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Uniform workload assignments for assembly line by GA-based amelioration approach

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2010年第7期48卷 1857-1871页

作者： Hwang, ReaKook Katayama, Hiroshi Waseda Univ Dept Ind & Management Syst Engn Sch Creat Sci & Engn Tokyo Japan

This paper presents an amelioration structure with genetic algorithms to improve the variation of workload on assembly line production systems. As a consequence of introducing the just-in-time (JIT) production principle, it has been recognised that U-shaped assembly line systems offer several benefits over the traditional straight line systems. We consider both the traditional straight line system and the U-shaped assembly line system, thus as an unbiased examination of line efficiency. The performance criteria considered are the number of workstations (the line efficiency) and the variation of workload. The results of experiments show that the proposed an amelioration structure produced optimal line efficiency of workstation integration and improved the variation of workload.

关键词： U-shaped assembly line genetic algorithm priority-based coding

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U-shaped assembly line balancing problem with genetic algorithm

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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2008年第16期46卷 4637-4649页

作者： Hwang, Rea Kook Katayama, Hiroshi Gen, Mitsuo Waseda Univ Grad Sch Sci & Engn Shinjuku Ward Tokyo 1690072 Japan Waseda Univ Grad Sch Informat Prod & Syst Wakamatsu Ku Fukuoka 8080135 Japan

This paper presents a multi-objective genetic algorithm (moGA) to solve the U-shaped assembly line balancing problem (UALBP). As a consequence of introducing the just-in-time (JIT) production principle, it has been recognized that U-shaped assembly line systems offer several benefits over the traditional straight line systems. We consider both the traditional straight line system and the U-shaped assembly line system, thus as an unbiased examination of line efficiency. The performance criteria considered are the number of workstations (the line efficiency) and the variation of workload. The results of experiments show that the proposed model produced as good or even better line efficiency of workstation integration and improved the variation of workload.

关键词： U-shaped assembly line multi-objective genetic algorithm priority-based coding

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