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Unidirectional Loop Network Layout Problem in Automated Manufacturing Systems

Author

Listed:
  • Panagiotis Kouvelis

    (Duke University, Durham, North Carolina)

  • Michael W. Kim

    (University of California, Riverside, California)

Abstract

In this paper, we address the design of unidirectional loop network layouts for automated manufacturing environments. We show that the problem is NP-complete. Using a workstation interchange argument, we develop dominance relationships for easy identification of local optimal solutions. Our results suggest the need for simple heuristics to solve the problem. We identify cases in which the heuristics perform optimally, and we analyze the worst case behavior of the heuristics. We develop an optimal branch-and-bound procedure that is computationally efficient for medium-sized problems. We also present a decomposition principle helpful for dealing with large workflow matrices. We report computational results on the heuristics and the branch-and-bound procedure. We show that one of the heuristics performs impressively well in terms of solution quality and computational time requirements.

Suggested Citation

  • Panagiotis Kouvelis & Michael W. Kim, 1992. "Unidirectional Loop Network Layout Problem in Automated Manufacturing Systems," Operations Research, INFORMS, vol. 40(3), pages 533-550, June.
    • Handle: RePEc:inm:oropre:v:40:y:1992:i:3:p:533-550
    DOI: 10.1287/opre.40.3.533
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    Citations

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    Cited by:

    1. Potts, C. N. & Whitehead, J. D., 2001. "Workload balancing and loop layout in the design of a flexible manufacturing system," European Journal of Operational Research, Elsevier, vol. 129(2), pages 326-336, March.
    2. Öncan, Temel & AltInel, I. Kuban, 2008. "Exact solution procedures for the balanced unidirectional cyclic layout problem," European Journal of Operational Research, Elsevier, vol. 189(3), pages 609-623, September.
    3. Lee, Shine-Der & Chiang, Chih-Ping, 2002. "Cell formations in the uni-directional loop material handling environment," European Journal of Operational Research, Elsevier, vol. 137(2), pages 401-420, March.
    4. Gintaras Palubeckis, 2020. "An Approach Integrating Simulated Annealing and Variable Neighborhood Search for the Bidirectional Loop Layout Problem," Mathematics, MDPI, vol. 9(1), pages 1-30, December.
    5. Asef-Vaziri, Ardavan & Laporte, Gilbert, 2005. "Loop based facility planning and material handling," European Journal of Operational Research, Elsevier, vol. 164(1), pages 1-11, July.
    6. Kim, Kap Hwan, 1995. "Positioning of automated guided vehicles in a loop layout to minimize the mean vehicle response time," International Journal of Production Economics, Elsevier, vol. 39(3), pages 201-214, May.
    7. Tansel, Barbaros C. & Bilen, Canan, 1998. "Move based heuristics for the unidirectional loop network layout problem," European Journal of Operational Research, Elsevier, vol. 108(1), pages 36-48, July.
    8. Vis, Iris F.A., 2006. "Survey of research in the design and control of automated guided vehicle systems," European Journal of Operational Research, Elsevier, vol. 170(3), pages 677-709, May.
    9. Mariem Besbes & Marc Zolghadri & Roberta Costa Affonso & Faouzi Masmoudi & Mohamed Haddar, 2020. "A methodology for solving facility layout problem considering barriers: genetic algorithm coupled with A* search," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 615-640, March.

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