An interactive fuzzy programming system
Fuzzy Sets and Systems
Fuzzy Mathematical Programming: Methods and Applications
Fuzzy Mathematical Programming: Methods and Applications
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Supply chain network modeling in a golf club industry via fuzzy linear programming approach
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Pricing decisions with retail competition in a fuzzy closed-loop supply chain
Expert Systems with Applications: An International Journal
Fuzzy linear programming approach to multi-mode distribution planning problem
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty
Computers and Industrial Engineering
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - FUZZYSS'2011: 2nd International Fuzzy Systems Symposium
A new method for sensitivity analysis of fuzzy transportation problems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Today, the requirement of reverse supply chain RSC optimization takes more attention due to environmental and competitive factors. However, increasing attention and existing uncertainty in RSC also increases the difficulties for decisions of production/distribution planning. Therefore, considering strategic and tactical decisions together under fuzziness is being essential. This paper presents a fuzzy programming approach to the integration of RSC optimization strategic level and disassembly line balancing DLB tactical level problems. The aim of this study is to apply fuzzy modeling to optimize a RSC that involves customers, collection/disassembly centers and plants while balancing the disassembly lines in disassembly centers, simultaneously. Two types of fuzzy mathematical programming models with different aggregation operators are used. Finally, accuracy and applicability of the model is illustrated and a comparison of fuzzy approaches is done via a hypothetical example.