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Metaheuristic procedures for the lexicographic bottleneck assembly line balancing problem

Author

Listed:
  • Rafael Pastor

    (Universitat Politècnica de Catalunya, Barcelona, Spain)

  • Alberto García-Villoria

    (Universitat Politècnica de Catalunya, Barcelona, Spain)

  • Manuel Laguna

    (University of Colorado at Boulder, Boulder, CO, USA)

  • Rafael Martí

    (Universitat de València, València, Spain)

Abstract

The goal of this work is to develop an improved procedure for the solution of the lexicographic bottleneck variant of the assembly line balancing problem (LB-ALBP). The objective of the LB-ALBP is to minimize the workload of the most heavily loaded workstation, followed by the workload of the second most heavily loaded workstation and so on. This problem—recently introduced to the literature (Pastor, 2011)—has practical relevance to manufacturing facilities. We design, implement and fine-tune GRASP, tabu search (TS) and scatter search (SS) heuristics for the LB-ALBP and show that our procedures are able to obtain solutions of a quality that outperforms previous approaches. We rely on both semi-greedy and memory-based designs that our experiments show to be effective. Experimental results verify the advantages of embedding such designs to improve the solution existing in the literature of this complex problem. Additionally, the extensive experimentation with 48 variants of GRASP, 12 of TS and 1 of SS establishes the benefits of adding enhanced search strategies to basic procedures.

Suggested Citation

  • Rafael Pastor & Alberto García-Villoria & Manuel Laguna & Rafael Martí, 2015. "Metaheuristic procedures for the lexicographic bottleneck assembly line balancing problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(11), pages 1815-1825, November.
  • Handle: RePEc:pal:jorsoc:v:66:y:2015:i:11:p:1815-1825
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    Citations

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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. Ibrahim Kucukkoc & Kadir Buyukozkan & Sule Itir Satoglu & David Z. Zhang, 2019. "A mathematical model and artificial bee colony algorithm for the lexicographic bottleneck mixed-model assembly line balancing problem," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2913-2925, December.
    3. Andreu-Casas, Enric & García-Villoria, Alberto & Pastor, Rafael, 2022. "Multi-manned assembly line balancing problem with dependent task times: a heuristic based on solving a partition problem with constraints," European Journal of Operational Research, Elsevier, vol. 302(1), pages 96-116.
    4. 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).

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