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Decentralized Multi-Agent Production Control through Economic Model Bidding for Matrix Production Systems

May, Marvin Carl; Kiefer, Lars; Kuhnle, Andreas; Stricker, Nicole; Lanza, Gisela

Due to increasing demand for unique products, large variety in product portfolios and the associated rise in individualization, the efficient use of resources in traditional line production dwindles. One answer to these new challenges is the application of matrix-shaped layouts with multiple production cells, called Matrix Production Systems. The cycle time independence and redundancy of production cell capabilities within a Matrix Production System enable individual production paths per job for Flexible Mass Customisation. However, the increased degrees of freedom strengthen the need for reliable production control systems compared to traditional production systems such as line production. Beyond reliability a need for intelligent production within a smart factory in order to ensure goal-oriented production control under ever-changing manufacturing conditions can be ascertained. Learning-based methods can leverage condition-based reactions for goal-oriented production control.
While centralized control performs well in single-objective situations, it is hard to achieve contradictory targets for individual products or resources. Hence, in order to master these challenges, a production control concept based on a decentralized multi-agent bidding system is presented. ... mehr

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Verlagsausgabe §
DOI: 10.5445/IR/1000129694
Veröffentlicht am 16.02.2021
DOI: 10.1016/j.procir.2021.01.043
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktionstechnik (WBK)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 10.02.2021
Sprache Englisch
Identifikator ISSN: 2212-8271
KITopen-ID: 1000129694
Erschienen in Procedia CIRP
Verlag Elsevier
Band 96
Seiten 3–8
Projektinformation DIGIMAN4.0 (EU, H2020, 814225)
Schlagwörter Production Planning and Control, Multi-Agent System, Production Control, Matrix Production System,
Nachgewiesen in Dimensions
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