Paper Info
Title
Material Flow Optimization Using Milk Run System in Automotive Industry.
Abstract
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.
Year
DOI
Venue
2019
10.1007/978-3-030-20055-8_39
14TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2019)
Keywords
Field
DocType
Milk run,Material flow,Particle swarm optimization
Particle swarm optimization,Mathematical optimization,Industrial engineering,Computer science,Swarm intelligence,Flow (psychology),Scheduling (production processes),Material flow,Milk run,Automotive industry
Conference
Volume
ISSN
Citations 
950
2194-5357
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Dragan Simic14012.78
Vasa Svircevic2275.65
Vladimir Ilin332.52
Svetislav Simic424.13
Svetlana Simic54012.78