2016 |
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. |
Rogalski, Sven; Siebel, Jan; Aleksandrov, Kiril; Wicaksono, Hendro Sustainable Production Planning Through Flexibility Measurements In Different Manufacturing Organizational Levels Inproceedings Proceeding 10th Global Conference of Sustainable Manufacturing (GCSM), 2012. Abstract | BibTeX | Tags: change management, digital factory, flexibility measurement, manufacturing, resource efficient manufacturing @inproceedings{Rogalski2012, title = {Sustainable Production Planning Through Flexibility Measurements In Different Manufacturing Organizational Levels}, author = {Sven Rogalski and Jan Siebel and Kiril Aleksandrov and Hendro Wicaksono}, year = {2012}, date = {2012-11-02}, booktitle = {Proceeding 10th Global Conference of Sustainable Manufacturing (GCSM)}, abstract = {Production companies operate in increasingly turbulent and discontinuous environments. The rapid speed of change, coupled with a high complexity of cause-effect relationships of industries, globally-dispersed markets, technologies and economic areas create great challenges to the manufacturing systems. Therefore, a more holistic view of technical and organizational freedom is needed in production to support sustainable planning, control and modification of manufacturing systems, which incorporate system and life cycle aspects to the goal of profitability. Hence, reliable statements about flexibility on different organisational levels in a manufacturing system have a considerable role to ensure resource efficiency. The following paper details the concept for calculating the production flexibility and the application experience in industrial production from the flexibility assessment toolbox ecoFLEX. It enables the simulation of targeted and dynamic alignment of existing plant structures and value-added processes with external environmental and internal changes. 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 assembling and stamping production enterprises. }, keywords = {change management, digital factory, flexibility measurement, manufacturing, resource efficient manufacturing}, pubstate = {published}, tppubtype = {inproceedings} } Production companies operate in increasingly turbulent and discontinuous environments. The rapid speed of change, coupled with a high complexity of cause-effect relationships of industries, globally-dispersed markets, technologies and economic areas create great challenges to the manufacturing systems. Therefore, a more holistic view of technical and organizational freedom is needed in production to support sustainable planning, control and modification of manufacturing systems, which incorporate system and life cycle aspects to the goal of profitability. Hence, reliable statements about flexibility on different organisational levels in a manufacturing system have a considerable role to ensure resource efficiency. The following paper details the concept for calculating the production flexibility and the application experience in industrial production from the flexibility assessment toolbox ecoFLEX. It enables the simulation of targeted and dynamic alignment of existing plant structures and value-added processes with external environmental and internal changes. 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 assembling and stamping production enterprises. |
Wicaksono, Hendro; Rogalski, Sven; Ovtcharova, Jivka Ontology Driven Approach for Intelligent Energy Management in Discrete Manufacturing Inproceedings Proceedings of the International Conference on Knowledge Engineering and Ontology Development, pp. 108-114, INSTICC SciTePress, 2012, ISBN: 978-989-8565-30-3. Abstract | Links | BibTeX | Tags: energy efficiency, energy management, knowledge acquisition, knowledge capturing, machine learning, manufacturing, Ontology @inproceedings{Wicaksono2012c, title = {Ontology Driven Approach for Intelligent Energy Management in Discrete Manufacturing}, author = {Hendro Wicaksono and Sven Rogalski and Jivka Ovtcharova}, url = {http://www.scitepress.org/PublicationsDetail.aspx?ID=VdNAwL50fGw=&t=1}, doi = {10.5220/0004141601080114}, isbn = {978-989-8565-30-3}, year = {2012}, date = {2012-10-07}, booktitle = {Proceedings of the International Conference on Knowledge Engineering and Ontology Development}, volume = {1}, pages = {108-114}, publisher = {SciTePress}, organization = {INSTICC}, abstract = {In recent years ontologies have been used for knowledge representation in different domains, such as energy management and manufacturing. Researchers have developed approaches in applying ontologies for intelligent energy management in households. 