@incollection{MinhasKretzschmannVargasetal., author = {Minhas, Sarfraz Ul-Haque and Kretzschmann, Ralf and Vargas, Veronica and Berger, Ulrich}, title = {Mass Customization Responsive Automated Assembly Cells}, editor = {Piller, F. T. and Tseng, M. M.}, language = {en} } @inproceedings{BergerNoackVargas, author = {Berger, Ulrich and Noack, Jan and Vargas, Veronica}, title = {Konzept zur Einbindung heterogener Komponenten in eine industrielle Systemlandschaft}, series = {Automation 2008, L{\"o}sungen f{\"u}r die Zukunft, der Automatisierungskongress in Deutschland, Tagung Baden-Baden, 3 und 4. Juni 2008}, booktitle = {Automation 2008, L{\"o}sungen f{\"u}r die Zukunft, der Automatisierungskongress in Deutschland, Tagung Baden-Baden, 3 und 4. Juni 2008}, publisher = {VDI-Verl.}, address = {D{\"u}sseldorf}, isbn = {978-3-18-092032-0}, pages = {343 -- 344}, language = {de} } @inproceedings{BergerKretzschmannNoack, author = {Berger, Ulrich and Kretzschmann, Ralf and Noack, Jan}, title = {An Approach for a Knowledge-Based NC Programming System}, series = {Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics, Funchal, Madeira Portugal, May 11-15, 2008}, booktitle = {Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics, Funchal, Madeira Portugal, May 11-15, 2008}, publisher = {INSTICC}, address = {Funchal, Madeira, Portugal}, isbn = {978-989-8111-30-2}, pages = {120 -- 126}, language = {en} } @inproceedings{BergerKretzschmannMinhas, author = {Berger, Ulrich and Kretzschmann, Ralf and Minhas, Sarfraz Ul-Haque}, title = {Hochleistungsf{\"a}hige und realzeitf{\"a}hige Prozesskontrolle f{\"u}r dynamische, robotergest{\"u}tzte F{\"u}geaufgaben}, language = {de} } @inproceedings{BergerLebedynska, author = {Berger, Ulrich and Lebedynska, Yuliya}, title = {Development of a Training System and Estimation of Efficiency using Mathematical Methods}, language = {en} } @inproceedings{BergerKretzschmannVargas, author = {Berger, Ulrich and Kretzschmann, Ralf and Vargas, Veronica}, title = {Intelligent production monitoring and control for mass customization of automated manufacturing cells in the automotive industry}, series = {Proceedings of the 12th MCPC 2007, World Conference on Mass Customization and Personalization, Oktober 07-10, 2007, USA}, booktitle = {Proceedings of the 12th MCPC 2007, World Conference on Mass Customization and Personalization, Oktober 07-10, 2007, USA}, pages = {8}, language = {en} } @inproceedings{BergerKretzschmann, author = {Berger, Ulrich and Kretzschmann, Ralf}, title = {Development of a holistic guidance system for the NC process chain for benchmarking machining operations}, series = {ETFA 2007 proceedings, September 25 - 28, 2007, University of Patras, Greece}, booktitle = {ETFA 2007 proceedings, September 25 - 28, 2007, University of Patras, Greece}, publisher = {IEEE Service Center}, address = {Piscataway, NJ}, isbn = {978-1-424-40825-2}, pages = {1005 -- 1009}, language = {en} } @article{BergerKretzschmann, author = {Berger, Ulrich and Kretzschmann, Ralf}, title = {Aufbau einer werkstattgerechten Informationsversorgung}, language = {de} } @inproceedings{BergerKretzschmann, author = {Berger, Ulrich and Kretzschmann, Ralf}, title = {Automatisierungsl{\"o}sungen f{\"u}r PKWs}, language = {de} } @inproceedings{BergerKretzschmann, author = {Berger, Ulrich and Kretzschmann, Ralf}, title = {Industrial Life Cycle Automation}, language = {en} } @inproceedings{ThiebusBerger, author = {Thiebus, Sven and Berger, Ulrich}, title = {Knowledge Management for Dynamic Automotive Networks}, series = {Network-Centric Collaboration and Supporting Frameworks, Seventh IFIP Working Conference on Virtual Enterprises, September 25-27, 2006, Helsinki, Finland}, booktitle = {Network-Centric Collaboration and Supporting Frameworks, Seventh IFIP Working Conference on Virtual Enterprises, September 25-27, 2006, Helsinki, Finland}, editor = {Camarinha-Matos, Luis M.