Abstract
To study the resilience and driving factors of key players in the food supply chain, this paper applies a decision model based on the Fermatean fuzzy set and improved ORESTE method. Firstly, based on the existing research on food supply chain resilience, the risk influencing factors affecting food supply chain resilience is established through a literature review. Secondly, Fermatean fuzzy sets are used to express and integrate uncertain information, calculate the membership and non-membership degrees of the factors affecting the resilience risk of the food supply chain, and then calculate the score function to obtain the weight of the influencing factors and the risk weight of alternatives. Finally, the improved ORESTE method is used to rank key players, thereby identifying key players in the food supply chain that affect resilience. The results show that transportation and logistics failures, government regulation, and diseases are the three important risk factors with the highest weight coefficient, while water system failure is the least important risk factor. Among the key players, farmers and food processors are considered the most vulnerable key players in the food supply chain, while the most resilient key players are supermarkets and food wholesalers.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
