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An Algorithm and Computational Procedure for Locating Economic Facilities

Author

Listed:
  • Roger C. Vergin

    (Associate Professor of Business Administration, College of Business Administration, University of Washington, Seattle)

  • Jack D. Rogers

    (Associate Professor of Business Administration, School of Business Administration, University of California, Berkeley, California)

Abstract

The problem of locating economic facilities in such a manner as to minimize the cost of moving inputs from source points to the facilities and outputs from the facilities to subsequent destination points has had considerable attention in recent times. A wide and diverse variety of approaches which give reasonable but not necessarily optimal solutions to such problems has been suggested. This paper suggests a different approach to this familiar problem. For a single facility location problem, an algorithm is presented which produces optimal locations. For the case of locating several new facilities a computer search process is instituted which produces close to optimal locations.

Suggested Citation

  • Roger C. Vergin & Jack D. Rogers, 1967. "An Algorithm and Computational Procedure for Locating Economic Facilities," Management Science, INFORMS, vol. 13(6), pages 240-254, February.
    • Handle: RePEc:inm:ormnsc:v:13:y:1967:i:6:p:b240-b254
    DOI: 10.1287/mnsc.13.6.B240
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    Cited by:

    1. ReVelle, C. S. & Eiselt, H. A., 2005. "Location analysis: A synthesis and survey," European Journal of Operational Research, Elsevier, vol. 165(1), pages 1-19, August.
    2. Plastria, Frank, 2016. "How bad can the centroid be?," European Journal of Operational Research, Elsevier, vol. 252(1), pages 98-102.
    3. Murray, Alan T. & Church, Richard L. & Feng, Xin, 2020. "Single facility siting involving allocation decisions," European Journal of Operational Research, Elsevier, vol. 284(3), pages 834-846.
    4. Alain Schärlig, 1971. "La localisation optimale d'une entreprise," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 107(III), pages 599-611, September.

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