Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/10
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dc.contributor.authorSimić, Draganen
dc.contributor.authorSvirčević V.en
dc.contributor.authorIlin, Vladimiren
dc.contributor.authorSimić, Majaen
dc.contributor.authorSimić, Majaen
dc.date.accessioned2019-09-23T10:02:23Z-
dc.date.available2019-09-23T10:02:23Z-
dc.date.issued2020-01-01en
dc.identifier.isbn9783030200541en
dc.identifier.issn21945357en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/10-
dc.description.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.en
dc.relation.ispartofAdvances in Intelligent Systems and Computingen
dc.titleMaterial Flow Optimization Using Milk Run System in Automotive Industryen
dc.typeConference Paperen
dc.identifier.doi10.1007/978-3-030-20055-8_39en
dc.identifier.scopus2-s2.0-85065918721en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85065918721en
dc.relation.lastpage421en
dc.relation.firstpage411en
dc.relation.volume950en
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFakultet tehničkih nauka, Departman za saobraćaj-
crisitem.author.deptFakultet tehničkih nauka, Departman za saobraćaj-
crisitem.author.parentorgFakultet tehničkih nauka-
crisitem.author.parentorgFakultet tehničkih nauka-
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