Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
A framework for evaluating third-party logistics
Communications of the ACM - Interaction design and children
A MCDM approach for sourcing strategy mix decision in IT projects
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
A weighted additive fuzzy programming approach for multi-criteria supplier selection
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Strategic logistics outsourcing: An integrated QFD and fuzzy AHP approach
Expert Systems with Applications: An International Journal
Journal of Intelligent Manufacturing
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Intelligent Decision Technologies - IT Service Management and Engineering: An Intelligent Decision-Making Support Systems Approach
Hi-index | 12.06 |
The demand of third-party logistics (3PL) provider becomes an increasingly important issue for corporations seeking improved customer service and cost reduction. The present paper presents an integrated fuzzy approach for the evaluation and selection of 3PL providers. This method consists of three different techniques: (1) use fuzzy Delphi method to identify important evaluation criteria; (2) apply fuzzy inference method to eliminate unsuitable 3PL providers; and, (3) develop a fuzzy linear assignment approach for the final selection. The proposed method enables decision analysts to better understand the complete evaluation process of 3PL selection. Furthermore, this approach provides a more accurate, effective, and systematic decision support tool for 3PL provider selection. Finally, an actual industrial application is presented to demonstrate the proposed method.