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Sustainable-Resilient Supplier Selection Through Fuzzy Multi-Criteria Decision Making Approaches

Varchandi, Sahar | 2023

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56222 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Akbari Jokar, Mohammad Resa; Memari, Ashkan
  7. Abstract:
  8. Today, with the expansion of business relations at international levels, there are many organizations that operate in global supply chains. Activities at such levels face new types of challenges in various fields of "supply chain management" pillars, of which "supplier selection" is one of them. The possibility of unexpected events, the need to comply with environmental protection laws, as well as the need to take into account social considerations, are among the things that have increased by being in larger supply chains, making it challenging to provide the basic resources needed in such chains and forcing their managers to considering considerations other than what they have always considered in the past. For this reason, in this research, in order to respond to this new need, the issue of choosing a supplier with a sustainability and resilience approach has been addressed. The combination of best-worst and FGTOPSIS multi-criteria decision making methods has been used as the method of this research. The efficiency of the introduced integrated model has been investigated by implementing it in a real case and the sensitivity analysis of its results has been done. The findings of this research show that after the "price" and "quality", which have always been among the most important decision-making criteria, today the "environmental label" criterion has received the attention of decision makers of organizations as one of the criteria of the environmental dimension of sustainable development. At the end, managerial insights obtained from the research are presented
  9. Keywords:
  10. Supplier Selection ; Sustainable Development ; Network Resiliance ; Multicriteria Decision Making ; Technique for Order-Perference by Similarity to Ideal Solution (TOPSIS)Method ; Sustainable Supply Chain ; Resilient Supply Chain ; Best-Worst Method

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