TY - JOUR
T1 - Leveraging inconsistency management in the multi-view collaborative modelling of cyber-physical production systems
AU - Vogel-Heuser, Birgit
AU - Zou, Minjie
N1 - Publisher Copyright:
© 2019, John Wiley and Sons Inc. All rights reserved.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85103432740&partnerID=8YFLogxK
U2 - 10.1049/IET-CIM.2019.0019
DO - 10.1049/IET-CIM.2019.0019
M3 - Article
AN - SCOPUS:85103432740
SN - 2516-8398
VL - 1
SP - 126
EP - 129
JO - IET Collaborative Intelligent Manufacturing
JF - IET Collaborative Intelligent Manufacturing
IS - 4
ER -