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An Efficient Algorithm for Balancing and Sequencing of Mixed Model Assembly Lines  

Kim Dong Mook (동신대학교 e-비지니스학과)
Kim Yong Ju (동신대학교 e-비지니스학과)
Lee keon Shang (동신대학교 컴퓨터학과)
Lee Nam Seok (동신대학교 컴퓨터학과)
Publication Information
Journal of the Korea Safety Management & Science / v.7, no.3, 2005 , pp. 85-96 More about this Journal
Abstract
This paper is concerned with the integrated problem of line balancing and model sequencing in mixed model assembly lines(MMALBS), which is important to efficient utilization of the lines. In the problem, we deal with the objective of minimizing the overall line length To apply the GAs to MMALBS problems, we suggest a GA representation which suitable for its problems, an efficient decoding technique for the objective, and genetic operators which produce feasible offsprings. Extensive experiments are carried out to analyze the performance of the proposed algorithm. The computational results show that our algorithm is promising in solution quality.
Keywords
MMALBS; MMAL; Genetic Algorithm; Line Balancing;
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