A Framework for Inconsistency Detection Across Heterogeneous Models in Industry 4.0
Minjie Zou, Hao Li, Birgit Vogel‐Heuser · 2019
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.