}, publisher = {Springer}, address = {Boston}, isbn = {978-0-387-38266-1}, pages = {591 -- 598}, language = {en} } @article{BergerThiebus, author = {Berger, Ulrich and Thiebus, Sven}, title = {Wissensmanagement in der Planungsphase}, language = {de} } @article{LeprattiBerger, author = {Lepratti, Raffaello and Berger, Ulrich}, title = {Advanced Human-Machine System for the Intelligent Manufacturing : based on the Ontological Filtering System for the Processing of Natural Languages}, language = {en} } @inproceedings{LeprattiCaiBergeretal., author = {Lepratti, Raffaello and Cai, Jing and Berger, Ulrich and Weyrich, Michael}, title = {Toward the Knowlegde-based Enterprise}, language = {en} } @misc{BergerLebedynskaMinhas, author = {Berger, Ulrich and Lebedynska, Yuliya and Minhas, Sarfraz Ul-Haque}, title = {Incorporating Intelligence and development of knowledge acquisition system in an automated manufacturing environment}, series = {International Journal of Systems Applications, Engineering \& Development}, volume = {2}, journal = {International Journal of Systems Applications, Engineering \& Development}, number = {2}, pages = {58 -- 65}, abstract = {This paper focuses on the systematic methodology for incorporating intelligence and development methodology for knowledge acquisition system in an automated manufacturing environment. The intelligence is incorporated in the shape of technology data catalogue that contains the knowledge about production system as a whole. The knowledge acquisition system is implemented in the form of a multiuser scalable interface into remote human machine interface devices (e.g. Personal Digital Assistants) with a purpose of extracting concrete and precise information and knowledge about manufacturing systems and processes in highly automated manufacturing environment. The extraction of precise knowledge as well as organized access to the knowledge will facilitates the operators, technicians and engineers for making faster, safer and simpler on-process modifications and parameters optimization.}, language = {en} } @inproceedings{ZipterZuernBerger, author = {Zipter, Volker and Z{\"u}rn, Michael and Berger, Ulrich}, title = {Ressourceneinsatzplanung f{\"u}r "Robot Farming" Konzepte in der Montage}, series = {EKA 2012 Entwurf komplexer Automatisierungssysteme 12. IFAK Fachtagung}, booktitle = {EKA 2012 Entwurf komplexer Automatisierungssysteme 12. IFAK Fachtagung}, editor = {Jumar, Ulrich and Schnieder, Eckehard and Diedrich, Christian}, publisher = {ifak Institut f{\"u}r Automation und Kommunikation e.V. Magdeburg}, address = {Magdeburg}, isbn = {978-3-940961-72-3}, pages = {139 -- 148}, abstract = {Insbesondere die produzierenden Unternehmen in der Automobilindustrie m{\"u}ssen auf k{\"u}rzere Produktzyklen und steigende Vielfalt zeitnah und wirtschaftlich reagieren, um langfristigen Unternehmenserfolg zu sichern. Diese Anforderungen k{\"o}nnen heute verf{\"u}gbare Systeme oftmals nicht leisten. Die kognitiven F{\"a}higkeiten der Mitarbeiter erm{\"o}glichen in der manuellen Montage eine hohe Anpassungsf{\"a}higkeit. Erw{\"u}nschte Produktivit{\"a}tssteigerungen werden durch Erh{\"o}hung des Automatisierungsgrades engestrebt, wobei die F{\"a}higkeiten der Mitarbeiter nur selten genutzt werden und die Anpassungsf{\"a}higkeit abnimmt. Zukunftsweisende Montagekonzepte k{\"o}nnen nur durch entsprechende Zielsetzung und methodische Vorgehensweisen erreicht und umgesetzt werden. Ziel des "Robot Farming" Konzept ist es, die Mitarbeiterproduktivit{\"a}t unter voller Nutzung ihrer kognitiven F{\"a}higkeiten zu steigern. Im Beitrag werden die Vorgehensweise zur Konzeptentwicklung, ausgew{\"a}hlte Bausteine des "Robot Farming" und ein Planungssystem f{\"u}r "Robot Farming" Konzepte in der Montage vorgestellt.}, language = {de} } @inproceedings{ZipterZuernBerger, author = {Zipter, Volker and Z{\"u}rn, Michael and Berger, Ulrich}, title = {Optimierte Ressourceneinsatzplanung f{\"u}r „Robot Farming" Konzepte in der Montage - „Robot Farming" Systeme optimal konfigurieren}, series = {Automation 2012, 13. Branchentreff der Mess- und Automatisierungstechnik, Kongresshaus Baden-Baden, 13. und 14. Juni 2012}, booktitle = {Automation 2012, 13. Branchentreff der Mess- und Automatisierungstechnik, Kongresshaus Baden-Baden, 13. und 14. Juni 2012}, publisher = {VDI Verlag}, address = {D{\"u}sseldorf}, isbn = {978-3-18-092171-6}, pages = {291 -- 296}, abstract = {Insbesondere die produzierenden Unternehmen in der Automobilindustrie m{\"u}ssen auf k{\"u}rzere Produktlebenszyklen und steigende Vielfalt zeitnah und wirtschaftlich reagieren, um langfristigen Unternehmenserfolg zu sichern. Diese Anforderungen k{\"o}nnen heute verf{\"u}gbare Systeme oftmals nicht leisten. Die kognitiven F{\"a}higkeiten der Mitarbeiter erm{\"o}glichen in der manuellen Montage eine hohe Anpassungsf{\"a}higkeit. Erw{\"u}nschte Produktivit{\"a}tssteigerungen werden durch Erh{\"o}hung des Automatisierungsgrades angestrebt, wobei die F{\"a}higkeiten der Mitarbeiter nur selten genutzt werden und die Anpassungsf{\"a}higkeit abnimmt. Zukunftsweisende Montagekonzepte k{\"o}nnen nur durch entsprechende Zielsetzung und methodische Vorgehensweisen erreicht und umgesetzt werden. Ziel des „Robot Farming" Konzeptes ist es, die Mitarbeiterproduktivit{\"a}t unter voller Nutzung ihrer kognitiven F{\"a}higkeiten zu steigern. Im Beitrag werden die Vorgehensweise zur Konzeptentwicklung, ausgew{\"a}hlte Bausteine des „Robot Farming" und ein Planungssystem f{\"u}r „Robot Farming" Konzepte in der Montage vorgestellt.