DocumentCode :
2964288
Title :
Choice-Making on Distribution Locations of Logistics Center Based on Fuzzy Multi-criteria Decision Making Theory
Author :
Bai, Lin ; Chen, Xiao-rong
Author_Institution :
Coll. of Comput. Sci. & Inf., Guizhou Univ., Guiyang, China
fYear :
2010
fDate :
13-14 Oct. 2010
Firstpage :
17
Lastpage :
22
Abstract :
In light of China´s logistics industry, the location selection of distribution center is one of the most important issues. The objective of this research is to present a location-selection model of logistics distribution center based on fuzzy multi-criteria decision making theory. With the model, the candidate evaluation programs of the logistics distribution center location are simulated and tested by the triangular fuzzy number and fuzzy value. The final decision is determined by the classical fuzzy multiple attribute group decision-making theory. By cooperation of quantitative factors and qualitative factors with the subjective preference factor from adjudicators, the model has been optimized to reduce considerably the volatility of evaluation results. The ultimate purpose of the model is to achieve the functionality to acquire the weighting hierarchy of candidate programs to choose out the most appropriate plan. The model effectively reduces the computational complexity of the selection process. It can provide accurate data supporting on decision-determining for logistics distribution center location.
Keywords :
computational complexity; decision making; facility location; fuzzy set theory; goods distribution; logistics; service industries; China; computational complexity; fuzzy multicriteria decision making theory; location selection model; logistics distribution center locations; logistics industry; triangular fuzzy numbers; Biological system modeling; Book reviews; Computational complexity; Computational modeling; Decision making; Economics; Logistics; fuzzy multi-criteria decision making; fuzzy multiple attribute group decision making; logistics distribution center location; triangular fuzzy numbers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Intelligence Information Security (ICCIIS), 2010 International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-8649-6
Electronic_ISBN :
978-0-7695-4260-7
Type :
conf
DOI :
10.1109/ICCIIS.2010.52
Filename :
5628887
Link To Document :
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