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. Energy management in a manufacturing company involves different organizational entities and technical processes. This paper proposes an approach to applying ontology for intelligent energy management in discrete manufacturing companies. The ontology provides a formal knowledge representation that is accessible by different human stakeholders as well as machines in the company. This paper also demonstrates the methods used to construct and to process the ontology.}, keywords = {energy efficiency, energy management, knowledge acquisition, knowledge capturing, machine learning, manufacturing, Ontology}, pubstate = {published}, tppubtype = {inproceedings} } In recent years ontologies have been used for knowledge representation in different domains, such as energy management and manufacturing. Researchers have developed approaches in applying ontologies for intelligent energy management in households. 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. Energy management in a manufacturing company involves different organizational entities and technical processes. This paper proposes an approach to applying ontology for intelligent energy management in discrete manufacturing companies. The ontology provides a formal knowledge representation that is accessible by different human stakeholders as well as machines in the company. This paper also demonstrates the methods used to construct and to process the ontology. |
Rogalski, Sven; Wicaksono, Hendro; Ovtcharova, Jivka Resource-Efficient Planning in Production through Flexibility Measurements Inproceedings Proceeding 10th International Conference on Manufacturing Research (ICMR 2012), 2012. BibTeX | Tags: discrete manufacturing, flexibility measurement, manufacturing flexibility @inproceedings{Rogalski2012b, title = {Resource-Efficient Planning in Production through Flexibility Measurements}, author = {Sven Rogalski and Hendro Wicaksono and Jivka Ovtcharova}, year = {2012}, date = {2012-09-13}, booktitle = {Proceeding 10th International Conference on Manufacturing Research (ICMR 2012)}, keywords = {discrete manufacturing, flexibility measurement, manufacturing flexibility}, pubstate = {published}, tppubtype = {inproceedings} } |
Wicaksono, Hendro; Rogalski, Sven; Ovtcharova, Jivka Knowledge Management Approach to improve Energy Efficiency in Small Medium Enterprises Journal Article 2012. Abstract | BibTeX | Tags: data mining, energy efficiency, energy management, knowledge management, machine learning, Ontology @article{Wicaksono2012d, title = {Knowledge Management Approach to improve Energy Efficiency in Small Medium Enterprises}, author = {Hendro Wicaksono and Sven Rogalski and Jivka Ovtcharova}, year = {2012}, date = {2012-09-13}, abstract = {Energy efficiency in accordance with the economization of production costs is an important com-petitive factor in the energy-intensive industry. Energy management is a way to achieve this, but most of the manufacturing companies face problems in implementing it due to the lack of standard-izations in their operation portfolio. Energy related information are managed separately and in an unstructured manner. Managements have low visibility to the usage of energy in the operation due to the knowledge gap between managers and operators. Operators are often not aware whether their activities and decisions create excessive energy usage because of the different knowledge among them. This paper introduces a novel method based on knowledge management approach to address the problem using an ontology knowledge base and semi-automatic knowledge acquisition using data mining technique. In this paper the application of the approach in a small medium sized stain-less steel manufacturer will be presented. }, keywords = {data mining, energy efficiency, energy management, knowledge management, machine learning, Ontology}, pubstate = {published}, tppubtype = {article} } Energy efficiency in accordance with the economization of production costs is an important com-petitive factor in the energy-intensive industry. Energy management is a way to achieve this, but most of the manufacturing companies face problems in implementing it due to the lack of standard-izations in their operation portfolio. Energy related information are managed separately and in an unstructured manner. Managements have low visibility to the usage of energy in the operation due to the knowledge gap between managers and operators. Operators are often not aware whether their activities and decisions create excessive energy usage because of the different knowledge among them. This paper introduces a novel method based on knowledge management approach to address the problem using an ontology knowledge base and semi-automatic knowledge acquisition using data mining technique. In this paper the application of the approach in a small medium sized stain-less steel manufacturer will be presented. |
