A Framework for Inconsistency Detection Across Heterogeneous Models in Industry 4.0

Manufacturing systems nowadays get more interconnected and flexible. Developing such a system appeals for closer interdisciplinary collaboration. Various models are used by different engineers to shape specific views on the system, but might also introduce contradictions, i.e. inconsistencies, leadi...

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Bibliographic Details
Published in2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) pp. 29 - 34
Main Authors Zou, M., Li, H., Vogel-Heuser, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2019
Subjects
Inconsistency
Knowledge Base
Manufacturing System Development
Model-based Engineering
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Summary:Manufacturing systems nowadays get more interconnected and flexible. Developing such a system appeals for closer interdisciplinary collaboration. Various models are used by different engineers to shape specific views on the system, but might also introduce contradictions, i.e. inconsistencies, leading to engineering delays or failures. This study proposes a knowledge-based framework to detect and avoid inconsistency across models representing different views of the same system. A prototype of the framework is implemented and evaluated.
ISSN:2157-362X
DOI:10.1109/IEEM44572.2019.8978930