Relevant data when implementing tools of quality in cyber-physical systems

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Schötz, Sebastian ; Rosemann, Bernd ; Reiser, Sophia Elisabeth:
Relevant data when implementing tools of quality in cyber-physical systems.
In: Proceedings in Manufacturing Systems. Bd. 14 (2019) Heft 2 . - S. 43-48.
ISSN 2343-7472

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Abstract

Tools of quality aim to increase the quality in manufacturing systems and hence, maintain or even improve the competitiveness of enterprises. A promising approach to gain the effectiveness of tools of quality is the implementation of these tools in cyber-physical systems. However, there is a gap of knowledge when it comes to such an implementation – in particular concerning the relevant data of the tools of quality. In order to deal with this issue, this paper presents results from an examination of seven tools of quality regarding their relevant data when it comes to an implementation in a cyber-physical system. Firstly, different key characteristic of cyber-physical systems are carved out, which have to be considered. Then, seven basic tools of quality are examined in detail in order to identify their specific relevant data. The identified data are sorted into the categories basic data, input data and output data. Subsequently, an approach for a systematic identification of data flows between the tools of quality based on a pairwise evaluation is described. Moreover, major data flows between tools of quality are proposed. Finally, findings of a practical implementation of tools of quality in a cyber-physical system are presented. It has been proven that a real-time capability as well as a location-independence can be achieved when tools of quality are implemented in cyber-physical systems under consideration of the data identified in this paper.