Rogalski, Sven; Wicaksono, Hendro Handling resource efficiency in production of small and medium sized enterprises Inproceedings 2012 18th International ICE Conference on Engineering, Technology and Innovation, pp. 1-9, IEEE, Munich, Germany, 2012. Abstract | Links | BibTeX | Tags: change management, flexibility measurement, Genetic algorithm, manufacturing, resource efficiency @inproceedings{Rogalski2012c, title = {Handling resource efficiency in production of small and medium sized enterprises}, author = {Sven Rogalski and Hendro Wicaksono}, url = {http://ieeexplore.ieee.org/document/6297707/}, doi = {10.1109/ICE.2012.6297707}, year = {2012}, date = {2012-09-10}, booktitle = {2012 18th International ICE Conference on Engineering, Technology and Innovation}, pages = {1-9}, publisher = {IEEE}, address = {Munich, Germany}, abstract = {For years, production companies have faced an increasingly complex and rapidly changing market, which results in higher client customization. These coupled with a high complexity of cause-effect relationships of industries, globally-dispersed markets, technologies and economic areas create great challenges to the manufacturing systems. Uncertain projections about future sales, fluctuations in quantities, new manufacturing technologies and shorter product life cycles with changing product requirements, at the same time with an increasing range of variants requires a continuous transformation of production structures to the current requirements on the market. As a consequence, methods for evaluating a company's production flexibility are of great significance. The following article discusses the experience gained in research results in medium-sized production. The use of the IT-framework “WertProNET” that emerged from these results shows the impact that production changes have on economical plant operation, and how unnecessary additional costs from the inefficient use of resources can be avoided.}, keywords = {change management, flexibility measurement, Genetic algorithm, manufacturing, resource efficiency}, pubstate = {published}, tppubtype = {inproceedings} } For years, production companies have faced an increasingly complex and rapidly changing market, which results in higher client customization. These coupled with a high complexity of cause-effect relationships of industries, globally-dispersed markets, technologies and economic areas create great challenges to the manufacturing systems. Uncertain projections about future sales, fluctuations in quantities, new manufacturing technologies and shorter product life cycles with changing product requirements, at the same time with an increasing range of variants requires a continuous transformation of production structures to the current requirements on the market. As a consequence, methods for evaluating a company's production flexibility are of great significance. The following article discusses the experience gained in research results in medium-sized production. The use of the IT-framework “WertProNET” that emerged from these results shows the impact that production changes have on economical plant operation, and how unnecessary additional costs from the inefficient use of resources can be avoided. |
Wicaksono, Hendro; Aleksandrov, Kiril; Rogalski, Sven An Intelligent System for Improving Energy Efficiency in Building Using Ontology and Building Automation Systems Book Chapter Kongoli, Florian (Ed.): IntechOpen, 2012, ISBN: 978-953-51-0685-2. Links | BibTeX | Tags: building energy management, data mining, energy efficiency, machine learning, Ontology @inbook{Wicaksono2012, title = {An Intelligent System for Improving Energy Efficiency in Building Using Ontology and Building Automation Systems}, author = {Hendro Wicaksono and Kiril Aleksandrov and Sven Rogalski }, editor = {Florian Kongoli}, url = {https://www.intechopen.com/books/automation/an-intelligent-system-for-improving-energy-efficiency-in-building-using-ontology-and-building-automa}, doi = {10.5772/48006}, isbn = {978-953-51-0685-2}, year = {2012}, date = {2012-07-25}, publisher = {IntechOpen}, keywords = {building energy management, data mining, energy efficiency, machine learning, Ontology}, pubstate = {published}, tppubtype = {inbook} } |
