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Assembly Process driven Component Data Model in Cyber-Physical Production Systems

Strang, Daniel and Anderl, Reiner
Ao, S. I. and Douglas, C. and Grundfest, W. S. and Burgstone, J. (eds.) (2014):
Assembly Process driven Component Data Model in Cyber-Physical Production Systems.
In: World Congress on Engineering and Computer Science 2014 - International Conference on Systems Engineering and Engineering Management. Lecture Notes in Engineering and Computer Science, San Francisco, USA, Newswood Limited. International Association of Engineers, pp. 947-952, [Book Section]

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Abstract

In times of global markets, the cost pressure on manufacturing companies in high-wage countries is increasing. One way to deal with globalized markets is to develop new production systems. The German Federal Government supports an initiative for the research on highly adaptable, cyber-physical production systems called Industrie 4.0. In cyber-physical production systems components communicate with assembly stations and other components to guarantee the ideal manufacturing process. As part of this initiative the description of communication and decision processes in the assembly systems is researched. Therefore a UML based modeling method is chosen to model the communications and material flows in such a system. The component data model is one central element in the process. In the model knowledge about the individual components can be stored and used to make decisions in the assembly process. During the communication process components exchange relevant knowledge, which is available in the component data model. This is required to define what components should be assembled to a final product and on which manufacturing station the work should be done. It guarantees low costs and a high flexibility in the assembly process. In this paper the relevance of the component data model in assembly processes and on the process models is shown.

Item Type: Book Section
Erschienen: 2014
Editors: Ao, S. I. and Douglas, C. and Grundfest, W. S. and Burgstone, J.
Creators: Strang, Daniel and Anderl, Reiner
Title: Assembly Process driven Component Data Model in Cyber-Physical Production Systems
Language: English
Abstract:

In times of global markets, the cost pressure on manufacturing companies in high-wage countries is increasing. One way to deal with globalized markets is to develop new production systems. The German Federal Government supports an initiative for the research on highly adaptable, cyber-physical production systems called Industrie 4.0. In cyber-physical production systems components communicate with assembly stations and other components to guarantee the ideal manufacturing process. As part of this initiative the description of communication and decision processes in the assembly systems is researched. Therefore a UML based modeling method is chosen to model the communications and material flows in such a system. The component data model is one central element in the process. In the model knowledge about the individual components can be stored and used to make decisions in the assembly process. During the communication process components exchange relevant knowledge, which is available in the component data model. This is required to define what components should be assembled to a final product and on which manufacturing station the work should be done. It guarantees low costs and a high flexibility in the assembly process. In this paper the relevance of the component data model in assembly processes and on the process models is shown.

Title of Book: World Congress on Engineering and Computer Science 2014 - International Conference on Systems Engineering and Engineering Management. Lecture Notes in Engineering and Computer Science
Volume: Volume II.
Place of Publication: San Francisco, USA
Publisher: Newswood Limited. International Association of Engineers
ISBN: 978-988-19253-7-4
Divisions: 16 Department of Mechanical Engineering > Department of Computer Integrated Design (DiK)
16 Department of Mechanical Engineering
Date Deposited: 14 Nov 2014 10:21
Alternative Abstract:
Alternative abstract Language
In Zeiten der globalen Märkte nimmt der Kostendruck auf produzierende Unternehmen in Hochlohnländern zu. Eine Möglichkeit, diesem entgegen zu wirken, ist die Entwicklung neuer Produktionssysteme. Die deutsche Bundesregierung fördert die Forschung zu anpassungsfähigen, cyber-physischen Produktionssystemen in der Initiative Industrie 4.0. In cyber-physischen Produktionssystemen tauschen Komponenten mit Montagestationen und andere Komponenten Daten aus, um den idealen Produktionsprozess selbstständig zu entwickeln. Im Rahmen der Initiative Industrie 4.0 wird die Beschreibung der Kommunikations- und Entscheidungsprozesse von cyber-physischen Montagesystemen erforscht. In diesem Paper wird ein UML basiertes Modellierungsverfahren gewählt, um die Kommunikation und Materialflüsse in einem solchen System zu modellieren. Das Bauteildatenmodell ist dabei ein zentrales Element in dem Prozess. In diesem Modell können Informationen über die einzelnen Komponenten gespeichert werden. Diese Informationen werden verwendet, um Entscheidungen in der Montage zu treffen. Während des Kommunikationsprozesses tauschen Komponenten Informationen aus, die im Bauteildatenmodell zur Verfügung stehen. Dies ist erforderlich um festzulegen, welche Bauteile zu einem Produkt zusammengeführt werden und auf welchen Montagestationen die Arbeit durchgeführt wird. Somit werden niedrige Kosten und eine hohe Flexibilität in der Montage ermöglicht. In diesem Beitrag wird die Bedeutung des Bauteildatenmodells für Montageprozesse und die Prozessmodelle aufgezeigt.German
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