Identifying and Prioritizing the Risks of the Manufacturing Sector in the Livestock and Poultry Feed Supply Chain Under Uncertainty: A Case Study

Nowadays, identifying the risks of manufacturing industries is an effective factor in improving the performance of the health supply chain. This study aimed to identify and evaluate the risks of the manufacturing sector in the livestock and poultry feed supply chain in Golestan Province, Iran. For this purpose, first, the risks related to livestock and poultry feed industrial units were identified using the Failure Mode and Effects Analysis (FMEA) and then, by designing the Risk Breakdown Structure (RBS) approach, risk identification process was structured, which increased the comprehensiveness of the identification phase in terms of covering the features and characteristics of the project. Moreover, by using the fuzzy best-worst model (F BWM) and the Fuzzy DEMATEL (F DEMATEL) method, the weights and internal relationships of the criteria were calculated, respectively. For weighting and final prioritization, a combination of the two methods of F BWM and F DEMATEL was used. The present study was applied and descriptive in terms of purpose and nature, respectively. The data was both quantitative and qualitative, and library and field methods were used for data collection. According to the research results, among the risks of the production sector in the livestock and poultry feed supply chain of Golestan Province, the risk of the COVID-19 pandemic and the risk of increasing poverty were the highest and the lowest priorities, respectively.