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Titel:

A Framework for Inconsistency Detection across Heterogeneous Models in Industry 4.0

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Zou, Minjie; Li, Huaxia; Vogel-Heuser, Birgit
Abstract:
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. However, detecting inconsistencies is challenging and usually in an ad-hoc way. Knowledge base, a technology which stores knowledge formally for automatic problem...     »
Kongress- / Buchtitel:
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
Verlagsort:
Macau, China
Jahr:
2019
Seiten:
0--0
Nachgewiesen in:
Scopus; Web of Science
WWW:
http://ieem2019.org/public.asp?page=techProg.htm
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