Aleksandrov, Kiril; Wicaksono, Hendro; Rogalski, Sven Evaluation of Resource Flexibility in Digital Factory Planning in Small and Medium sized Enterprises Inproceedings FAIM, International Conference on Flexible Automation and Intelligent Manufacturing, pp. 61-70, Curran Associates, Red Hook, 2012, ISBN: 978-952-15-2783-8. Links | BibTeX | Tags: change management, digital factory, layout planning, production planning and control, SME oriented technology @inproceedings{Aleksandrov2012, title = {Evaluation of Resource Flexibility in Digital Factory Planning in Small and Medium sized Enterprises}, author = {Kiril Aleksandrov and Hendro Wicaksono and Sven Rogalski}, url = {https://www.tib.eu/en/search/id/tema%3ATEMA20140307649/Evaluation-of-Resource-Flexibility-in-Digital-Factory/}, isbn = { 978-952-15-2783-8}, year = {2012}, date = {2012-06-13}, booktitle = {FAIM, International Conference on Flexible Automation and Intelligent Manufacturing}, pages = {61-70}, publisher = {Curran Associates}, address = { Red Hook}, keywords = {change management, digital factory, layout planning, production planning and control, SME oriented technology}, pubstate = {published}, tppubtype = {inproceedings} } |
2011 |
Schubert, Viktor; Aleksandrov, Kiril; Wicaksono, Hendro Von der Anforderung zum Design-Element - Modellierung der Produktstruktur mit dem Business Editor Book Chapter Franke, H J (Ed.): pp. 74-82, Shaker, Aachen, 2011. Links | BibTeX | Tags: Ontology, product configuration, product lifecycle management, requirement engineering @inbook{Schubert2011, title = {Von der Anforderung zum Design-Element - Modellierung der Produktstruktur mit dem Business Editor}, author = {Viktor Schubert and Kiril Aleksandrov and Hendro Wicaksono}, editor = {H. J. Franke}, url = {https://www.amazon.de/Anforderungsmanagement-kundenindividuelle-Produkte-L%C3%B6sungsans%C3%A4tze-Praxisorientierte/dp/384400517X}, doi = {978-3-8440-0517-2}, year = {2011}, date = {2011-11-01}, pages = {74-82}, publisher = {Shaker}, address = {Aachen}, keywords = {Ontology, product configuration, product lifecycle management, requirement engineering}, pubstate = {published}, tppubtype = {inbook} } |
Rogalski, Sven; Wicaksono, Hendro Methodology for Flexibility Measurement in Semi-automatic Production Book Chapter ElMaraghy, Hoda A (Ed.): pp. 141-146, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, ISBN: 978-3-642-23860-4. Abstract | Links | BibTeX | Tags: flexibility measurement, manufacturing, resource efficient manufacturing @inbook{Rogalski2011, title = {Methodology for Flexibility Measurement in Semi-automatic Production}, author = {Sven Rogalski and Hendro Wicaksono}, editor = {Hoda A. ElMaraghy}, url = {https://link.springer.com/chapter/10.1007%2F978-3-642-23860-4_23}, doi = {10.1007/978-3-642-23860-4_23}, isbn = {978-3-642-23860-4}, year = {2011}, date = {2011-09-15}, pages = {141-146}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, abstract = {Demands on production systems are changing constantly as a result of changing competitive conditions and are also closely linked to the performance goals of time, quality, costs and innovation ability. This results in an ever increasing selection between various competitors, with the most important selection criteria being customer individualization, an increasingly shorter product life cycle and new technological innovations. This situation creates an existential need for production companies to manage to adapt over time to the changed surrounding conditions and plan their resources in a way that makes them suitable for cost-effective and market-oriented manufacturing. The following article presents the computerized methodology of an innovative evaluation technique called ecoFLEX which allows the measurement of a production system's flexibility. At first the paper details the general concept for estimating production flexibility and the approach to concretely calculating the flexibility on different production levels. Furthermore, it presents the practical experience gained in ecoFLEX during its application at a small and medium enterprise (SME) to evaluate the complex manufacturing coherencies from the perspective of their efficiency. Especially it will be shown how the usage of flexibility indices calculated by ecoFLEX helps to come to the right decision on the strategic and operational level in production systems.