Spherical fuzzy decision support approach to evaluate the sustainable strategies in agri-food supply chains: A case study in tea supply chain

Betul Yildirim, Ertugrul Ayyildiz, Nezir Aydin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study proposes a novel sustainability-focused model for evaluating agri-food supply chains, illustrated by a Turkish tea supply chain case ensuring environmental, economic, and social benefits. The research aims to assess and prioritize strategies for enhancing sustainability by identifying key criteria within the sustainability framework. We identify and weigh comprehensive environmental, social, economic, and technical criteria, then rank five strategies aimed at long-term resilience and efficiency. Findings reveal low R&D investment as a major barrier while adopting digital technologies emerges as the most effective solution. These results highlight the novelty of sustainability in our framework, guiding stakeholders toward more balanced decisions.

Original languageEnglish
Article number100710
JournalSustainable Futures
Volume9
DOIs
Publication statusPublished - 21 May 2025

Keywords

  • Agri-food supply chain
  • Decision-making
  • Spherical fuzzy sets
  • Sustainable agriculture
  • Tea production in Türkiye
  • Tea supply chain

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