Application of a hybrid intelligent decision support model in logistics outsourcing
Computers and Operations Research
A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An integrated multi-objective decision-making process for supplier selection with bundling problem
Expert Systems with Applications: An International Journal
A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An integrated fuzzy approach for provider evaluation and selection in third-party logistics
Expert Systems with Applications: An International Journal
Fuzzy multiple goal programming applied to TFT-LCD supplier selection by downstream manufacturers
Expert Systems with Applications: An International Journal
An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Design a new mixed expert decision aiding system using fuzzy ELECTRE III method for vendor selection
Expert Systems with Applications: An International Journal
Group decision making process for supplier selection with VIKOR under fuzzy environment
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Hi-index | 12.05 |
This paper considers a special case for logistics activities in Turkey: a joint selection of customs broker agency and international road transportation firm. For this purpose a decision-making team has been constituted, including members of logistics and finance departments and an academic. They determined related quantitative and qualitative criteria for the selection process. To cover the vagueness of related qualitative data, a fuzzy analytic network process (FANP) based model was formulated and applied to the decision-making process. The FANP model encompasses and substantially resolves the ambiguity and imprecision of the pairwise comparison process. By using the proposed FANP structure, the joint selection problem could be solved in a much easier way by also considering the inter-dependencies related to criteria.