RISK EVALUATION IN SUSTAINABLE SUPPLY CHAIN MANAGEMENT USING FUZZY CRITIC AND FUZZY TOPSIS METHODS IN THE AGROCOMPLEX MACHINERY AND FOOD PROCESSING INDUSTRY

Sustainable supply chains are an important challenge in the modern industrial world because they must be able to integrate operational efficiency with environmental, social, and economic shifts. This study aims to identify and generate risks in sustainable supply chains in the agro-complex machinery and food processing industry with a case study at PT Inovasi Anak Negeri (INAGI) Manufacturing. The Fuzzy TOPSIS method is used to rank risks based on proximity to the ideal solution, while the Fuzzy CRITIC method is used to determine the objective weight of the criteria based on the variability and correlation between criteria. This study involved 18 recommended risks based on economic, environmental, and social dimensions, and used three evaluation criteria: probability, impact, and control. The results showed that the risk of late delivery of raw materials, high energy consumption, and high distribution costs were the main priorities. These results provide strategic implications for companies to improve the resilience and resilience of the supply chain.