International Journal of Management and Applied Science (IJMAS)
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Statistics report
Jun. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 61
Paper Published : 3968
No. of Authors : 8139
  Journal Paper




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


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