TY - CHAP A1 - Zipter, Volker A1 - Zürn, Michael A1 - Berger, Ulrich ED - Jumar, Ulrich ED - Schnieder, Eckehard ED - Diedrich, Christian T1 - Ressourceneinsatzplanung für "Robot Farming" Konzepte in der Montage T2 - EKA 2012 Entwurf komplexer Automatisierungssysteme 12. IFAK Fachtagung N2 - Insbesondere die produzierenden Unternehmen in der Automobilindustrie müssen auf kürzere Produktzyklen und steigende Vielfalt zeitnah und wirtschaftlich reagieren, um langfristigen Unternehmenserfolg zu sichern. Diese Anforderungen können heute verfügbare Systeme oftmals nicht leisten. Die kognitiven Fähigkeiten der Mitarbeiter ermöglichen in der manuellen Montage eine hohe Anpassungsfähigkeit. Erwünschte Produktivitätssteigerungen werden durch Erhöhung des Automatisierungsgrades engestrebt, wobei die Fähigkeiten der Mitarbeiter nur selten genutzt werden und die Anpassungsfähigkeit abnimmt. Zukunftsweisende Montagekonzepte können nur durch entsprechende Zielsetzung und methodische Vorgehensweisen erreicht und umgesetzt werden. Ziel des "Robot Farming" Konzept ist es, die Mitarbeiterproduktivität unter voller Nutzung ihrer kognitiven Fähigkeiten zu steigern. Im Beitrag werden die Vorgehensweise zur Konzeptentwicklung, ausgewählte Bausteine des "Robot Farming" und ein Planungssystem für "Robot Farming" Konzepte in der Montage vorgestellt. KW - Robot Farming; Ressourceneinsatzplanung; Planungssystem Y1 - 2012 SN - 978-3-940961-72-3 SP - 139 EP - 148 PB - ifak Institut für Automation und Kommunikation e.V. Magdeburg CY - Magdeburg ER - TY - CHAP A1 - Lehmann, Christian A1 - Halbauer, Marcel A1 - Euhus, Dirk A1 - Overbeck, Daniel T1 - Milling with industrial robots: Strategies to reduce and compensate process force induced accuracy influences T2 - Proceedings of the 17th IEEE International Conference on Emerging Technologies & Factory Automation (ETFA 2012), Krakow, Poland, 17 - 21 September 2012, vol. 2 N2 - Industrial robots offer a good basis for machining from a conceptual point of view. However they are rarely utilized for machining applications in industry due to their low stiffness and the bad achievable work piece quality. Available solutions using position control of the tool require costly additional hardware and measurement equipment; force controlled solutions depend on low level controller access that is not commonly available for generic cell setups. This paper proposes a three-step approach to compensate for process force induced accuracy errors: (1) selection of appropriate milling strategies and cutting parameters, (2) an offline compensation of the force induced deviations and (3) a respective online compensation method. Experimental validation of the results has been performed for the first two steps. KW - milling KW - robots KW - process forces Y1 - 2012 SN - 978-1-4673-4735-8 SP - 1075 EP - 1078 PB - IEEE CY - Piscataway, NJ ER - TY - CHAP A1 - Zipter, Volker A1 - Zürn, Michael A1 - Berger, Ulrich T1 - Optimierte Ressourceneinsatzplanung für „Robot Farming“ Konzepte in der Montage - „Robot Farming“ Systeme optimal konfigurieren T2 - Automation 2012, 13. Branchentreff der Mess- und Automatisierungstechnik, Kongresshaus Baden-Baden, 13. und 14. Juni 2012 N2 - Insbesondere die produzierenden Unternehmen in der Automobilindustrie müssen auf kürzere Produktlebenszyklen und steigende Vielfalt zeitnah und wirtschaftlich reagieren, um langfristigen Unternehmenserfolg zu sichern. Diese Anforderungen können heute verfügbare Systeme oftmals nicht leisten. Die kognitiven Fähigkeiten der Mitarbeiter ermöglichen in der manuellen Montage eine hohe Anpassungsfähigkeit. Erwünschte Produktivitätssteigerungen werden durch Erhöhung des Automatisierungsgrades angestrebt, wobei die Fähigkeiten der Mitarbeiter nur selten genutzt werden und die Anpassungsfähigkeit abnimmt. Zukunftsweisende Montagekonzepte können nur