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Based on a large number of literature analysis and practical research, this paper proposes 8 strategies and develops a Fuzzy-topsis (Technique for Order Preference by Similarity to an Ideal Solution) approach to enhance emergency logistics SC resilience. An empirical analysis is carried out among several Emergency Logistics Experts. The results show that the 3 strategies of \u201cincreasing the number of transport links\u201d, \u201cimproving information monitoring and warning capabilities\u201d, \u201cimproving the accuracy of the plans\u201d and \u201cestablishing a green passage\u201d are most effective to enhance the resilience of the emergency logistics SC. Sensitivity analysis shows that the 8 strategies proposed play different roles in the contribution of SC resilience enhancing and can be applied in different situations.<\/jats:p>","DOI":"10.3233\/jifs-179777","type":"journal-article","created":{"date-parts":[[2020,5,5]],"date-time":"2020-05-05T10:50:05Z","timestamp":1588675805000},"page":"6991-6999","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":17,"title":["A fuzzy-TOPSIS approach to enhance emergency logistics supply chain resilience"],"prefix":"10.1177","volume":"38","author":[{"given":"Xue","family":"Ge","sequence":"first","affiliation":[{"name":"School of Transportation, Wuhan University of Technology, Wuhan, China"},{"name":"School of Economics and Management, Ningbo University of Technology, Ningbo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaqi","family":"Yang","sequence":"additional","affiliation":[{"name":"School of 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