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The Facilities Layout Problem in Perspective

Author

Listed:
  • Thomas E. Vollmann

    (Amos Tuck School of Business Administration, Dartmouth College)

  • Elwood S. Buffa

    (Graduate School of Business Administration, University of California, Los Angeles)

Abstract

The relative location of facilities in a functional layout has been determined under the criterion of materials handling cost minimization. Recent advances in analytical methods have provided superior solutions within this criterion hut the validity of certain underlying assumptions must be questioned. Materials handling as a criterion is deficient for many facilities layout problems; yet a modified definition of "materials" may yield considerable insight to the improved location of people. Each layout problem is made unique by its particular assumptions, constraints, limitations, and the intrinsic activity of the components; a guide to establishing this uniqueness and to selecting appropriate tool3 for analysis is presented.

Suggested Citation

  • Thomas E. Vollmann & Elwood S. Buffa, 1966. "The Facilities Layout Problem in Perspective," Management Science, INFORMS, vol. 12(10), pages 450-468, June.
    • Handle: RePEc:inm:ormnsc:v:12:y:1966:i:10:p:b450-b468
    DOI: 10.1287/mnsc.12.10.B450
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    Cited by:

    1. Jerzy Grobelny & Rafał Michalski, 2020. "Effects of scatter plot initial solutions on regular grid facility layout algorithms in typical production models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(2), pages 601-632, June.
    2. Bolte, Andreas & Thonemann, Ulrich Wilhelm, 1996. "Optimizing simulated annealing schedules with genetic programming," European Journal of Operational Research, Elsevier, vol. 92(2), pages 402-416, July.
    3. Taillard, Eric D. & Gambardella, Luca M. & Gendreau, Michel & Potvin, Jean-Yves, 2001. "Adaptive memory programming: A unified view of metaheuristics," European Journal of Operational Research, Elsevier, vol. 135(1), pages 1-16, November.
    4. Krokhmal, Pavlo A. & Pardalos, Panos M., 2009. "Random assignment problems," European Journal of Operational Research, Elsevier, vol. 194(1), pages 1-17, April.
    5. Iain Dunning & Swati Gupta & John Silberholz, 2018. "What Works Best When? A Systematic Evaluation of Heuristics for Max-Cut and QUBO," INFORMS Journal on Computing, INFORMS, vol. 30(3), pages 608-624, August.
    6. Solimanpur, M. & Vrat, P. & Shankar, R., 2004. "Ant colony optimization algorithm to the inter-cell layout problem in cellular manufacturing," European Journal of Operational Research, Elsevier, vol. 157(3), pages 592-606, September.

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