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