An Hybrid Approach of Mathematical Programming and MCDA for the GISMR: The Industrial Localization

Abstract

One of the major questions which arise for the decision makers is the localization choice of places of their establishment related to the constraint of the space, social, economic and policy difference between the places of production and those of consumption. This question is related to the diversity of the criteria integrated in the decision-making, and to the very great number of possible space alternatives. We propose in this article an approach of aid to the industrial localization decision by profiting from the advantages offered by the geographical information systems to multiple representation compounds to the AHP method and from the advantages of the mathematical programming models. The use of a GISMR combined with AHP will help us to reduce the number of the space alternatives and to evaluate them according to real criteria of decision which are quantitative or qualitative. The evaluations obtained will be integrated in a mathematical model to make the final choice of the best alternatives. In fact this model is used to identify the best solution taking into account the criteria fixed by the decision-maker and the data provisions generated by the GISMR.