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The Multiple Criteria Location Problem: 2. Preference-Based Techniques and Interactive Decision Support

Author

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  • J Malczewski

    (Department of Geography, The University of Western Ontario, London N6A 5C2, Canada)

  • W Ogryczak

    (Department of Mathematics, Université Libre de Bruxelles, 1050 Brussels, Belgium)

Abstract

This is the second of two papers in which multiple criteria location problems (MCLPs) are discussed. In this paper two major approaches to locational decisionmaking are overviewed: optimizing decision rules (utility-function-based methods) and satisficing decision rules (goal-programming methods). Their advantages and disadvantages are discussed. From these two concepts a quasi-satisficing decision rule is developed and operationalized through a reference point method. A framework for an interactive decision support system (DSS) for tackling MCLPs is proposed. The system integrates a network model with the quasi-satisficing approach. It is argued that the DSS data and analytical components can be effectively integrated by means of the interactive decision support concept that involves a feedback exchange of information between a decisionmaker and a computer-based support system. This concept allows for the exploration of the locational decision problem and the alternative solutions both in decision space and in criterion outcome space.

Suggested Citation

  • J Malczewski & W Ogryczak, 1996. "The Multiple Criteria Location Problem: 2. Preference-Based Techniques and Interactive Decision Support," Environment and Planning A, , vol. 28(1), pages 69-98, January.
  • Handle: RePEc:sae:envira:v:28:y:1996:i:1:p:69-98
    DOI: 10.1068/a280069
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    References listed on IDEAS

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    2. Marc J. Schniederjans & N. K. Kwak & Mark C. Helmer, 1982. "An Application of Goal Programming to Resolve a Site Location Problem," Interfaces, INFORMS, vol. 12(3), pages 65-72, June.
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    4. Sinha, S. B. & Sastry, S. V. C., 1987. "A goal programming model for facility location planning," Socio-Economic Planning Sciences, Elsevier, vol. 21(4), pages 251-255.
    5. Min, Hokey, 1987. "A multiobjective retail service location model for fastfood restaurants," Omega, Elsevier, vol. 15(5), pages 429-441.
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    Cited by:

    1. Malczewski, Jacek & Jackson, Marlene, 2000. "Multicriteria spatial allocation of educational resources: an overview," Socio-Economic Planning Sciences, Elsevier, vol. 34(3), pages 219-235, September.
    2. Amin Akbari & Ronald Pelot & H. A. Eiselt, 2018. "A modular capacitated multi-objective model for locating maritime search and rescue vessels," Annals of Operations Research, Springer, vol. 267(1), pages 3-28, August.
    3. H. Murat Çelik & Ersin Türk, 2010. "Determination of Optimum Environmental Conservation: Using Multi-Criteria Decision-Making Techniques," European Planning Studies, Taylor & Francis Journals, vol. 19(3), pages 479-499, March.
    4. Kayode J. Samuel, 2010. "Infrastructure Location," Journal of Infrastructure Development, India Development Foundation, vol. 2(1), pages 71-90, June.
    5. David Kik & Matthias Gerhard Wichmann & Thomas Stefan Spengler, 2022. "Decision support framework for the regional facility location and development planning problem," Journal of Business Economics, Springer, vol. 92(1), pages 115-157, January.
    6. Włodzimierz Ogryczak, 2010. "Conditional median as a robust solution concept for uncapacitated location problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(1), pages 271-285, July.

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