DocumentCode :
499111
Title :
Selection method of the 3PL supplier based on interval satisfaction
Author :
Mi, Xiang-yun ; Wang, Zhan-jing ; Jin, Chen-xia
Author_Institution :
Sch. of Math. & Stat., Hebei Univ. of Econ. & Bus., Shijiazhuang, China
Volume :
5
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
2663
Lastpage :
2668
Abstract :
Outsourcing is an increasingly important issue pursued by corporations seeking improved efficiency. Logistics outsourcing or third-party logistics (3PL) involves the use of external companies to perform some or all of the firm´s logistics activities. In this paper, by analyzing the feature and role of third-party logistics, for 3PL provider selection, we put forward basic principle of data integration, establish comprehensive evaluation model of 3PL supplier based on interval satisfaction, and give a kind of interval data weighted fuzzification method; furthermore, starting from the structural feature of fuzzy information, we propose the compound quantification description mode based on centralized quantification value, and establish a fuzzy information comparison method based on synthesizing effect and 3PL supplier selection model, and also analyze the feature through real case. All the results indicate that the 3PL supplier selection model proposed can effectively merge decision preference into decision process and has better operability.
Keywords :
fuzzy set theory; logistics; outsourcing; 3PL supplier; centralized quantification value; compound quantification description mode; fuzzy information comparison method; interval data weighted fuzzification method; interval satisfaction; logistics outsourcing; third-party logistics; Conference management; Cybernetics; Fuzzy systems; Information analysis; Linear programming; Logistics; Machine learning; Mathematics; Outsourcing; Statistics; 3PL provider; Centralized quantification; Comprehensive evaluation; Satisfaction; Synthesizing effect; Triangular fuzzy number;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212638
Filename :
5212638
Link To Document :
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