An Integrated Collection-Disassembly-Distribution Model with Fuzzy Demand: Toward Sustainable Reverse Logistics

Abstract

This study addresses the integrated collection–disassembly–distribution problem under fuzzy demand. The problem provides a roadmap for effectively managing reverse supply chains under uncertain conditions. It involves collecting end-of-life products, disassembling them, and distributing the components obtained from the disassembly process to demand centers under fuzzy demand. The reuse of valuable components not only provides cost savings but also supports sustainable supply chain practices. A nonlinear mathematical model is developed to represent the problem and is tested through various scenario analyses. The results show that the proposed model provides a realistic decision-support framework that accounts for the vagueness faced by decision-makers and manufacturers. Moreover, the findings indicate that it is possible to achieve cost-effectiveness and efficient resource utilization even in the presence of demand ambiguity, highlighting the model’s applicability to industries operating in volatile and unpredictable market environments.

Keywords

• Disassembly line balancing
• environmental sustainability
• fuzzy demand
• reverse logistics
• vehicle routing problem

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