Paper Info
Title
Modelling Material Flow Using The Milk Run And Kanban Systems In The Automotive Industry
Abstract
Material flow management refers to the analysis and specific optimization of the inventory-production system. Material flow can be characterized as the organized flow of material in a production process with the required sequence determined by a technological procedure. TheMilk run systemassures the transportation of materials at the right time and in an optimal manner. It should be combined with the Kanban system to highlight when something is required in the production process. This paper presents biological swarm intelligence, in general, and a particular model, particle swarm optimization (PSO), for modelling material flow using aMilk run systemsupported by a Kanban system in the automotive industry. The aim of this study is to create a new model for the optimal number of trailers for one train and optimal number of containers in a tugger train system when the route time period has been defined. A new modified PSO approach for integrating inventory-production in a unique optimization model is used. The major modification to the original PSO is using the capacity of a container instead of a velocity component. Each new Kanban trigger is checked, and the total timing for theMilk rundelivery solution is calculated for the necessary raw material capacity for each shop floor.
Year
DOI
Venue
2021
10.1111/exsy.12546
EXPERT SYSTEMS
Keywords
DocType
Volume
Kanban, material flow, Milk run, particle swarm optimization
Journal
38
Issue
ISSN
Citations 
1
0266-4720
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Dragan Simic14012.78
Vasa Svircevic2275.65
Emilio Corchado32626210.70
José Luís Calvo-Rolle417541.67
Svetislav D. Simić500.34
Svetlana Simic64012.78