Fuzzy nonlinear goal programming using genetic algorithm
Proceedings of the 21st international conference on Computers and industrial engineering
Genetic Algorithms
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
A fuzzy goal programming approach for vendor selection problem in a supply chain
Computers and Industrial Engineering
A framework for evaluating third-party logistics
Communications of the ACM - Interaction design and children
A hybrid optimization/simulation approach for a distribution network design of 3PLS
Computers and Industrial Engineering - Special issue: Sustainability and globalization: Selected papers from the 32 nd ICC&IE
Application of a hybrid intelligent decision support model in logistics outsourcing
Computers and Operations Research
An integrated multicriteria decision-making methodology for outsourcing management
Computers and Operations Research
An integrated fuzzy approach for provider evaluation and selection in third-party logistics
Expert Systems with Applications: An International Journal
Soft computing based on interval valued fuzzy ANP-A novel methodology
Journal of Intelligent Manufacturing
A fuzzy ANP model for supplier selection as applied to IC packaging
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing
Journal of Intelligent Manufacturing
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To provide selections of logistics outsourcing providers in a global supply chain, this paper proposes a decision support system (DSS), based on fuzzy analytic network process (FANP) and preemptive fuzzy integer goal programming (PFIGP). For decision-makers, a suitable method for selecting third-party logistics (3PL) is critical under the trends of globalization and specialization. The proposed DSS for 3PL provider selection takes into consideration flexible resource and interactions among providers. When applying multiple attribute decision-making (MADM) to selection of 3PL providers, it is difficult for decision-makers to determine the feasible solution domain under limited resources, especially if the decision problems are NP-complete. Moreover, traditional mathematical programming does not incorporate experts' evaluation of providers. This paper employs FANP to obtain experts' scores of the providers, and then integrates the scores into PFIGP to facilitate selection of a 3PL provider with flexible resources. Finally, this paper uses genetic algorithms to solve the PFIGP. An illustrative example is also given to demonstrate such DSS. The test result shows that the degree of providers' interaction affects the final weight of FANP.