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Published in:
2018 | OriginalPaper | Chapter
Application of Decision Trees for Quality Management Support
Authors : Rafal Cupek, Adam Ziebinski, Marek Drewniak
Published in: Computational Collective Intelligence
Publisher: Springer International Publishing
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Abstract
The quality management process is one of the most important manufacturing activities. Although it can be implemented in a dedicated IT system, because of the easy access to production data in Manufacturing Execution Systems, it seems that an MES is a particularly convenient place for its implementation. This paper describes the concept of using decision tree methods to analyse the relationship between the production path and quality problems. The proposed method is based on an information model that is compliant with the ISA95 standard. Because of this, it can be applied not only in the case presented in the research part, but is also applicable for the problem of quality analysis in other types of discrete production. The authors present the information model that was used, the proposed method of analysis and the results for the simulation data. The simulation scenario was created as a simplification of the actual production process of electronic devices performed by AIUT company.