durch entsprechende Zielsetzung und methodische Vorgehensweisen erreicht und umgesetzt werden. Ziel des „Robot Farming“ Konzeptes ist es, die Mitarbeiterproduktivität unter voller Nutzung ihrer kognitiven Fähigkeiten zu steigern. Im Beitrag werden die Vorgehensweise zur Konzeptentwicklung, ausgewählte Bausteine des „Robot Farming“ und ein Planungssystem für „Robot Farming“ Konzepte in der Montage vorgestellt. KW - Robot Farming Y1 - 2012 SN - 978-3-18-092171-6 SP - 291 EP - 296 PB - VDI Verlag CY - Düsseldorf ER - TY - CHAP A1 - Lebedynska, Yuliya A1 - Berger, Ulrich ED - Nunes, Miguel Baptista ED - Isaías, Pedro ED - Powell, Philip T1 - Development of an Information system with Maturity Degree Management for Automated Screwing Processes T2 - IADIS International Conference Information Systems 2012 N2 - 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. KW - Information system; automated processes; screwing control; process parameterization Y1 - 2012 SN - 978-972-8939-68-7 SP - 49 EP - 56 PB - IADIS Press ER - TY - CHAP A1 - Schäfer, Stephan A1 - Berger, Ulrich A1 - Schöttke, Dirk A1 - Kämpfe, Thomas T1 - Wireless communication in rough industrial environments T2 - Wireless Congress 2012, systems & applications, 14 - 15 November 2012, Munich, Germany Y1 - 2012 SN - 978-3-645-50110-1 PB - WEKA-Fachmedien CY - Haar ER - TY - CHAP A1 - Minhas, Sarfraz Ul-Haque A1 - Juzek, Christian A1 - Berger, Ulrich T1 - Ontology based Intelligent Assistant System to support Manufacturing activities in a Distributed Manufacturing Environment T2 - 45th CIRP Conference on Manufacturing Systems 2012, Athens, Greece, 16 - 18 May 2012 N2 - 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. KW - Ramp-up, Knowledge management, Knowledge manager Y1 - 2012 SN - 978-1-62748-512-8 SP - 215 EP - 220 PB - Curran CY - Red Hook, NY ER - TY - CHAP A1 - Minhas, Sarfraz Ul-Haque A1 - Berger, Ulrich ED - Filipe, Joaquim ED - Dietz, Jan L. G. T1 - Development of Intelligent Assistance System to Support Eco-efficient Planning T2 - KEOD 2012 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development, Barcelona, Spain, 4 - 7 October, 2012 N2 - 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. KW - Production Scheme, Knowledge management, Knowledge repository, Environmental impact Y1 - 2012 SN - 978-989-8565-30-3 SP - 331 EP - 334 ER - TY - CHAP A1 - Lebedynska, Yuliya A1 - Berger, Ulrich ED - Rudas, Imre J. ED - Zaharim, Azami ED - Sopian, Kamaruzzaman ED - Strouhal, Jiri T1 - Intelligent Knowledge-based System for the Automated Screwing Process Control T2 - AIKED 2012, 11th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases N2 - 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. KW - Intelligent knowledge-based system KW - automated screwing process control KW - data extraction KW - process parameterization Y1 - 2012 SN - 978-1-61804-068-8 SP - 175 EP - 180 PB - WSEAS Press ER - TY - GEN A1 - Schäfer, Stephan A1 - Berger, Ulrich A1 - Schöttke, Dirk A1 - Kämpfe, Thomas T1 - Das Zeitverhalten verteilter Anlagen T2 - atp edition - Automatisierungstechnische Praxis Y1 - 2012 SN - 2190-4111 VL - 54 IS - 10 SP - 36 EP - 43 ER - TY - GEN A1 - Minhas, Sarfraz Ul-Haque A1 - Juzek, Christian A1 - Berger, Ulrich ED - Chryssolouris, George ED - Mourtzis, Dimitris T1 - Ontology Based Intelligent Assistance System to Support Manufacturing Activities in a Distributed Manufacturing Environment T2 - Procedia CIRP N2 - 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 distributed 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. KW - Ramp-up; Knowledge management; Knowledge manager Y1 - 2012 UR - http://www.sciencedirect.com/science/article/pii/S2212827112002107 U6 - https://doi.org/10.1016/j.procir.2012.07.038 SN - 2212-8271 N1 - 45th CIRP Conference on Manufacturing Systems 2012 VL - 1 IS - 3 SP - 215 EP - 220 ER -