}, language = {de} } @inproceedings{LebedynskaBerger, author = {Lebedynska, Yuliya and Berger, Ulrich}, title = {Intelligent Knowledge-based System for the Automated Screwing Process Control}, series = {AIKED 2012, 11th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases}, booktitle = {AIKED 2012, 11th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases}, editor = {Rudas, Imre J. and Zaharim, Azami and Sopian, Kamaruzzaman and Strouhal, Jiri}, publisher = {WSEAS Press}, isbn = {978-1-61804-068-8}, pages = {175 -- 180}, abstract = {In this approach a knowledge-based system with a parameters quality assessment for automated screwing processes is developed. To avoid technical risks, it makes sense to develop methods, which automatically extract the process related data and provide it to operator afterwards. By using the knowledgebased system, information (process and control data) about the parameterization of the screwing process control with standardized correlations and tested process steps is provided. In this way the running, modification and optimization of the screwing process can be implemented without errors. This system was tested on an experimental platform for screwing process in the research laboratory. Thereby, the functionalities of the platform and their components are described and a validation of the developed system is carried out. Data interrelations between different software components are elaborated in detail. The validation of the system is done using the screwing process test case. The precision in the parameterization is made with help of functional properties of parameters. Consequently, an obvious minimization of the parameterization errors and a simple screwing process control are achieved.}, language = {en} } @inproceedings{LebedynskaBerger, author = {Lebedynska, Yuliya and Berger, Ulrich}, title = {Development of an Information system with Maturity Degree Management for Automated Screwing Processes}, series = {IADIS International Conference Information Systems 2012}, booktitle = {IADIS International Conference Information Systems 2012}, editor = {Nunes, Miguel Baptista and Isa{\´i}as, Pedro and Powell, Philip}, publisher = {IADIS Press}, isbn = {978-972-8939-68-7}, pages = {49 -- 56}, abstract = {Sophisticated screwing processes in modern screwing equipment are marked with complex parameter settings of the screwing operations and with their assessment requirements. To gain the potential for improvement, the screwing processes must be handled using a special strategy. To determine the exact parameters and to achieve improved process quality requires development of analysis tools to diagnose the parameter attributes. Increased requirements in the screwing processes demand operator best fit training procedures. A continuous improvement concept for the process control is required to enhance work quality. An information system with a maturity degree for automated screwing processes is developed. To avoid the technical risks, some mechanisms were developed, which automatically extract the process related data and provide it to operator afterwards. By using the information system, information (process and control data) about the parameterization of the screwing control with standardized correlations and a clear tracing of working steps is provided. In this way the running, modification and optimization of the screwing process can be implemented without errors. The developed information system was evaluated on an experimental platform for screwing process in the research laboratory. Thereby, the functionalities of the platform and their components are described and a validation of the developed system is carried out. The development and assembly of the components is presented. Data interrelations are also described in detail. With the developed information system the correct parameterization of the screwing processes with a degree of maturity of the process parameters were achieved. The evaluation of the maturity degree is made with the help of functional properties of the parameters. Consequently, an obvious minimization of the mistakes and a simple screwing process control is achieved.