A fuzzy-TOPSIS approach to enhance emergency logistics supply chain resilience

Unconventional emergencies are difficult to be predicted and controlled. Emergency logistics supply chains (SCs) are exposed to great natural risks in operation and prone to encounter chain breakage. Based on a large number of literature analysis and practical research, this paper proposes 8 strateg...

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Bibliographic Details
Published in:Journal of intelligent & fuzzy systems 2020-01, Vol.38 (6), p.6991-6999
Main Authors: Ge, Xue, Yang, Jiaqi, Wang, Haiyan, Shao, Wanqing
Format: Article
Language:English
Subjects:
Empirical analysis
Logistics
Predictive control
Resilience
Sensitivity analysis
Supply chains
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Summary:Unconventional emergencies are difficult to be predicted and controlled. Emergency logistics supply chains (SCs) are exposed to great natural risks in operation and prone to encounter chain breakage. 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 “increasing the number of transport links”, “improving information monitoring and warning capabilities”, “improving the accuracy of the plans” and “establishing a green passage” 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.
ISSN:1064-1246
1875-8967
DOI:10.3233/JIFS-179777