Paper Title :A Framework to Robust Stochastic Optimization for Humanitarian Logistics
Author :Wapee Manopiniwes, Takashi Irohara
Article Citation :Wapee Manopiniwes ,Takashi Irohara ,
(2017 ) " A Framework to Robust Stochastic Optimization for Humanitarian Logistics " ,
International Journal of Management and Applied Science (IJMAS) ,
pp. 119-123,
Volume-3,Issue-3
Abstract : We propose a framework to robust stochastic optimization model for disaster management planning; in particular,
we address making integrated decisions about the distribution of relief supplies and evacuation operations. Our
decision-making approach recommends the best relief distribution centers to use as storage locations and determines their
optimal inventory levels. The model also incorporates the priorities for the evacuation of particular communities, as well as
specific disaster scenarios with estimates of the transportation needs and demand for aid. Our model attempts to minimize the
sum of the expected value and the variance of the total cost of the relief chain. We present a case study that uses a flood hazard
map and determines the distribution of aid for a flood emergency in Thailand.
Index Terms— facility location, humanitarian logistics, robust stochastic optimization
Type : Research paper
Published : Volume-3,Issue-3
DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-7563
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Copyright: © Institute of Research and Journals
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Published on 2017-06-08 |
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