Prepositioning emergency supplies under uncertainty: a parametric optimization method-Reference-Cited by-同舟云学术

Prepositioning emergency supplies under uncertainty: a parametric optimization method

Published:2017-07-26 Issue:7 Volume:50 Page:1114-1133
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Bai Xuejie¹²,Gao Jinwu³⁴,Liu Yankui²

Affiliation:

1. College of Science, Agricultural University of Hebei, Baoding, PR China

2. College of Management, Hebei University, Baoding, PR China

3. School of Information, Renmin University of China, Beijing, PR China

4. Edward P. Fitts Department of Industrial and System Engineering, North Carolina State University, Raleigh, USA

Funder

China Scholarship Council

National Natural Science Foundation of China

Youth Natural Science Foundation of Hebei Province

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2017.1328508

Reference38 articles.

1. An exact solution approach for multi-objective location–transportation problem for disaster response

2. OR/MS research in disaster operations management

3. A fuzzy multi-objective covering-based vehicle location model for emergency services

4. Bai, X. 2016. “Optimal Decisions for Prepositioning Emergency Supplies Problem with Type-2 Fuzzy Variables.”Discrete Dynamics in Nature and Society2016. Article ID 9275192, 17pp. 10.1155/2016/9275192

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