Inproceedings,

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

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Proceedings of the World Congress on Engineering and Computer Science (WCECS 2014), San Francisco, USA, Volume II, volume 2214 of Lecture Notes in Engineering and Computer Science, page 947--952. Hong Kong, International Association of Engineers (IAENG), Newswood, (2014)

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.

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