design of an analytical model based on fuzzy data envelopment analysis approach for evaluating the sustainability capability of supply chain systems against various risks

In today’s competitive business environment, the supply chain plays a crucial role in maintaining an organization’s competitive advantage. however, environmental uncertainties, unpredictable delays, and various risks pose significant challenges to the sustainability of these systems. this study aims to present an analytical model based on fuzzy data envelopment analysis (fdea) to assess the supply chain system’s sustainability capabilities against different types of risks. the proposed model seeks to enhance supply chain flexibility and resilience under dynamic environmental conditions by utilizing fuzzy data. to achieve this goal, supply chain risks were initially identified and categorized into three levels: strategic, tactical, and operational. subsequently, fdea was employed to evaluate the impact of these risks on supply chain performance. the research findings indicate that increasing environmental uncertainties, over reliance on specific suppliers, reduced inventory levels, and inefficiencies in demand forecasting are key factors contributing to decreased supply chain sustainability. the results further suggest that adopting multidimensional risk management approaches and leveraging strategic management theories such as the resource based view (rbv) and dynamic capabilities can effectively mitigate risks and enhance supply chain flexibility. additionally, a comparative analysis of the proposed model with traditional risk management approaches demonstrated that applying fdea improves risk assessment accuracy and enhances decision making efficiency within organizations. ultimately, this study underscores the importance of utilizing advanced decision making tools in supply chain management and recommends that organizations continuously evaluate their current status and adopt advanced analytical methods for managing potential risks. the proposed model not only provides a systematic, data driven approach for assessing supply chain sustainability but also serves as a practical tool for managers in developing risk mitigation strategies and optimizing supply chain processes.