Identifying and Prioritizing Risk Factors in Supply Chain Logistics for Crisis Management Using an Integrated Fuzzy Approach
Background and objective Recent global events such as the COVID-19 pandemic, wars, and climate change have led to changes in demand and disruptions in the supply chain logistics, which can challenge the food supply and security. In this regard, accurate and effective identification of threats is nec...
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| Format: | Article |
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Tehran Disaster Mitigation and Management Organization
2025-03-01
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| Series: | دانش پیشگیری و مدیریت بحران |
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| Online Access: | http://dpmk.ir/article-1-718-en.pdf |
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| author | Mohammad Eskandari Hamed Asghari Mahdi Modiri |
| author_facet | Mohammad Eskandari Hamed Asghari Mahdi Modiri |
| author_sort | Mohammad Eskandari |
| collection | DOAJ |
| description | Background and objective Recent global events such as the COVID-19 pandemic, wars, and climate change have led to changes in demand and disruptions in the supply chain logistics, which can challenge the food supply and security. In this regard, accurate and effective identification of threats is necessary to prevent vulnerability. Therefore, this research aims to identify and evaluate the most important risk factors that threaten supply chain logistics.
Method For this purpose, Pareto analysis and an integrated fuzzy approach, including MICMAC analysis and total interpretive structural modeling, were used.
Results According to the previous studies and based on expert feedback, 16 factors were initially identified. After applying the Pareto analysis, 12 factors were selected for further analysis. Finally, natural disasters, mismanagement in supplier selection, transportation strikes, shortage of skilled personnel, and minimal fuel consumption were identified as the most important risk factors.
Conclusion The results of this study can help managers and policymakers in Iran to make correct strategic decisions and thus achieve sustainable development goals by developing and increasing the resilience of supply chain logistics. |
| format | Article |
| id | doaj-art-5bfec00ecd004ff7b7369ec2a49847ee |
| institution | OA Journals |
| issn | 2322-5955 2538-1814 |
| language | fas |
| publishDate | 2025-03-01 |
| publisher | Tehran Disaster Mitigation and Management Organization |
| record_format | Article |
| series | دانش پیشگیری و مدیریت بحران |
| spelling | doaj-art-5bfec00ecd004ff7b7369ec2a49847ee2025-08-20T01:56:59ZfasTehran Disaster Mitigation and Management Organizationدانش پیشگیری و مدیریت بحران2322-59552538-18142025-03-01151104123Identifying and Prioritizing Risk Factors in Supply Chain Logistics for Crisis Management Using an Integrated Fuzzy ApproachMohammad Eskandari0Hamed Asghari1Mahdi Modiri2 Faculty of Engineering and Passive Defense, Malek Ashtar University of Technology, Tehran, Iran. Department of Crisis Management, Faculty of Engineering and Passive Defense, Malek Ashtar University of Technology, Tehran, Iran. Faculty of Engineering and Passive Defense, Malek Ashtar University of Technology, Tehran, Iran. Background and objective Recent global events such as the COVID-19 pandemic, wars, and climate change have led to changes in demand and disruptions in the supply chain logistics, which can challenge the food supply and security. In this regard, accurate and effective identification of threats is necessary to prevent vulnerability. Therefore, this research aims to identify and evaluate the most important risk factors that threaten supply chain logistics. Method For this purpose, Pareto analysis and an integrated fuzzy approach, including MICMAC analysis and total interpretive structural modeling, were used. Results According to the previous studies and based on expert feedback, 16 factors were initially identified. After applying the Pareto analysis, 12 factors were selected for further analysis. Finally, natural disasters, mismanagement in supplier selection, transportation strikes, shortage of skilled personnel, and minimal fuel consumption were identified as the most important risk factors. Conclusion The results of this study can help managers and policymakers in Iran to make correct strategic decisions and thus achieve sustainable development goals by developing and increasing the resilience of supply chain logistics.http://dpmk.ir/article-1-718-en.pdffuzzy theorysupply chainlogisticsresiliencecrisesrisk reduction |
| spellingShingle | Mohammad Eskandari Hamed Asghari Mahdi Modiri Identifying and Prioritizing Risk Factors in Supply Chain Logistics for Crisis Management Using an Integrated Fuzzy Approach دانش پیشگیری و مدیریت بحران fuzzy theory supply chain logistics resilience crises risk reduction |
| title | Identifying and Prioritizing Risk Factors in Supply Chain Logistics for Crisis Management Using an Integrated Fuzzy Approach |
| title_full | Identifying and Prioritizing Risk Factors in Supply Chain Logistics for Crisis Management Using an Integrated Fuzzy Approach |
| title_fullStr | Identifying and Prioritizing Risk Factors in Supply Chain Logistics for Crisis Management Using an Integrated Fuzzy Approach |
| title_full_unstemmed | Identifying and Prioritizing Risk Factors in Supply Chain Logistics for Crisis Management Using an Integrated Fuzzy Approach |
| title_short | Identifying and Prioritizing Risk Factors in Supply Chain Logistics for Crisis Management Using an Integrated Fuzzy Approach |
| title_sort | identifying and prioritizing risk factors in supply chain logistics for crisis management using an integrated fuzzy approach |
| topic | fuzzy theory supply chain logistics resilience crises risk reduction |
| url | http://dpmk.ir/article-1-718-en.pdf |
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