Digital twin and fuzzy framework for supply chain sustainability risk assessment and management in supplier selection.

ABSTRACT: Risks in the supply chain can damage many companies and organizations due to sustainability risk factors. This study evaluates the supply chain risk assessment and management and then selects the best supplier in a gas company in Egypt. A comprehensive methodology can use the experts' opinions who use the linguistic variables in the spherical fuzzy numbers (SFNs) to evaluate the criteria and suppliers in this study based on their views. Selecting the best supplier is a complex task due to various criteria related to supply chain risk assessment, such as supply risks, environmental risks, financial risks, regularity risks, political risk, ethical risks, and technology risks and their sub-criteria. This study suggested a new combined model with multi-criteria decision-making (MCDM) under a s

SUBMITTER: Hezam IM 

PROVIDER: S-EPMC11291748 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature