Abstract
The paper is devoted to an extension of traditional location theory in two directions. First, the usual assumption of a single cost function will be abandoned by introducing multiple objectives. This gives rise to a multidimensional programming framework for the traditional location models. The paper provides a solution algorithm for the latter problem.
Next, the assumption of a uniform space will be tackled by taking account of discrete candidate-locations. This problem will be solved by means of an adjusted multicriteria analysis.
The solution algorithms for both extensions are based on an interactive strategy, so that the decision-maker may identify the most favourable location in a finite number of steps. The various steps are illustrated by numerical examples.
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Nijkamp, P., Spronk, J. (1981). Multidimensional Locational Decisions and Interactive Programming. In: Morse, J.N. (eds) Organizations: Multiple Agents with Multiple Criteria. Lecture Notes in Economics and Mathematical Systems, vol 190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45527-8_24
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DOI: https://doi.org/10.1007/978-3-642-45527-8_24
Publisher Name: Springer, Berlin, Heidelberg
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