Resolving Inconsistencies Optimally in the Model-Based Development of Production Systems

Minjie Zou, Boyang Lu, Birgit Vogel-Heuser

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

7 Zitate (Scopus)

Abstract

During the collaborative development of production systems, models are used to represent different views on the systems. These models are heterogeneous in forms but dependent in contents. Inconsistencies among them should be properly handled in an early time. An automated process is favored due to high efficiency and low error proneness when compared to the conventional manual fixing. In this study, an approach for knowledge-based automatically resolving inconsistencies (KARI) is proposed to resolve inconsistencies across development models. The approach can resolve several different inconsistencies simultaneously without causing new inconsistencies. At the same time, changes required to resolve inconsistencies can be minimized. The feasibility of this approach is proved by selected industrial cases in the simulation.

OriginalspracheEnglisch
Titel2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018
Herausgeber (Verlag)IEEE Computer Society
Seiten1064-1070
Seitenumfang7
ISBN (elektronisch)9781538635933
DOIs
PublikationsstatusVeröffentlicht - 4 Dez. 2018
Veranstaltung14th IEEE International Conference on Automation Science and Engineering, CASE 2018 - Munich, Deutschland
Dauer: 20 Aug. 201824 Aug. 2018

Publikationsreihe

NameIEEE International Conference on Automation Science and Engineering
Band2018-August
ISSN (Print)2161-8070
ISSN (elektronisch)2161-8089

Konferenz

Konferenz14th IEEE International Conference on Automation Science and Engineering, CASE 2018
Land/GebietDeutschland
OrtMunich
Zeitraum20/08/1824/08/18

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