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A multi-objective genetic algorithm for assembly line resource assignment and balancing problem of type 2 (ALRABP-2)

Author

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  • Hager Triki

    (University of Sfax)

  • Ahmed Mellouli

    (University of Sousse)

  • Faouzi Masmoudi

    (University of Sfax)

Abstract

This paper presents a new extension of SALBP-2, so called assembly line resource assignment and balancing problem of type 2 (ALRABP-2). Two main differences from the existing literature are revealed in this work. The first is on the objective function which is a multiple one. It is aimed here to minimize both the cycle time and the cost per time unit (hour) of a line for a fixed number of stations to satisfy the constraints of precedence between tasks and compatibility between resources. The second difference lies in the proposed method to solve this problem. A new version of multi-objective genetic algorithm (MOGA) called hybrid MOGA (HMOGA) is elaborated. Full experiment design is used to obtain a better MOGA parameters combination. The effectiveness of the HMOGA was assessed through a set of literature problems. The performance of HMOGA shows a good quality of the fronts generated and a better problem-solving capacity for two optimisations.

Suggested Citation

  • Hager Triki & Ahmed Mellouli & Faouzi Masmoudi, 2017. "A multi-objective genetic algorithm for assembly line resource assignment and balancing problem of type 2 (ALRABP-2)," Journal of Intelligent Manufacturing, Springer, vol. 28(2), pages 371-385, February.
    • Handle: RePEc:spr:joinma:v:28:y:2017:i:2:d:10.1007_s10845-014-0984-6
    DOI: 10.1007/s10845-014-0984-6
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    References listed on IDEAS

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    1. Allan L. Gutjahr & George L. Nemhauser, 1964. "An Algorithm for the Line Balancing Problem," Management Science, INFORMS, vol. 11(2), pages 308-315, November.
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    7. Scholl, Armin & Becker, Christian, 2006. "State-of-the-art exact and heuristic solution procedures for simple assembly line balancing," European Journal of Operational Research, Elsevier, vol. 168(3), pages 666-693, February.
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    Cited by:

    1. Boysen, Nils & Schulze, Philipp & Scholl, Armin, 2022. "Assembly line balancing: What happened in the last fifteen years?," European Journal of Operational Research, Elsevier, vol. 301(3), pages 797-814.
    2. Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).
    3. Jianxin Zhou & Hu Ye & Xiaoyuan Ji & Weilin Deng, 2019. "An improved backtracking search algorithm for casting heat treatment charge plan problem," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1335-1350, March.

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