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Designing decision-making authorities for smart factories

 
: Antons, Oliver; Arlinghaus, Julia C.

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Volltext urn:nbn:de:0011-n-6305589 (666 KByte PDF)
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Erstellt am: 2.3.2021


Procedia CIRP 93 (2020), S.316-322
ISSN: 2212-8271
Conference on Manufacturing Systems (CMS) <53, 2020, Online>
Englisch
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
Fraunhofer IFF ()
distributed control; smart factory; autonomy; decision-making; discrete-event simulation; multi-agent system; intelligent product; cyber-physical system; industry 4.0

Abstract
Smart factories are an appealing vision, addressing ever increasing challenges in industry. Driven by advances in microcontroller, sensor and networking technologies, all entities, such as machines, products, load carriers, within a smart factory could become intelligent and able to assess their own situation and to attain their own goals successfully. However, local decision may exacerbate achieving global logistics performance due to the entities intrinsic selfishness. In this paper, we explore the trade-off between local decision-making and global performance management and derive first guidelines for the situation-specific design of a distributed control authority for smart factories.

: http://publica.fraunhofer.de/dokumente/N-630558.html