DocumentCode :
3471446
Title :
A Simulation Study of Logistics Activities in Mixed-model Assembly Lines with Genetic Algorithm
Author :
Liu, Wenping ; Jiang, Zhaoliang ; Wang, Guicong ; Li, Zhaoqian
Author_Institution :
Shandong Univ., Jinan
fYear :
2007
fDate :
18-21 Aug. 2007
Firstpage :
1041
Lastpage :
1046
Abstract :
Logistics activities in mixed-model assembly lines involve the material flow that depends heavily on the arrival sequence of products to be assembled in these lines. The main effort of this paper is to analyse how the arrival sequence of mixed models to a specific assembly line affects the logistics activities of the line, where a smoothly- and evenly- distributed material flow is desired. However, the uncertainty caused by the stochastic arrival sequence of customer orders in a make-to-order environment increases the complexity of logistics activities. Confronted with this uncertainty and complexity, we put the logistics activities into a more vivid and intuitive scenario by simulating the behaviour of materials. To begin with, the logistics activities occurring in a specific automobile assembly line is investigated. Secondly, a logistics simulation model of the assembly lines is built. Using the genetic algorithm toolbox embedded in Matlab7.0 package, we obtain subsequently an optimised model sequence that enables an evenly- distributed material flow. Finally, simulation results generated from Matlab7.0 Package are discussed.
Keywords :
assembling; automobile industry; genetic algorithms; logistics; automobile assembly; genetic algorithm; logistics activities; logistics simulation model; mixed-model assembly lines; Assembly; Automobiles; Automotive materials; Computer languages; Genetic algorithms; Logistics; Mathematical model; Packaging; Stochastic processes; Uncertainty; Assembly logistics; Genetic algorithm; Mixed-model assembly lines; Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
Type :
conf
DOI :
10.1109/ICAL.2007.4338721
Filename :
4338721
Link To Document :
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