نوع مقاله : پژوهشی
تازه های تحقیق
عنوان مقاله English
نویسندگان English
In recent years, advances in technology, increased business complexity, and crises such as COVID-19 have highlighted the need to rethink supply chain management. The resilient supply chain approach—emphasizing resilience, sustainability, agility, and digitalization—offers a modern pathway to long-term organizational efficiency. This study evaluates and selects suppliers for a closed-loop supply chain under uncertainty. Key criteria were identified through literature review and expert consultation, then weighted using the fuzzy–stochastic Best–Worst Method (BWM). Suppliers were subsequently assessed and ranked via the fuzzy–stochastic TOPSIS method. Findings reveal that beyond traditional factors such as cost and quality, aspects like backup supplier availability, waste management, and fair labor compliance are critical. A medical equipment industry case study validated the model’s effectiveness in identifying top suppliers and enhancing supply chain performance, underscoring the importance of sustainability-focused, long-term strategies over purely economic ones. The study’s novelty lies in a two-stage decision-making framework that integrates resilient supply chain principles, closed-loop structures, and dual uncertainties (fuzzy and stochastic), offering a robust tool for managing complex, ambiguous procurement environments.
کلیدواژهها English
Copyright © Fariborz Kalashi, Iraj Mahdavi, Ali Tajdin, Javad Rezaeian
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This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.