Paper Title:
Study on Stochastic Assembly Line Balancing Based on Improved Particle Swarm Optimization Algorithm
  Abstract

Focusing on a particular assembly line balancing problem of which the task time is a stochastic variable, a stochastic model is established, which aimed at maximization of assembly line balancing rate, completed probability and smoothness index. Simultaneously, an improved particle swarm optimization algorithm is proposed to solve this problem and a reasonable chromosome coding method which effectively prevent to generate infeasible solution is designed. For this reason, the algorithm convergence rate could be improved. At last, rear axle assembly line balancing designs of an automotive part company is taken to test validity of algorithm. Availability of the algorithm is verified by this example.

  Info
Periodical
Edited by
Han Zhao
Pages
3870-3874
DOI
10.4028/www.scientific.net/AMM.130-134.3870
Citation
H. B. Zhu, F. Yu, Y. Xi, L. Wang, J. Zhang, "Study on Stochastic Assembly Line Balancing Based on Improved Particle Swarm Optimization Algorithm", Applied Mechanics and Materials, Vols. 130-134, pp. 3870-3874, 2012
Online since
October 2011
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