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Data-driven Component Configuration in Production Systems

Authors:
Daning Wang
Christoph Knieke
Andreas Rausch

Keywords: Architecture Evolution; Semantical Matching; Configuration of Components; Cyber-physical System

Abstract:
In many factories, trying to model and develop a complex production system is considered a hard task, requiring efforts and time to the process engineers and system engineers. The production system is treated as a closed data driven system where the system development is motivated by the production time and the quality of products. The corresponding technical solutions for the evaluated result (e.g., for production time) are considered as the driving data of the production system, which can be developed to improve the productivity of the production system. On the other side, the production system is a cyber-physical system, which presents a unified view of computing systems that interact strongly with their physical environment. In order to raise the productivity, the production time and the quality of products must be evaluated regularly. The components in production systems must follow these results of evaluation and be configured with a new architecture to achieve the new requirements. Thus, the challenge is how to follow the driving data to get the new component configuration in production system, particularly cyber-physical system. This paper will give an approach for modeling of the production system and generating of a candidate of component configuration in consideration of the driving data.

Pages: 44 to 47

Copyright: Copyright (c) IARIA, 2019

Publication date: May 5, 2019

Published in: conference

ISSN: 2308-4146

ISBN: 978-1-61208-706-1

Location: Venice, Italy

Dates: from May 5, 2019 to May 9, 2019