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A cost-oriented model for balancing mixed-model assembly lines with multi-manned workstations

Author

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  • Abolfazl Kazemi
  • Abdolhossein Sedighi

Abstract

In many real world assembly line systems which the work-piece is of large size more than one worker work on the same work-piece in each station. This type of assembly line is called multi-manned assembly line (MAL). In this paper, a cost-oriented approach is used to model the mixed model multi-manned assembly line balancing problem (MMALBP) with the aim of minimising total cost per production unit. A mathematical model is developed to solve the problem. Since the proposed model is NP-hard, a genetic algorithm (GA) and a particle swarm optimisation (PSO) algorithm are proposed to efficiently solve the problem. Parameters and operators of both algorithms are selected using the design of experiments (DOE) method. Several examples are solved to illustrate the proposed model and the algorithms.

Suggested Citation

  • Abolfazl Kazemi & Abdolhossein Sedighi, 2013. "A cost-oriented model for balancing mixed-model assembly lines with multi-manned workstations," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 16(3), pages 289-309.
    • Handle: RePEc:ids:ijsoma:v:16:y:2013:i:3:p:289-309
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    Citations

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    Cited by:

    1. Lopes, Thiago Cantos & Pastre, Giuliano Vidal & Michels, Adalberto Sato & Magatão, Leandro, 2020. "Flexible multi-manned assembly line balancing problem: Model, heuristic procedure, and lower bounds for line length minimization," Omega, Elsevier, vol. 95(C).
    2. 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.
    3. Talip Kellegöz, 2017. "Assembly line balancing problems with multi-manned stations: a new mathematical formulation and Gantt based heuristic method," Annals of Operations Research, Springer, vol. 253(1), pages 377-404, June.
    4. Michels, Adalberto Sato & Lopes, Thiago Cantos & Magatão, Leandro, 2020. "An exact method with decomposition techniques and combinatorial Benders’ cuts for the type-2 multi-manned assembly line balancing problem," Operations Research Perspectives, Elsevier, vol. 7(C).
    5. Murat Şahin & Talip Kellegöz, 2023. "Benders’ decomposition based exact solution method for multi-manned assembly line balancing problem with walking workers," Annals of Operations Research, Springer, vol. 321(1), pages 507-540, February.
    6. Michels, Adalberto Sato & Lopes, Thiago Cantos & Sikora, Celso Gustavo Stall & Magatão, Leandro, 2019. "A Benders’ decomposition algorithm with combinatorial cuts for the multi-manned assembly line balancing problem," European Journal of Operational Research, Elsevier, vol. 278(3), pages 796-808.

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