Design of Mixed-product line production system by multi-objective genetic algorithm

ReaKook Hwang, Hiroshi Katayama

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    There are two essential operations management problems in Mixed-product line, line balancing and product sequencing, which are tightly interrelated. To design of mixed-product line production system, hierarchical design procedure for line balancing and model sequencing is proposed. It is structured in terms of amelioration procedure. On the basis of our evolutionary algorithm, a genetic encoding procedure entitled Priority-based Multi-Chromosome (PMC) is proposed. It features a multi-functional chromosome and provides efficient representation of task assignment to workstations and model sequencing. The lean production perspective recognizes the U-shape assembly line system as more advanced and beneficial compared to the traditional straight line system. To assure the effectiveness of the proposed procedure, both straight and U-shape assembly lines are examined under two major performance criteria, i.e. number of workstations (or line efficiency) as static criterion and variance of workload (line and models) as dynamic criterion. The results of simulation experiments suggest that the proposed procedure is an effective management tool of mixed-model assembly line system.

    Original languageEnglish
    Title of host publicationCOMADEM 2010 - Advances in Maintenance and Condition Diagnosis Technologies Towards Sustainable Society, Proc. 23rd Int. Congr. Condition Monitoring and Diagnostic Engineering Management
    Pages897-904
    Number of pages8
    Publication statusPublished - 2010
    Event23rd International Congress on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2010 - Nara
    Duration: 2010 Jun 282010 Jul 2

    Other

    Other23rd International Congress on Condition Monitoring and Diagnostic Engineering Management, COMADEM 2010
    CityNara
    Period10/6/2810/7/2

    Keywords

    • Genetic algorithm
    • Line balancing
    • Mixed-product lines
    • Priority-based Multi-Chromosome
    • Product sequencing

    ASJC Scopus subject areas

    • Renewable Energy, Sustainability and the Environment
    • Management, Monitoring, Policy and Law

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  • Cite this

    Hwang, R., & Katayama, H. (2010). Design of Mixed-product line production system by multi-objective genetic algorithm. In COMADEM 2010 - Advances in Maintenance and Condition Diagnosis Technologies Towards Sustainable Society, Proc. 23rd Int. Congr. Condition Monitoring and Diagnostic Engineering Management (pp. 897-904)