Beam Search Techniques for Mixed Model Assembly Line Sequencing - Gocgun, Yasin
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We study the mixed-model assembly line sequencing problem that considers the following objectives: 1) leveling the part usage, and 2) leveling workload on the final assembly line. We propose Beam Search algorithms for this problem. Unlike the traditional Beam Search, the proposed algorithms have information exchange and backtracking capabilities. The performances of the proposed algorithms are compared with those of the heuristics in the literature. The results indicate that the proposed methods generally outperform the existing heuristics. A comprehensive bibliography is also provided in this study.…mehr

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Produktbeschreibung
We study the mixed-model assembly line sequencing problem that considers the following objectives: 1) leveling the part usage, and 2) leveling workload on the final assembly line. We propose Beam Search algorithms for this problem. Unlike the traditional Beam Search, the proposed algorithms have information exchange and backtracking capabilities. The performances of the proposed algorithms are compared with those of the heuristics in the literature. The results indicate that the proposed methods generally outperform the existing heuristics. A comprehensive bibliography is also provided in this study.
Autorenporträt
Yasin Gocgun earned his B.S. degree in industrial engineering from Bilkent University in Turkey in 2003. He earned his M.S. degree in industrial engineering from the same university in 2005. Dr. Gocgun earned his Ph.D. degree in industrial engineering from the University of Washington in 2010.