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Concept of a Multi-Agent System for Optimised and Automated Engineering Change Implementation

Published online by Cambridge University Press:  26 May 2022

O. Radisic-Aberger ,
T. Weisser ,
T. Saßmannshausen ,
J. Wagner  and
P. Burggräf
O. Radisic-Aberger*
Affiliation:
University of Siegen, Germany
T. Weisser
Affiliation:
University of Siegen, Germany
T. Saßmannshausen
Affiliation:
University of Siegen, Germany
J. Wagner
Affiliation:
University of Siegen, Germany
P. Burggräf
Affiliation:
University of Siegen, Germany
*
ognjen.radisic@uni-siegen.de

Abstract

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Engineering changes are necessary to stay competitive, unavoidable and occur more frequently with increased product complexity. Currently, scheduling of engineering changes into production and supply chain is a manual process. With new possibilities in the field of artificial intelligence, this publication presents the vision of a flexible multi-agent system with four agents and a single shared database. By autonomously scheduling changes and predicting KPI impacts of implementation dates, the agent-system provides additional capacity and decision-making support to the organisation.

Keywords

engineering changeartificial intelligence (AI)change managementmulti-agent systems
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 1689 - 1698
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2022.

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