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

Minjie Zou; Boyang Lu; Birgit Vogel-Heuser

doi:10.1109/COASE.2018.8560400

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

Minjie Zou, Boyang Lu, Birgit Vogel-Heuser

Chair of Automation and Information Systems

Technical University of Munich

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

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.

Original language	English
Title of host publication	2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018
Publisher	IEEE Computer Society
Pages	1064-1070
Number of pages	7
ISBN (Electronic)	9781538635933
DOIs	https://doi.org/10.1109/COASE.2018.8560400
State	Published - 4 Dec 2018
Event	14th IEEE International Conference on Automation Science and Engineering, CASE 2018 - Munich, Germany Duration: 20 Aug 2018 → 24 Aug 2018

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2018-August
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	14th IEEE International Conference on Automation Science and Engineering, CASE 2018
Country/Territory	Germany
City	Munich
Period	20/08/18 → 24/08/18

Access to Document

10.1109/COASE.2018.8560400

Cite this

Zou, M., Lu, B., & Vogel-Heuser, B. (2018). Resolving Inconsistencies Optimally in the Model-Based Development of Production Systems. In 2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018 (pp. 1064-1070). Article 8560400 (IEEE International Conference on Automation Science and Engineering; Vol. 2018-August). IEEE Computer Society. https://doi.org/10.1109/COASE.2018.8560400

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title = "Resolving Inconsistencies Optimally in the Model-Based Development of Production Systems",

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.",

author = "Minjie Zou and Boyang Lu and Birgit Vogel-Heuser",

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doi = "10.1109/COASE.2018.8560400",

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Zou, M, Lu, B & Vogel-Heuser, B 2018, Resolving Inconsistencies Optimally in the Model-Based Development of Production Systems. in 2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018., 8560400, IEEE International Conference on Automation Science and Engineering, vol. 2018-August, IEEE Computer Society, pp. 1064-1070, 14th IEEE International Conference on Automation Science and Engineering, CASE 2018, Munich, Germany, 20/08/18. https://doi.org/10.1109/COASE.2018.8560400

Resolving Inconsistencies Optimally in the Model-Based Development of Production Systems. / Zou, Minjie; Lu, Boyang; Vogel-Heuser, Birgit.
2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018. IEEE Computer Society, 2018. p. 1064-1070 8560400 (IEEE International Conference on Automation Science and Engineering; Vol. 2018-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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M3 - Conference contribution

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T3 - IEEE International Conference on Automation Science and Engineering

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

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