}, keywords = {flexibility measurement, manufacturing, resource efficient manufacturing}, pubstate = {published}, tppubtype = {inbook} } Demands on production systems are changing constantly as a result of changing competitive conditions and are also closely linked to the performance goals of time, quality, costs and innovation ability. This results in an ever increasing selection between various competitors, with the most important selection criteria being customer individualization, an increasingly shorter product life cycle and new technological innovations. This situation creates an existential need for production companies to manage to adapt over time to the changed surrounding conditions and plan their resources in a way that makes them suitable for cost-effective and market-oriented manufacturing. The following article presents the computerized methodology of an innovative evaluation technique called ecoFLEX which allows the measurement of a production system's flexibility. At first the paper details the general concept for estimating production flexibility and the approach to concretely calculating the flexibility on different production levels. Furthermore, it presents the practical experience gained in ecoFLEX during its application at a small and medium enterprise (SME) to evaluate the complex manufacturing coherencies from the perspective of their efficiency. Especially it will be shown how the usage of flexibility indices calculated by ecoFLEX helps to come to the right decision on the strategic and operational level in production systems. |
Wicaksono, Hendro; Schubert, Viktor; Rogalski, Sven; Laydi, Youssef Ait; Ovtcharova, Jivka Ontology-driven Requirements Elicitation in Product Configuration Systems Book Chapter ElMaraghy, Hoda A (Ed.): pp. 63-67, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, ISBN: 978-3-642-23860-4. Abstract | Links | BibTeX | Tags: Ontology, product configuration, requirement engineering @inbook{Wicaksono2011, title = {Ontology-driven Requirements Elicitation in Product Configuration Systems}, author = {Hendro Wicaksono and Viktor Schubert and Sven Rogalski and Youssef Ait Laydi and Jivka Ovtcharova}, editor = {Hoda A. ElMaraghy}, url = {https://link.springer.com/chapter/10.1007/978-3-642-23860-4_10}, doi = {10.1007/978-3-642-23860-4_10}, isbn = {978-3-642-23860-4}, year = {2011}, date = {2011-09-15}, pages = {63-67}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, abstract = {Producing timely and customer-oriented products is a key factor for manufacturers` success in competing in the recent global economic era. Customer needs are becoming more complex as a result of rapid changes in social, technical, and economic conditions. Manufacturers must provide more flexibility and individual customizations of the products. This is not an easy task due to the different perspectives between manufacturer and customer during the pre-contract phase. Product configuration systems are generally used to improve the quotation process. However, it is still difficult to provide customer satisfying products because customers often cannot clearly articulate their requirements. This paper introduces an approach that assists the customer in articulating their requirements and supports the manufacturer to capture the customer needs completely. We propose an intelligent product configuration system that harmonizes both customer and manufacturer perspectives, based on an ontology-based integrated knowledge model. We utilize ontology-based methods and techniques to develop a recommender system in the product configuration system to improve the requirements elicitation and to avoid requirement inconsistencies.}, keywords = {Ontology, product configuration, requirement engineering}, pubstate = {published}, tppubtype = {inbook} } Producing timely and customer-oriented products is a key factor for manufacturers` success in competing in the recent global economic era. Customer needs are becoming more complex as a result of rapid changes in social, technical, and economic conditions. Manufacturers must provide more flexibility and individual customizations of the products. This is not an easy task due to the different perspectives between manufacturer and customer during the pre-contract phase. Product configuration systems are generally used to improve the quotation process. However, it is still difficult to provide customer satisfying products because customers often cannot clearly articulate their requirements. This paper introduces an approach that assists the customer in articulating their requirements and supports the manufacturer to capture the customer needs completely. We propose an intelligent product configuration system that harmonizes both customer and manufacturer perspectives, based on an ontology-based integrated knowledge model. We utilize ontology-based methods and techniques to develop a recommender system in the product configuration system to improve the requirements elicitation and to avoid requirement inconsistencies. |
