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Humans vs. Computer Algorithms for the Plant Layout Problem

Author

Listed:
  • Thomas W. Trybus

    (University of Illinois, Urbana)

  • Lewis D. Hopkins

    (University of Illinois, Urbana)

Abstract

An experiment with plant layout formulated as a quadratic assignment problem gave the following results: (1) The CRAFT algorithm does as well as human subjects in solving the plant layout problem; (2) CRAFT does better as problem size increases if the human subjects have no prior knowledge of the computer solution values; (3) there is no breakpoint in relative problem solving ability between humans and computers at 200% flow dominance (the coefficient of variation of the flow matrix expressed as a percent); (4) the point at which the computer becomes better, as opposed to equally good, is more clearly indicated by problem size than by flow dominance; (5) humans can solve problems with high flow dominance and problems with near-zero flow dominance better than they can solve problems with low flow dominance, though the computer is still at least as good across all levels of flow dominance.

Suggested Citation

  • Thomas W. Trybus & Lewis D. Hopkins, 1980. "Humans vs. Computer Algorithms for the Plant Layout Problem," Management Science, INFORMS, vol. 26(6), pages 570-574, June.
    • Handle: RePEc:inm:ormnsc:v:26:y:1980:i:6:p:570-574
    DOI: 10.1287/mnsc.26.6.570
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    Cited by:

    1. L D Hopkins, 1984. "Evaluation of Methods for Exploring Ill-Defined Problems," Environment and Planning B, , vol. 11(3), pages 339-348, September.

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