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Optimierung der Auslastung eines Matrix- Montage-Systems durch Konzeptionierung und Implementierung eines Genetischen Algorithmus für Maschinenbelegungsplanung
Citation Link: https://doi.org/10.15480/882.3786
Publikationstyp
Book Part
Date Issued
2021-08-26
Sprache
German
Author(s)
Institut
TORE-DOI
Start Page
257
End Page
266
Citation
Simulation in Produktion und Logistik 2021 Jörg Franke & Peter Schuderer (Hrsg.) Cuvillier Verlag, Göttingen 2021. S. 257-266
Contribution to Conference
Publisher
Cuvillier
Individualization and an increasing number of variants confront manufacturing systems with new challenges. Due to their flexibility, matrix assembly systems have shown great potential to solve many resulting difficulties. However, the control of such production systems is very complex due to a large number of possible scheduling plans for the products to be manufactured. Decentralized agent controllers can route orders through the production system while also observing target values such as utilization maximization. However, a full utilization is unlikely, because there is no consideration of the whole system. In this article, a Genetic Algorithm is used to create a machine scheduling plan for a matrix assembly system. This an be used to implement a centralized control system that optimizes the production system as a whole in terms of utilization. Relationships between parameters of the algorithm and achievable workloads are to be established. The results for a ractical use case are evaluated and recommendations for further experiments are derived.
DDC Class
600: Technik
Publication version
publishedVersion
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9783736964792-p257_eBook.pdf
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1.06 MB
Format
Adobe PDF