Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/10
Title: | Material Flow Optimization Using Milk Run System in Automotive Industry | Authors: | Simić, Dragan Svirčević V. Ilin, Vladimir Simić, Maja Simić, Maja |
Issue Date: | 1-Jan-2020 | Journal: | Advances in Intelligent Systems and Computing | Abstract: | © 2020, Springer Nature Switzerland AG. Material flow can be characterized as an organized flow of material in the production process with the required sequence determined by the technological procedure. This paper presents biological swarm intelligence in general, and, particle swarm optimization for modelling material flow optimization using milk run system in production system of automotive industry. The aim of this research is to create model to optimize route period and number of trails for one train considering layout and space constraints. | URI: | https://open.uns.ac.rs/handle/123456789/10 | ISBN: | 9783030200541 | ISSN: | 21945357 | DOI: | 10.1007/978-3-030-20055-8_39 |
Appears in Collections: | FTN Publikacije/Publications |
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