Open AccessLeveraging inconsistency management in the multi‐view collaborative modelling of cyber‐physical production systems
Author(s) -
VogelHeuser Birgit,
Zou Minjie
Publication year - 2019
Publication title -
iet collaborative intelligent manufacturing
Language(s) - English
Resource type - Journals
ISSN - 2516-8398
DOI - 10.1049/iet-cim.2019.0019
Subject(s) - cyber physical system , flexibility (engineering) , computer science , knowledge base , production (economics) , scale (ratio) , data science , production system (computer science) , cross disciplinary , systems engineering , knowledge management , risk analysis (engineering) , software engineering , engineering , artificial intelligence , business , statistics , physics , mathematics , process (computing) , quantum mechanics , economics , macroeconomics , operating system
Cyber‐physical production systems (CPPS) are interconnected systems producing customised products. Such a system appeals for flexibility and closer cross‐disciplinary collaboration, which might introduce inconsistencies among models and lead to system failures. Detecting inconsistencies needs expert knowledge and is usually performed in an ad‐hoc way. Knowledge base, a technology which stores knowledge formally for automatic problem‐solving, can efficiently assist engineers in detecting inconsistencies across engineering models and between the models and their physical realisations. The approach is evaluated with a bench‐scale CPPS.