Research on the Problem of MC Assembly Line Balancing Based on Genetic Algorithm


Article Preview

Through the comparative analysis, the features of the mass customization assembly line are obtained. The corresponding genetic algorithm is designed with the total idle time and overloading time of the minimized assembly line as the target function, which is used to resolve the distribution problems of the operation elements in mass customization assembly line. The improved genetic operators can heighten the overall optimal solution ability of genetic algorithm convergence. The calculated examples indicate that this algorithm is the effective method for seeking out solution to the problems of operation elements in the mass customization assembly line.



Materials Science Forum (Volumes 532-533)

Edited by:

Chengyu Jiang, Geng Liu, Dinghua Zhang and Xipeng Xu




S. L. Yang and W. P. Huang, "Research on the Problem of MC Assembly Line Balancing Based on Genetic Algorithm", Materials Science Forum, Vols. 532-533, pp. 1076-1079, 2006

Online since:

December 2006




[1] A.S. Simaria and P.M. Vilarinho: Computers & Industrial Engineering, Vols. 391-407 (2004).

[2] R. Sh. Chen, K.Y. Lu and Sh. Ch. Yu: Eng. Appl. of Artificial Intelligence, (2002), pp.447-457.

[3] H.M. Song and Y.Q. Han: Operational Research & Management, (2002), pp.69-76.

[4] Y.K. Kim, J.Y. Kim and Y. Kim: Applied Intelligence, (2000), pp.247-258.

[4] [9] [3] [1] [7] [5] [6] [12] [10] [11] [13] [14] [17] [16] [19] [18] [2] [8] 15.