Schubert, Viktor; Wicaksono, Hendro; Rogalski, Sven A Product Life-Cycle Oriented Approach for Knowledge-Based Product Configuration Systems Book Chapter Bernard, Alain (Ed.): pp. 357-362, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, ISBN: 978-3-642-15973-2. Abstract | Links | BibTeX | Tags: case-based reasoning, product configuration, product lifecycle management, requirement engineering @inbook{Schubert2011b, title = {A Product Life-Cycle Oriented Approach for Knowledge-Based Product Configuration Systems}, author = {Viktor Schubert and Hendro Wicaksono and Sven Rogalski}, editor = {Alain Bernard}, url = {https://link.springer.com/chapter/10.1007/978-3-642-15973-2_35}, doi = {10.1007/978-3-642-15973-2_35}, isbn = {978-3-642-15973-2}, year = {2011}, date = {2011-02-12}, pages = {357-362}, publisher = {Springer Berlin Heidelberg}, address = {Berlin, Heidelberg}, abstract = {Faced with increasing complexity in the global economy, a timely and accurate operation of the market demands an accelerated harmonization of customer and manufacturer perspective in the quotation phase through product configuration systems. An approach for knowledge-based product configuration through the integration of experience and knowledge from the product use phase is presented below. The goal of this approach is to enable a faster and software-controlled harmonization of the different customer's and the manufacturer's points of view during the pre-contract phase. Therefore a case-based reasoning method was developed to be integrated in a rule-based product configuration system. It allows a faster ascertainment of customer needs and thereby provides accurate and complete configuration of the provided products.}, keywords = {case-based reasoning, product configuration, product lifecycle management, requirement engineering}, pubstate = {published}, tppubtype = {inbook} } Faced with increasing complexity in the global economy, a timely and accurate operation of the market demands an accelerated harmonization of customer and manufacturer perspective in the quotation phase through product configuration systems. An approach for knowledge-based product configuration through the integration of experience and knowledge from the product use phase is presented below. The goal of this approach is to enable a faster and software-controlled harmonization of the different customer's and the manufacturer's points of view during the pre-contract phase. Therefore a case-based reasoning method was developed to be integrated in a rule-based product configuration system. It allows a faster ascertainment of customer needs and thereby provides accurate and complete configuration of the provided products. |
2010 |
Wicaksono, Hendro; Rogalski, Sven; Kusnady, Enrico Knowledge-based intelligent energy management using building automation system Inproceedings 2010 Conference Proceedings IPEC, IEEE, Singapore, Singapore, 2010, ISSN: 1947-1262. Abstract | Links | BibTeX | Tags: building automation system, data mining, energy management, knowledge-based system, machine learning, Ontology @inproceedings{Wicaksono2010b, title = {Knowledge-based intelligent energy management using building automation system}, author = {Hendro Wicaksono and Sven Rogalski and Enrico Kusnady}, url = {http://ieeexplore.ieee.org/document/5696994/}, doi = {10.1109/IPECON.2010.5696994}, issn = {1947-1262}, year = {2010}, date = {2010-10-29}, booktitle = {2010 Conference Proceedings IPEC}, publisher = {IEEE}, address = {Singapore, Singapore}, abstract = {The rise of energy needs and energy prices due to shortage of energy resources force companies and households to consume energy more efficiently. In recent years building automation systems are commonly used to allow better comfort for the occupants, and also to improve security in the building. This paper describes an approach for improving energy efficiency in private and business buildings by utilizing building automation systems. The goal of the approach is to provide an intelligent system that can help the occupants to monitor and control their energy consumption and also to notice their energy saving potentials. This paper also introduces method of knowledge-driven energy analysis that offers more intelligent mechanism as improvement of classical data-driven analysis, which is commonly used by existing energy analysis solutions.}, keywords = {building automation system, data mining, energy management, knowledge-based system, machine learning, Ontology}, pubstate = {published}, tppubtype = {inproceedings} } The rise of energy needs and energy prices due to shortage of energy resources force companies and households to consume energy more efficiently. In recent years building automation systems are commonly used to allow better comfort for the occupants, and also to improve security in the building. This paper describes an approach for improving energy efficiency in private and business buildings by utilizing building automation systems. The goal of the approach is to provide an intelligent system that can help the occupants to monitor and control their energy consumption and also to notice their energy saving potentials. This paper also introduces method of knowledge-driven energy analysis that offers more intelligent mechanism as improvement of classical data-driven analysis, which is commonly used by existing energy analysis solutions. |
