Integral analysis method - IAM

被引:13
作者
Garcia Caceres, Rafael Guillermo [2 ]
Araoz Durand, Julian Arturo [1 ]
Palacios Gomez, Fernando [3 ]
机构
[1] Univ Politecn Cataluna, Dept Math & Operat Res, Barcelona, Spain
[2] Pontificia Univ Javeriana, Dep Product Proc, Sch Engn, Bogota, Colombia
[3] Univ Andes, Dept Ind Engn, Bogota, Colombia
关键词
Multiple criteria analysis; Multiple objective programming; Combinatorial optimization; Simulation; Integral analysis method; MULTICRITERIA ACCEPTABILITY ANALYSIS; DISTRIBUTION-SYSTEM-DESIGN; DECISION-MAKING; ORDINAL CRITERIA; SMAA; LOCATION; FACILITY; MODELS; AID;
D O I
10.1016/j.ejor.2007.10.001
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper presents the theoretical foundations of the new integral analysis method (IAM), and its application to it facility location problem. This methodology integrates the cardinal and ordinal criteria of combinatorial stochastic optimization problems in four stages: definition of the problem, cardinal analysis, ordinal analysis and integration analysis. The method uses the concepts of stochastic multicriteria acceptability analysis (SMAA), Monte Carlo simulation, optimization techniques and elements of probability. The proposed method (IAM) was used to determine optimal locations for the retail stores of it Colombian coffee marketing company. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:891 / 903
页数:13
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