated Method for ICT Supported Energy Efficiency Improvement in Manufacturing Inproceedings Breh, Wolfgang (Ed.): Impulse für die Zukunft der Energie : Wissenschaftliche Beiträge des KIT zur 2. Jahrestagung des KIT-Zentrums Energie. Doktorandensymposium, 13.06.2013, pp. 67-72, Zentrum Energie (Karlsruhe) KIT Scientific Publishing, Karlsruhe, 2013, ISBN: 978-3-7315-0097-1. Abstract | Links | BibTeX | Tags: energy efficiency, energy management, energy performance indicator, knowledge based energy management, knowledge management, Ontology @inproceedings{Wicaksono2013f, title = {An Integrated Method for ICT Supported Energy Efficiency Improvement in Manufacturing }, author = {Hendro Wicaksono}, editor = {Wolfgang Breh}, url = {http://digbib.ubka.uni-karlsruhe.de/volltexte/1000036425}, doi = {10.5445/KSP/1000036425}, isbn = {978-3-7315-0097-1}, year = {2013}, date = {2013-06-13}, booktitle = {Impulse für die Zukunft der Energie : Wissenschaftliche Beiträge des KIT zur 2. Jahrestagung des KIT-Zentrums Energie. Doktorandensymposium, 13.06.2013}, pages = {67-72}, publisher = {KIT Scientific Publishing}, address = {Karlsruhe}, organization = {Zentrum Energie (Karlsruhe)}, abstract = {Energy and resource efficiency have been developing into one of the most crucial issues of the 21st century. Manufacturers are demanded to improve their energy efficiency by regulating their energy consumption. Energy management system helps the manufacturers to improve their energy efficiency. Most of the manufacturing companies face problems in implementing the energy management standards mostly due to the lack of ICT support, especially to help to evaluate the current energy performance. This paper presents an ICT based holistic approach to help manufacturing companies in the implementation of energy management system. The approach uses an ontological knowledge base containing the structures and rules representing best practices as reference of energy efficiency to support the qualitative evaluation. In the approach, we also develop measurement figures called Energy Performance Indicators (EPI) to determine the energy efficiency degrees in different resource units and organizational parts of the company. The knowledge management approach and EPI support quantitative and qualitative energy efficiency evaluation of manufacturing operations. Furthermore this paper introduces the method to improve the energy efficiency in production process planning.}, keywords = {energy efficiency, energy management, energy performance indicator, knowledge based energy management, knowledge management, Ontology}, pubstate = {published}, tppubtype = {inproceedings} } Energy and resource efficiency have been developing into one of the most crucial issues of the 21st century. Manufacturers are demanded to improve their energy efficiency by regulating their energy consumption. Energy management system helps the manufacturers to improve their energy efficiency. Most of the manufacturing companies face problems in implementing the energy management standards mostly due to the lack of ICT support, especially to help to evaluate the current energy performance. This paper presents an ICT based holistic approach to help manufacturing companies in the implementation of energy management system. The approach uses an ontological knowledge base containing the structures and rules representing best practices as reference of energy efficiency to support the qualitative evaluation. In the approach, we also develop measurement figures called Energy Performance Indicators (EPI) to determine the energy efficiency degrees in different resource units and organizational parts of the company. The knowledge management approach and EPI support quantitative and qualitative energy efficiency evaluation of manufacturing operations. Furthermore this paper introduces the method to improve the energy efficiency in production process planning. |
Wicaksono, Hendro; Nusiaputra, Yodha; Rogalski, Sven; Budiarto, Rachmawan; Krahtov, Konstantin; Pamma, Adam; Suharto, Toto; Ovtcharova, Jivka Peningkatan Ketahanan Energi Nasional Melalui Platform Kerjasama Industri-Akademisi-Pemerintah Antara Jerman dan Indonesia Inproceedings Pertemuan Presiden RI dengan Indonesia di Jerman, Kedutaan Besar Republik Indonesia Berlin 2013. Abstract | BibTeX | Tags: energy efficiency, energy management, energy security, innovation network, renewable energy @inproceedings{Wicaksono2013g, title = {Peningkatan Ketahanan Energi Nasional Melalui Platform Kerjasama Industri-Akademisi-Pemerintah Antara Jerman dan Indonesia}, author = {Hendro Wicaksono and Yodha Nusiaputra and Sven Rogalski and Rachmawan Budiarto and Konstantin Krahtov and Adam Pamma and Toto Suharto and Jivka Ovtcharova }, year = {2013}, date = {2013-03-05}, booktitle = {Pertemuan Presiden RI dengan Indonesia di Jerman}, organization = {Kedutaan Besar Republik Indonesia Berlin}, abstract = {Peningkatan ketahanan energi adalah salah satu visi utama kedua negara, Jerman dan Indonesia, dalam rangka menjawab tantangan dalam negeri masing-masing serta menunaikan tanggung jawab untuk memberi kontribusi positif pada isu-isu global seperti lingkungan hidup. Hal ini dituangkan dalam deklarasi Jakarta yang ditandatangani oleh Presiden SBY dan Kanselir Angela Merkel dalam rangka peringatan 60 tahun kerjasama Indonesia-Jerman. Ketahanan energi di Jerman melibatkan peran aktif dan sinergi antara penyedia energi, lembaga penelitian dan pendidikan, industri terkait terutama UMKM, serta pemerintah. Sinergi seperti ini yang sekarang jarang dijumpai di Indonesia. Paper ini ditulis oleh para profesional dan akademisi dari Jerman dan Indonesia dan membahas konsep platform kerjasama Jerman-Indonesia dalam bidang ketahanan energi yang dinamakan PROIndo, yang telah diinisiasi sejak tahun 2010. Tujuan platform ini adalah meningkatkan inovasi teknologi dan bisnis kedua negara dalam bidang ketahanan energi dengan melibatkan kalangan industri, akademisi, dan pemerintah. Paper ini juga menyampaikan langkah-langkah yang ditempuh dalam mewujudkan kerjasama tersebut dalam bentuk workshop dan pertukaran personil. Selain itu dalam paper ini juga dijelaskan proyek-proyek kerjasama yang sedang dan akan berjalan, yaitu di bidang manajemen energi dan pengembangan teknologi energi terbarukan. Paper ini ditutup dengan rekomendasi kepada pemerintah Indonesia untuk meningkatkan ketahanan energi nasional Indonesia melalui platform kerjasama PROIndo.