A new robust optimization model for relief logistics planning under uncertainty: a real-case study-Reference-Cited by-同舟云学术

A new robust optimization model for relief logistics planning under uncertainty: a real-case study

Published:2022-03-07 Issue:8 Volume:26 Page:3883-3901
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Aliakbari Abolfazl,Rashidi Komijan Alireza,Tavakkoli-Moghaddam Reza^ORCID,Najafi Esmaeil

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-022-06823-4.pdf

Reference70 articles.

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2. Altay N, Green WG III (2006) OR/MS research in disaster operations management. Eur J Oper Res 175(1):475–493

3. Altay N, Ramirez A (2010) Impact of disasters on firms in different sectors: implications for supply chains. J Supply Chain Manag 46(4):59–80

4. Balcik B, Bozkir CDC, Kundakcioglu OE (2016) A literature review on inventory management in humanitarian supply chains. Surv Oper Res Manag Sci 21(2):101–116

5. Banomyong R, Varadejsatitwong P, Oloruntoba R (2019) A systematic review of humanitarian operations, humanitarian logistics and humanitarian supply chain performance literature 2005 to 2016. Ann Oper Res 283:71–86

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