Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1016/j.cor.2011.06.022 | Computers & OR |
Keywords | Field | DocType |
centralized quantification value,third-party logistics,decision preference,provider selection,logistics activity,fuzzy set,comparison method,comprehensive evaluation model,compound quantification model,decision process,supplier selection model | Mathematical optimization,Operations research,Outsourcing,Fuzzy set,Supply chain management,Mathematics | Journal |
Volume | Issue | ISSN |
39 | 8 | 0305-0548 |
Citations | PageRank | References |
14 | 0.62 | 15 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fachao Li | 1 | 157 | 22.30 |
Ling Li | 2 | 143 | 7.51 |
Chenxia Jin | 3 | 101 | 13.20 |
Ruijiang Wang | 4 | 23 | 2.17 |
Hong Wang | 5 | 135 | 7.79 |
Lili Yang | 6 | 17 | 1.02 |