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Comparison of Computer Algorithms and Visual Based Methods for Plant Layout

Author

Listed:
  • Michael Scriabin

    (Simon Fraser University)

  • Roger C. Vergin

    (Simon Fraser University)

Abstract

Increasing emphasis on the reduction of materials handling costs in the modern plant has led to research into new methods of planning the process type layout in such a way as to minimize these costs. This project compares the performances of three highly rated computer algorithms prescribed for the solution of the plant layout problem with the performances of selected human subjects using the manual and visual methods still used and recommended by industrial engineers for plant layout design. The objective of this comparison is to determine whether there is in fact an advantage to using one of the available computer programs to solve the problem, instead of designing the layout by traditional visual-based methods. These tests, performed under the control of a computer system which accurately recorded the solutions achieved by each subject, show not only that the computer algorithms do not perform better than selected human subjects in the design of plant layouts, but that the human subjects, without the benefit of any prescriptive help from a computer, actually achieve layouts which are stochastically better than those produced by the computer programs.

Suggested Citation

  • Michael Scriabin & Roger C. Vergin, 1975. "Comparison of Computer Algorithms and Visual Based Methods for Plant Layout," Management Science, INFORMS, vol. 22(2), pages 172-181, October.
    • Handle: RePEc:inm:ormnsc:v:22:y:1975:i:2:p:172-181
    DOI: 10.1287/mnsc.22.2.172
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    File URL: http://dx.doi.org/10.1287/mnsc.22.2.172
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    Cited by:

    1. 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.
    2. Jean-Paul Arnaout & Caline ElKhoury & Gamze Karayaz, 2020. "Solving the multiple level warehouse layout problem using ant colony optimization," Operational Research, Springer, vol. 20(1), pages 473-490, March.
    3. Jean-Paul Arnaout, 2018. "Worm optimization for the multiple level warehouse layout problem," Annals of Operations Research, Springer, vol. 269(1), pages 29-51, October.
    4. Miu-ling Rosa, Lee & Feiring, Bruce R., 1995. "Layout problem for an aircraft maintenance company tool room," International Journal of Production Economics, Elsevier, vol. 40(2-3), pages 219-230, August.
    5. Mans, Bernard & Mautor, Thierry & Roucairol, Catherine, 1995. "A parallel depth first search branch and bound algorithm for the quadratic assignment problem," European Journal of Operational Research, Elsevier, vol. 81(3), pages 617-628, March.
    6. Miguel F. Anjos & Anthony Vannelli, 2006. "A New Mathematical-Programming Framework for Facility-Layout Design," INFORMS Journal on Computing, INFORMS, vol. 18(1), pages 111-118, February.
    7. Jankovits, Ibolya & Luo, Chaomin & Anjos, Miguel F. & Vannelli, Anthony, 2011. "A convex optimisation framework for the unequal-areas facility layout problem," European Journal of Operational Research, Elsevier, vol. 214(2), pages 199-215, October.
    8. R Sharpe & B S Marksjö, 1985. "Facility Layout Optimization Using the Metropolis Algorithm," Environment and Planning B, , vol. 12(4), pages 443-453, December.
    9. Mouhamadou A. M. T. Baldé & Serigne Gueye & Babacar M. Ndiaye, 2021. "A greedy evolutionary hybridization algorithm for the optimal network and quadratic assignment problem," Operational Research, Springer, vol. 21(3), pages 1663-1690, September.

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