Wicaksono, Hendro; Rogalski, Sven Ontology Supported Intelligent Energy Management System in Buildings Inproceedings Proceeding IEEE International Conference on Industrial Engineering and Business Management (ICIEBM), IEEE 2010. BibTeX | Tags: building automation system, data mining, machine learning, Ontology @inproceedings{Wicaksono2010c, title = {Ontology Supported Intelligent Energy Management System in Buildings}, author = {Hendro Wicaksono and Sven Rogalski}, year = {2010}, date = {2010-10-13}, booktitle = {Proceeding IEEE International Conference on Industrial Engineering and Business Management (ICIEBM)}, organization = {IEEE}, keywords = {building automation system, data mining, machine learning, Ontology}, pubstate = {published}, tppubtype = {inproceedings} } |
Schubert, Viktor; Wicaksono, Hendro; Rogalski, Sven Knowledge-based Product Configuration through Product Life Cycle Oriented Feedback-Driven Requirements Engineering Inproceedings Proceeding 20th International Conference Flexible Automation and Intelligent Manufacturing (FAIM), San Francisco, USA, 2010. BibTeX | Tags: case-based reasoning, data mining, machine learning, Ontology, product configuration, product lifecycle management @inproceedings{Schubert2010, title = {Knowledge-based Product Configuration through Product Life Cycle Oriented Feedback-Driven Requirements Engineering}, author = {Viktor Schubert and Hendro Wicaksono and Sven Rogalski}, year = {2010}, date = {2010-07-14}, booktitle = {Proceeding 20th International Conference Flexible Automation and Intelligent Manufacturing (FAIM), San Francisco, USA}, keywords = {case-based reasoning, data mining, machine learning, Ontology, product configuration, product lifecycle management}, pubstate = {published}, tppubtype = {inproceedings} } |
Wicaksono, Hendro; Rogalski, Sven Wissensbasierte Energieanalyse – Verbesserte Energieeffizienz in Gebäuden des Privat- und Geschäftsbereichs Journal Article ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, 105 (6), pp. 551-555, 2010. Abstract | Links | BibTeX | Tags: data mining, Energy efficient building, knowledge management, machine learning @article{Wicaksono2010, title = {Wissensbasierte Energieanalyse – Verbesserte Energieeffizienz in Gebäuden des Privat- und Geschäftsbereichs}, author = {Hendro Wicaksono and Sven Rogalski}, url = {http://www.hanser-elibrary.com/doi/10.3139/104.110342}, doi = {10.3139/104.110342}, year = {2010}, date = {2010-06-30}, journal = {ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb}, volume = {105}, number = {6}, pages = {551-555}, abstract = {Vor dem Hintergrund einer wesentlich verbesserten Energieeffizienz in Gebäuden des Privat- und Geschäftsbereichs – trotz bestehender Gebäudeautomationssysteme – startete im Mai 2009 das Projekt „KEHL – Kontrollierte-Energie-Haushalts-Lösungen“ im Rahmen des Programms „KMU-innovativ“. Die wesentliche Forschungsherausforderung ist dabei, es dem Nutzer auf Basis einer einzigartigen Raum-, Zeit-, Ereignis-Relation zu ermöglichen, gebäudebezogene Gesamtverbräuche in Gebäuden bis auf die Geräteebene aufzusplitten und energetische Auswertungen in Abhängigkeit zum Nutzungsverhalten durchzuführen. Hierdurch werden nutzungsabhängige Energieverbrauchsanalysen ermöglicht, die eine automatisierte energieeffizientere Ansteuerung der vorhandenen Automationssysteme bewirken. Im nachstehenden Beitrag sollen unter anderem auf bisher erzielte Projektergebnisse eingegangen sowie weiterführende Forschungsansätze herausgestellt werden. Schwerpunkt der Ausführungen bilden insbesondere die KEHL-Wissensbasis und die darauf aufbauenden Energieanalysen.}, keywords = {data mining, Energy efficient building, knowledge management, machine learning}, pubstate = {published}, tppubtype = {article} } Vor dem Hintergrund einer wesentlich verbesserten Energieeffizienz in Gebäuden des Privat- und Geschäftsbereichs – trotz bestehender Gebäudeautomationssysteme – startete im Mai 2009 das Projekt „KEHL – Kontrollierte-Energie-Haushalts-Lösungen“ im Rahmen des Programms „KMU-innovativ“. Die wesentliche Forschungsherausforderung ist dabei, es dem Nutzer auf Basis einer einzigartigen Raum-, Zeit-, Ereignis-Relation zu ermöglichen, gebäudebezogene Gesamtverbräuche in Gebäuden bis auf die Geräteebene aufzusplitten und energetische Auswertungen in Abhängigkeit zum Nutzungsverhalten durchzuführen. Hierdurch werden nutzungsabhängige Energieverbrauchsanalysen ermöglicht, die eine automatisierte energieeffizientere Ansteuerung der vorhandenen Automationssysteme bewirken. Im nachstehenden Beitrag sollen unter anderem auf bisher erzielte Projektergebnisse eingegangen sowie weiterführende Forschungsansätze herausgestellt werden. Schwerpunkt der Ausführungen bilden insbesondere die KEHL-Wissensbasis und die darauf aufbauenden Energieanalysen. |
