Complexity Space Modelling for Industrial Manufacturing Systems

Freund, Lucas, Al-Majeed, Salah and Millard, Alan (2021) Complexity Space Modelling for Industrial Manufacturing Systems. International Journal of Computing and Digital Systems . ISSN 2210-142X

Full content URL: https://journal.uob.edu.bh:443/handle/123456789/43...

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Complexity Space Modelling for Industrial Manufacturing Systems
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Abstract

The static and dynamic complexity of an industrial engineered system are integrated in a complexity space modelling approach, where information complexity boundaries expand over time and serve as an indicator for system instability in a static complexity space. In a first step, model-based static and dynamic conceptions of complexity are introduced and described. The necessary capabilities are theoretically demonstrated, alongside a set of assumptions concerning the behavior of industrial system complexity and its functions as a core foundation for the proposed complexity space model. In a second step, the successful application of the proposed modelling approach on a real-world industrial system is presented. Case study results are briefly presented and discussed as a first proof of concept for the general applicability of the proposed modelling approach for current and future industrial systems. In a final step a short research outlook is provided.

Keywords:complexity, modelling, industrial manufacturing system, system analysis
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
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ID Code:46666
Deposited On:24 Sep 2021 14:29

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