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Solving unequal-area static and dynamic facility layout problems using modified particle swarm optimization

Author

Listed:
  • Ali Derakhshan Asl

    (Universiti Teknologi Malaysia)

  • Kuan Yew Wong

    (Universiti Teknologi Malaysia)

Abstract

Facility layout problems deal with layout of facilities or departments in a shop floor. This article studies unequal-area static facility layout problems in order to minimize the sum of the material handling costs and unequal-area dynamic facility layout problems so as to minimize the sum of the material handling costs and rearrangement costs. Unequal-area static and dynamic facility layout problems are NP-hard. Therefore, a modified particle swarm optimization was suggested to solve them where the departments have fixed shapes and areas throughout the time horizon. The modified particle swarm optimization was tested using the available problem instances chosen from the literature. The proposed algorithm applied two local search methods and the department swapping method to improve the quality of solutions and to prevent local optima for dynamic and static problems. It also utilized the period swapping method to improve the solutions for dynamic problems. The results showed that the proposed algorithm has created encouraging layouts in comparison with other approaches.

Suggested Citation

  • Ali Derakhshan Asl & Kuan Yew Wong, 2017. "Solving unequal-area static and dynamic facility layout problems using modified particle swarm optimization," Journal of Intelligent Manufacturing, Springer, vol. 28(6), pages 1317-1336, August.
    • Handle: RePEc:spr:joinma:v:28:y:2017:i:6:d:10.1007_s10845-015-1053-5
    DOI: 10.1007/s10845-015-1053-5
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    References listed on IDEAS

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    1. Heragu, Sunderesh S. & Kusiak, Andrew, 1991. "Efficient models for the facility layout problem," European Journal of Operational Research, Elsevier, vol. 53(1), pages 1-13, July.
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    4. McKendall Jr., Alan R. & Hakobyan, Artak, 2010. "Heuristics for the dynamic facility layout problem with unequal-area departments," European Journal of Operational Research, Elsevier, vol. 201(1), pages 171-182, February.
    5. Yang, Taho & Peters, Brett A., 1998. "Flexible machine layout design for dynamic and uncertain production environments," European Journal of Operational Research, Elsevier, vol. 108(1), pages 49-64, July.
    6. Dunker, Thomas & Radons, Gunter & Westkamper, Engelbert, 2005. "Combining evolutionary computation and dynamic programming for solving a dynamic facility layout problem," European Journal of Operational Research, Elsevier, vol. 165(1), pages 55-69, August.
    7. Meir J. Rosenblatt, 1986. "The Dynamics of Plant Layout," Management Science, INFORMS, vol. 32(1), pages 76-86, January.
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    Cited by:

    1. Raghav Prasad Parouha & Pooja Verma, 2022. "An innovative hybrid algorithm for bound-unconstrained optimization problems and applications," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1273-1336, June.
    2. Wang, Ruiqi & Zhao, Huan & Wu, Yan & Wang, Yufei & Feng, Xiao & Liu, Mengxi, 2018. "An industrial facility layout design method considering energy saving based on surplus rectangle fill algorithm," Energy, Elsevier, vol. 158(C), pages 1038-1051.
    3. Mariem Besbes & Marc Zolghadri & Roberta Costa Affonso & Faouzi Masmoudi & Mohamed Haddar, 2021. "3D facility layout problem," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1065-1090, April.

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