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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