SELECTION METHOD OF THE 3PL SUPPLIER BASED ON INTERVAL SATISFACTION
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 firms 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.
3PL provider Satisfaction Comprehensive evaluation Triangular fuzzy number Centralized quantification Synthesizing effect
XIANG-YUN MI ZHAN-JING WANG CHEN-XIA JIN
School of Mathematics and Statistics, Hebei University of Economics and Business, Shijiazhuang Hebei School of Economics and Management, Hebei University of Science and Technology, Shijiazhuang Hebei 0
国际会议
2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)
保定
英文
2663-2668
2009-07-12（万方平台首次上网日期，不代表论文的发表时间）