}, language = {en} } @inproceedings{MinhasJuzekBerger, author = {Minhas, Sarfraz Ul-Haque and Juzek, Christian and Berger, Ulrich}, title = {Ontology based Intelligent Assistant System to support Manufacturing activities in a Distributed Manufacturing Environment}, series = {45th CIRP Conference on Manufacturing Systems 2012, Athens, Greece, 16 - 18 May 2012}, booktitle = {45th CIRP Conference on Manufacturing Systems 2012, Athens, Greece, 16 - 18 May 2012}, publisher = {Curran}, address = {Red Hook, NY}, isbn = {978-1-62748-512-8}, pages = {215 -- 220}, abstract = {The automotive industry is experiencing several limitations due to high mass customization on product side and the consequent evolution of newer ones as well as the expansion of existing production setups. There exist various complexities in planning and control of istributed production setups. This paper addresses issues related to planning using knowledge management approaches in the decentralized manufacturing domain with two distinct cases. The first case relates to the higher level planning methodology to automate experts' knowledge in production ramp-up whereas the second case relates to optimization of production processes using knowledgebase as an intelligent assistance system for optimization.}, language = {en} } @inproceedings{MinhasJuzekBergeretal., author = {Minhas, Sarfraz Ul-Haque and Juzek, Christian and Berger, Ulrich and Lehmann, Christian}, title = {Development of Intelligent Decision Support System Based on Unified Concept for Distributed Manufacturing Planning}, series = {7th IFAC Conference on Manufacturing Modelling, Management, and Control}, booktitle = {7th IFAC Conference on Manufacturing Modelling, Management, and Control}, editor = {Bakhtadze, Natalia and Chernyshov, Kirill and Dolgui, Alexandre and Lototsky, Vladimir}, doi = {10.3182/20130619-3-RU-3018.00351}, pages = {454 -- 459}, abstract = {The optimization processes in production planning often encounter problems due to unavailability of skilled workers in the concerned production departments since the decisions made in uncertain situations rely mainly on the knowledge possessed by the relevant planners. This paper further presents and elaborates the unified web-based knowledge based decision support system concept to automate and reuse implicit knowledge generated during interaction with the dedicated software tools as well as during interaction with real hardware setups in an industrial environment. The unified concept has been devised considering two pilot cases i.e. decision making on eco-efficient decentralized production schemes for manufacturing customized products and decision support for solving problems in ramp-up management process. This paper further discusses the development issues concerning web-based knowledge based decision support system to demonstrate the unified concept. The software modules from both pilot cases are validated considering two pilot cases.}, language = {en} } @inproceedings{MinhasBerger, author = {Minhas, Sarfraz Ul-Haque and Berger, Ulrich}, title = {Development of Intelligent Assistance System to Support Eco-efficient Planning}, series = {KEOD 2012 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development, Barcelona, Spain, 4 - 7 October, 2012}, booktitle = {KEOD 2012 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development, Barcelona, Spain, 4 - 7 October, 2012}, editor = {Filipe, Joaquim and Dietz, Jan L. G.}, isbn = {978-989-8565-30-3}, pages = {331 -- 334}, abstract = {The automotive industry is facing challenges due to high mass customization and consequent decentralization of manufacturing systems. Currently, the evaluation and optimization of eco-efficiency of production processes is complicated due to time consuming LCA simulations and inexperience of production planners to make respective decisions. This paper addresses this issue by developing ontology based intelligent assistance system to support planner in environmental assessment of manufacturing of customized production in decentralized manufacturing networks as well as decision making in production planning.}, language = {en} }