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Solution procedures for the dynamic facility layout problem

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  • Timothy Urban

Abstract

Existing optimal solution procedures for the dynamic facility layout problem require the repeated solution of quadratic assignment problems within the framework of a dynamic program. The computational requirements for this problem necessitate the development of efficient algorithms for special cases of the problem and strong bounds for the general case of the problem. The concept of incomplete dynamic programming is applied to the dynamic facility layout problem to find the optimal solution to the problem with fixed rearrangement costs at exceptionally reduced solution times. Heuristics are also developed to provide a solution methodology for larger problems. A lower bound is developed for the general problem that dominates all existing bounds, and it is shown how the bound can be used as an initial test for optimality before the dynamic program is solved. Finally, the incomplete dynamic programming methodology is extended to find an upper bound for the general problem that dominates all previous bounds. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • Timothy Urban, 1998. "Solution procedures for the dynamic facility layout problem," Annals of Operations Research, Springer, vol. 76(0), pages 323-342, January.
    • Handle: RePEc:spr:annopr:v:76:y:1998:i:0:p:323-342:10.1023/a:1018904806854
    DOI: 10.1023/A:1018904806854
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    Cited by:

    1. 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.
    2. Saif Benjaafar & Sunderesh S. Heragu & Shahrukh A. Irani, 2002. "Next Generation Factory Layouts: Research Challenges and Recent Progress," Interfaces, INFORMS, vol. 32(6), pages 58-76, December.
    3. Loiola, Eliane Maria & de Abreu, Nair Maria Maia & Boaventura-Netto, Paulo Oswaldo & Hahn, Peter & Querido, Tania, 2007. "A survey for the quadratic assignment problem," European Journal of Operational Research, Elsevier, vol. 176(2), pages 657-690, January.
    4. T. G. Pradeepmon & Vinay V. Panicker & R. Sridharan, 2021. "A variable neighbourhood search enhanced estimation of distribution algorithm for quadratic assignment problems," OPSEARCH, Springer;Operational Research Society of India, vol. 58(1), pages 203-233, March.
    5. Kuldeep Lamba & Ravi Kumar & Shraddha Mishra & Shubhangini Rajput, 2020. "Sustainable dynamic cellular facility layout: a solution approach using simulated annealing-based meta-heuristic," Annals of Operations Research, Springer, vol. 290(1), pages 5-26, July.

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