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Modèles de localisation-affectation×Technique pour le classement par similarité à la solution idéale×
DomaineAnalyse spatialePrise de décision
FamilleProcess / pipelineMCDM
Année d'origine19631981
Auteur d'origineLeon Cooper; S. L. HakimiHwang, C. L., Yoon, K.
TypeSpatial facility-location optimizationDistance-based (compromise)
Source fondatriceCooper, L. (1963). Location-allocation problems. Operations Research, 11(3), 331–343. DOI ↗Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗
Aliasfacility location, p-median problem, maximal covering location problem, yer-tahsis modelleri
Apparentées48
RésuméLocation-allocation models decide where to place a set of facilities and simultaneously assign demand points to them so as to optimize an objective such as total travel cost, worst-case distance, or population covered. Rooted in the operations-research work of Cooper (1963) and Hakimi (1964) and central to network GIS, they answer questions like where to site warehouses, hospitals, fire stations, or schools to best serve a spatially distributed population.TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateComparer des méthodes: Location-Allocation · TOPSIS. Consulté le 2026-06-19 sur https://scholargate.app/fr/compare