TY - GEN A1 - Berger, Ulrich A1 - Lebedynska, Yuliya A1 - Minhas, Sarfraz Ul-Haque T1 - Incorporating Intelligence and development of knowledge acquisition system in an automated manufacturing environment T2 - International Journal of Systems Applications, Engineering & Development N2 - 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. KW - knowledge acquisition system Y1 - 2008 VL - 2 IS - 2 SP - 58 EP - 65 ER - 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 - 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 - 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 - 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 - 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 - Juzek, Christian A1 - Berger, Ulrich A1 - Lehmann, Christian ED - Bakhtadze, Natalia ED - Chernyshov, Kirill ED - Dolgui, Alexandre ED - Lototsky, Vladimir T1 - Development of Intelligent Decision Support System Based on Unified Concept for Distributed Manufacturing Planning T2 - 7th IFAC Conference on Manufacturing Modelling, Management, and Control N2 - 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. KW - Knowledge management in production; Mass customization Y1 - 2013 U6 - https://doi.org/10.3182/20130619-3-RU-3018.00351 SP - 454 EP - 459 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 - Minhas, Sarfraz Ul-Haque A1 - Kretzschmann, Ralf A1 - Vargas, Veronica A1 - Berger, Ulrich ED - Edwards, Kasper ED - Blecker, Thorsten ED - Salvador, Fabrizio ED - Hvam, Lars ED - Friedrich, Gerhard T1 - An approach for the real time intelligent production control to fulfill mass customization requirements T2 - Mass Customization Services N2 - The automotive industry is distinguished by regionalization and mass customization of products. As a consequence, the diversity of products will increase and the lot sizes will decrease. Thus more product types have to be handled along the process chain and common production paradigms will fail. Hence, Rapid Manufacturing (RM) will be used for manufacturing small individual lot sizes. Nevertheless, new solution for joining and assembling these components are needed. The state of the art production control solutions exhibit several disadvantages while responding mass customization. A comprehensive and real time intelligent production control and monitoring system can overcome these limitations which will be the totality of intelligent production control and will be based on intelligent soft computing algorithms and smart intelligent peripheral devices. The concept is based on three interlinked main modules: a technology data catalogue (TDC) to access, share, process and structure relevant engineering data, an automated scheduling processor (ASP) based on graph theory to get an optimized and adaptable work plan using feature technology and a central programmable automation controller (PAC) for real-time sensor/actor communication. The processes will be controlled through PAC and influenced by humans through scalable human machine interfaces. The PAC and its supported software’s widespread functionality for real time applications and compatibility and flexibility with the conventional programming languages will enable in developing customized palette of functions and tools for scalable level of control solutions. It will have a widespread accessibility as it will influence the execution of robot programs after pre-processing the data coming from various peripheral devices and calculating new robot paths by segmentation of detected curves and paths corresponding to the process planning information via one interface. The human machine communication will be based on the ontological approach as a natural language interaction system for filtering and translating into machine command. The entire concept will be demonstrated in a laboratory set-up with distinct machining, assembly and joining processes and will be experimentally validated in European research and development projects. KW - Intelligent Production Control, Knowledge Driven System, Human Machine Interface, Dynamic Navigation, Technology Data Catalogue, Ontology, Mass Customization Y1 - 2008 SN - 978-87-90-855-12-3 SP - 86 EP - 101 PB - Vesterkopi Copenhagen Denmark CY - Copenhagen, Denmark 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 - TY - GEN A1 - Minhas, Sarfraz Ul-Haque A1 - Juzek, Christian A1 - Berger, Ulrich T1 - Elicitation of Requirements for a Knowledge Management Concept in Decentralized Production Planning T2 - Special Journal Issue of World Academy of Science, Engineering and Technology N2 - The planning in manufacturing system is becoming complicated day by day due to the expanding networks and shortage of skilled people to manage change. Consequently, faster lead time and rising demands for eco-efficient evaluation of manufacturing products and processes need exploitation of new and intelligent knowledge management concepts for manufacturing planning. This paper highlights motivation for incorporation of new features in the manufacturing planning system. Furthermore, it elaborates requirements for the development of intelligent knowledge management concept to support planning related decisions. Afterwards, the derived concept is presented in this paper considering two case studies. The first case study is concerned with the automotive ramp-up planning. The second case study specifies requirements for knowledge management system to support decisions in eco-efficient evaluation of manufacturing products and processes. KW - Ramp-up, Environmental impact, Knowledge management Y1 - 2013 UR - http://c.waset.org/Publications?p=81 SN - 2010-3778 VL - 2012 IS - 81 SP - 617 EP - 626 ER - TY - CHAP A1 - Lehmann, Christian A1 - Olofsson, Björn A1 - Nilsson, Klas A1 - Halbauer, Marcel A1 - Haage, Mathias A1 - Robertsson, Anders A1 - Sörnmo, Olof A1 - Berger, Ulrich T1 - Robot Joint Modeling and Parameter Identification Using the Clamping Method T2 - Proceedings of 7th IFAC Conference on Manufacturing Modelling, Management and Control (MIM) Y1 - 2013 SN - 978-3-902823-35-9 SP - 813 EP - 818 ER - TY - CHAP A1 - Halbauer, Marcel A1 - Lehmann, Christian A1 - Städter, Jost Philipp A1 - Berger, Ulrich A1 - Leali, Francesco T1 - Milling strategies optimized for industrial robots to machine hard materials T2 - 2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA 2013), Cagliari, Italy, 10 - 13 September 2013, vol. 1 Y1 - 2013 SP - 375 EP - 378 PB - IEEE CY - Piscataway, NJ ER -