Title
A 3PL supplier selection model based on fuzzy sets
Abstract
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 Li115722.30
Ling Li21437.51
Chenxia Jin310113.20
Ruijiang Wang4232.17
Hong Wang51357.79
Lili Yang6171.02