DocumentCode :
3191206
Title :
Mixed-Model Assembly Line Balancing Based on PSO-SA Alternate Algorithm
Author :
Sun Qiu-gao
Author_Institution :
Transp. Manage. Sch., Zhejiang Inst. of Commun., Hangzhou, China
Volume :
2
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
687
Lastpage :
690
Abstract :
According to the characteristic of the mixed-model assembly line balancing problem, the multi-objective optimization mathematical model is set up, PSO-SA alternate algorithm which is based on is Particle Swarm Optimization Algorithm and Simulated Annealing Algorithm is proposed to solve the MMALB problem. The result shows that the PSO-SA algorithm is better efficient on the search speed and solution accuracy, which ensures a higher assembly line balancing ratio and makes the work time more even among all stations. The PSO-SA algorithm for the mixed-model assembly line balancing is feasible and effective.
Keywords :
assembling; particle swarm optimisation; simulated annealing; MMALB problem; PSO-SA alternate algorithm; mixed model assembly line balancing; particle swarm optimization; simulated annealing algorithm; Assembly; Automation; Conference management; Genetic algorithms; Mathematical model; Particle swarm optimization; Production; Simulated annealing; Stochastic processes; Sun; PSO-SA alternate algorithm; balancing efficiency; encode and decode; mixed-model assembly line balancing; smoothing exponential;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.9
Filename :
5522663
Link To Document :
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