Publications and Talks
2016 |
Semantic Data Integration for Smart Cities using Linked Data Inproceedings 11th European Conference on Product and Process Modelling , 2016. |
KITopen, 2016. |
Identifying use cases and data requirements for BIM based energy management Inproceedings CIBSE, 2016. |
2015 |
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. |
Fred, Ana; Dietz, Jan L G; Liu, Kecheng; Filipe, Joaquim (Ed.): Springer, Berlin, Heidelberg, Berlin, Heidelberg, 2015, ISBN: 978-3-662-46548-6. |
Intelligent Information model for improving energy efficiency in building operational phase Conference Jahrestagung des KIT-Zentrums Energie, EST Energy Science Technology, 2015. |
2014 |
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. |
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. |
2013 |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
2012 |
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. |
Sustainable Production Planning Through Flexibility Measurements In Different Manufacturing Organizational Levels Inproceedings Proceeding 10th Global Conference of Sustainable Manufacturing (GCSM), 2012. |
Ontology Driven Approach for Intelligent Energy Management in Discrete Manufacturing Inproceedings Proceedings of the International Conference on Knowledge Engineering and Ontology Development, pp. 108-114, INSTICC SciTePress, 2012, ISBN: 978-989-8565-30-3. |
Resource-Efficient Planning in Production through Flexibility Measurements Inproceedings Proceeding 10th International Conference on Manufacturing Research (ICMR 2012), 2012. |
Knowledge Management Approach to improve Energy Efficiency in Small Medium Enterprises Journal Article 2012. |
Handling resource efficiency in production of small and medium sized enterprises Inproceedings 2012 18th International ICE Conference on Engineering, Technology and Innovation, pp. 1-9, IEEE, Munich, Germany, 2012. |
An Intelligent System for Improving Energy Efficiency in Building Using Ontology and Building Automation Systems Book Chapter Kongoli, Florian (Ed.): IntechOpen, 2012, ISBN: 978-953-51-0685-2. |
Evaluation of Resource Flexibility in Digital Factory Planning in Small and Medium sized Enterprises Inproceedings FAIM, International Conference on Flexible Automation and Intelligent Manufacturing, pp. 61-70, Curran Associates, Red Hook, 2012, ISBN: 978-952-15-2783-8. |
2011 |
Von der Anforderung zum Design-Element - Modellierung der Produktstruktur mit dem Business Editor Book Chapter Franke, H J (Ed.): pp. 74-82, Shaker, Aachen, 2011. |
Methodology for Flexibility Measurement in Semi-automatic Production Book Chapter ElMaraghy, Hoda A (Ed.): pp. 141-146, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, ISBN: 978-3-642-23860-4. |
Ontology-driven Requirements Elicitation in Product Configuration Systems Book Chapter ElMaraghy, Hoda A (Ed.): pp. 63-67, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, ISBN: 978-3-642-23860-4. |
A Product Life-Cycle Oriented Approach for Knowledge-Based Product Configuration Systems Book Chapter Bernard, Alain (Ed.): pp. 357-362, Springer Berlin Heidelberg, Berlin, Heidelberg, 2011, ISBN: 978-3-642-15973-2. |
2010 |
Knowledge-based intelligent energy management using building automation system Inproceedings 2010 Conference Proceedings IPEC, IEEE, Singapore, Singapore, 2010, ISSN: 1947-1262. |
Ontology Supported Intelligent Energy Management System in Buildings Inproceedings Proceeding IEEE International Conference on Industrial Engineering and Business Management (ICIEBM), IEEE 2010. |
Knowledge-based Product Configuration through Product Life Cycle Oriented Feedback-Driven Requirements Engineering Inproceedings Proceeding 20th International Conference Flexible Automation and Intelligent Manufacturing (FAIM), San Francisco, USA, 2010. |
Wissensbasierte Energieanalyse – Verbesserte Energieeffizienz in Gebäuden des Privat- und Geschäftsbereichs Journal Article ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, 105 (6), pp. 551-555, 2010. |