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一种用于灾害管理中医疗物资选址与分配决策的随机规划模型。

A Stochastic Programming Model for Decision-Making Concerning Medical Supply Location and Allocation in Disaster Management.

作者信息

Barri Khojasteh Samad, Macit Irfan

机构信息

1Sakarya University,Department of Industrial Engineering,Sakarya,Turkey.

2Cukurova University,Department of Industrial Engineering,Adana,Turkey.

出版信息

Disaster Med Public Health Prep. 2017 Dec;11(6):747-755. doi: 10.1017/dmp.2017.9. Epub 2017 Jun 5.

DOI:10.1017/dmp.2017.9
PMID:28580891
Abstract

We propose a stochastic programming model as a solution for optimizing the problem of locating and allocating medical supplies used in disaster management. To prepare for natural disasters, we developed a stochastic optimization approach to select the storage location of medical supplies and determine their inventory levels and to allocate each type of medical supply. Our model also captures disaster elaborations and possible effects of disasters by using a new classification for major earthquake scenarios. We present a case study for our model for the preparedness phase. As a case study, we applied our model to earthquake planning in Adana, Turkey. The experimental evaluations showed that the model is robust and effective. (Disaster Med Public Health Preparedness. 2017;11:747-755).

摘要

我们提出了一种随机规划模型,作为优化灾害管理中医疗用品定位和分配问题的解决方案。为应对自然灾害,我们开发了一种随机优化方法,以选择医疗用品的存储地点,确定其库存水平,并分配每种类型的医疗用品。我们的模型还通过对主要地震场景的新分类来捕捉灾害细节和灾害可能产生的影响。我们给出了模型在备灾阶段的一个案例研究。作为案例研究,我们将模型应用于土耳其阿达纳的地震规划。实验评估表明该模型是稳健且有效的。(《灾害医学与公共卫生防范》。2017年;11:747 - 755)

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