en تخصصي Special كاربردي Applicable <span style="font-size:11pt"><span style="line-height:normal"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><span new="" roman="" style="font-family:" times="">In today&rsquo;s competitive business environment, the supply chain plays a crucial role in maintaining an organization&rsquo;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&#39;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.</span><span lang="EN-US" style="font-family:"Times New Roman",serif"></span></span></span></span></span><br> &nbsp; Fuzzy Data Envelopment Analysis (FDEA), Sustainability Assessment, Supply Chain Risk 1 24 http://ijorlu.lahijan.iau.ir/browse.php?a_code=A-10-578-1&slc_lang=en&sid=1 N. Fallah nilooch11@yahoo.com 10031947532846002165 10031947532846002165 No Science and Research Branch, Islamic Azad University, Tehran, Iran M. Rostamy Malkhalifeh mohsen_rostamy@yahoo.com 10031947532846002166 10031947532846002166 Yes Science and Research Branch, Islamic Azad University, Tehran, Iran F. Hosseinzadeh Lotfi farhad@hosseinzadeh.ir 10031947532846002167 10031947532846002167 No Science and Research Branch, Islamic Azad University, Tehran, Iran M. H. Behzadi behzadi.stat@gmail.com 10031947532846002168 10031947532846002168 No Science and Research Branch, Islamic Azad University, Tehran, Iran