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- Title
AN OPTIMIZATION MODEL FOR MULTI-OBJECTIVE CLOSED-LOOP SUPPLY CHAIN NETWORK UNDER UNCERTAINTY: A HYBRID FUZZY-STOCHASTIC PROGRAMMING METHOD.
- Authors
VAHDANI, B.
- Abstract
In this research, we address the application of uncertainty programming to design a multi-site, multi-product, multi-period, closed-loop supply chain (CLSC) network. In order to make the results of this article more realistic, a CLSC for a case study in the iron and steel industry has been explored. The presented supply chain covers three objective functions: maximization of profit, minimization of new products' delivery time, collection time and 'disposal time of used products, and maximizing flexibility. To solve the proposed model, an interactive hybrid solution methodology is adopted through combining a hybrid fuzzy-stochastic programming method and a fuzzy multi-objoctive approach. Finally, the numerical experiments are given to demonstrate the significance of the proposed model and the solution approach.
- Subjects
CLOSED loop systems; SUPPLY chains; MATHEMATICAL optimization; FUZZY arithmetic; STOCHASTIC approximation; UNCERTAIN systems
- Publication
Iranian Journal of Fuzzy Systems, 2015, Vol 12, Issue 4, p33
- ISSN
1735-0654
- Publication type
Article