}, keywords = {energy efficiency, energy management, energy security, innovation network, renewable energy}, pubstate = {published}, tppubtype = {inproceedings} } Peningkatan ketahanan energi adalah salah satu visi utama kedua negara, Jerman dan Indonesia, dalam rangka menjawab tantangan dalam negeri masing-masing serta menunaikan tanggung jawab untuk memberi kontribusi positif pada isu-isu global seperti lingkungan hidup. Hal ini dituangkan dalam deklarasi Jakarta yang ditandatangani oleh Presiden SBY dan Kanselir Angela Merkel dalam rangka peringatan 60 tahun kerjasama Indonesia-Jerman. Ketahanan energi di Jerman melibatkan peran aktif dan sinergi antara penyedia energi, lembaga penelitian dan pendidikan, industri terkait terutama UMKM, serta pemerintah. Sinergi seperti ini yang sekarang jarang dijumpai di Indonesia. Paper ini ditulis oleh para profesional dan akademisi dari Jerman dan Indonesia dan membahas konsep platform kerjasama Jerman-Indonesia dalam bidang ketahanan energi yang dinamakan PROIndo, yang telah diinisiasi sejak tahun 2010. Tujuan platform ini adalah meningkatkan inovasi teknologi dan bisnis kedua negara dalam bidang ketahanan energi dengan melibatkan kalangan industri, akademisi, dan pemerintah. Paper ini juga menyampaikan langkah-langkah yang ditempuh dalam mewujudkan kerjasama tersebut dalam bentuk workshop dan pertukaran personil. Selain itu dalam paper ini juga dijelaskan proyek-proyek kerjasama yang sedang dan akan berjalan, yaitu di bidang manajemen energi dan pengembangan teknologi energi terbarukan. Paper ini ditutup dengan rekomendasi kepada pemerintah Indonesia untuk meningkatkan ketahanan energi nasional Indonesia melalui platform kerjasama PROIndo. |
2012 |
Wicaksono, Hendro; Ovtcharova, Jivka Energy Consumption Regulation and Optimization in Discrete Manufacturing through Semi-automatic Knowledge Generation using Data Mining Inproceedings Proceeding 10th Global Conference of Sustainable Manufacturing (GCSM), 2012. Abstract | BibTeX | Tags: data mining, discrete manufacturing, energy efficiency, knowledge capturing, knowledge management, machine learning @inproceedings{Wicaksono2012b, title = {Energy Consumption Regulation and Optimization in Discrete Manufacturing through Semi-automatic Knowledge Generation using Data Mining}, author = {Hendro Wicaksono and Jivka Ovtcharova }, year = {2012}, date = {2012-11-02}, booktitle = {Proceeding 10th Global Conference of Sustainable Manufacturing (GCSM)}, abstract = {The rapid growth of industrialization has led to a significant increase of energy demand that results in a constantly increasing of energy prices. Meanwhile, the changes of social, technical, and economic conditions in the market have challenged manufacturers to deal with the requirements for various and complex products. This has made production processes more sophisticated and energy intensive thus it leads to expensive production costs. This paper discusses a knowledge based approach to regulate the energy consumption in processing the customer orders in discrete manufacturing. The knowledge base consists of a rule set, which determines the choices of machines to process the products based on the given characteristics. Generally, the construction of such a knowledge base is a time-consuming task. This paper presents a semi-automatic rule generation using data mining. It extracts the energy consumption pattern based on relation of different parameter, such as product properties, machine profile, production processes, and surrounding variables.}, keywords = {data mining, discrete manufacturing, energy efficiency, knowledge capturing, knowledge management, machine learning}, pubstate = {published}, tppubtype = {inproceedings} } The rapid growth of industrialization has led to a significant increase of energy demand that results in a constantly increasing of energy prices. Meanwhile, the changes of social, technical, and economic conditions in the market have challenged manufacturers to deal with the requirements for various and complex products. This has made production processes more sophisticated and energy intensive thus it leads to expensive production costs. This paper discusses a knowledge based approach to regulate the energy consumption in processing the customer orders in discrete manufacturing. The knowledge base consists of a rule set, which determines the choices of machines to process the products based on the given characteristics. Generally, the construction of such a knowledge base is a time-consuming task. This paper presents a semi-automatic rule generation using data mining. It extracts the energy consumption pattern based on relation of different parameter, such as product properties, machine profile, production processes, and surrounding variables. |