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

Author:

Ge Xue12,Yang Jiaqi1,Wang Haiyan1,Shao Wanqing2

Affiliation:

1. School of Transportation, Wuhan University of Technology, Wuhan, China

2. School of Economics and Management, Ningbo University of Technology, Ningbo, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference29 articles.

1. A discussion on several fundamental theoretical issues of paroxysmal events;Sun;Journal of Southwest China Normal University (Humanities and Social Sciences Edition),2005

2. On synergy management in emergency supply chain dealing with unconventional emergencies;Chen;Journal of Beijing Institute of Technology (Social Sciences Edition),2013

3. Managing risks in a relief supply chain in the wake of an adverse event;Kumar;OR Insight,2011

4. Before and after disaster strikes: A relief supply chain decision support framework;Kumar;International Journal of Production Economics,2013

5. Reliability of emergency logistics supply chain;Chen;Railway Transport and Economy,2009

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