A 3PL supplier selection model based on fuzzy sets

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• 作者：Fachao Li^a ; ^{lifachao@tsinghua.org.cn} ; Ling Li^b ; Chenxia Jin^a ; Ruijiang Wang^a ; ^c ; ^d ; Hong Wang^e ; Lili Yang^f
• 关键词：3PL provider ; Comprehensive evaluation ; Fuzzy sets ; Centralized quantification ; Synthesis effect ; Supply chain management ; Logistics
• 刊名：Computers and Operations Research
• 出版年：2012
• 出版时间：August 2012
• 年：2012
• 卷：39
• 期：8
• 页码：1879-1884
• 全文大小：167 K

文摘

Outsourcing is an increasingly important task pursued by enterprises 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, through analyzing the features and role of third-party logistics, for 3PL provider selection, we propose an indicator system and a method for data integration. We also establish a comprehensive evaluation model for 3PL suppliers based on fuzzy sets; furthermore, we propose a compound quantification model based on centralized quantification values, a comparison method based on the synthesis effect, and a 3PL supplier selection model. A real-world case analysis is provided. The results show that the proposed 3PL supplier selection model can effectively integrate decision preferences into decision processes.