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

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).

Use of OR in earthquake operations management: A review of the literature and roadmap for future research

“…Table 8 gives a detailed breakdown of preparedness related studies based on problem type and methodology used. Heuristic [96][97][98][99][100][101][102][103][104][105][106][107][108] Decision analysis [85,102] Game theory [109] AI [86] Pre-positioning medical centers Mathematical programing [110] Relief inventory management Mathematical programing [81][82][83][84][85][86][87][91][92][93][94][95][111][112][113] Heuristic [98-100,104-108] AI [86] Simulation [111] Stochastic modeling [114] Staff planning Simulation [115][116][117] Machine learning [117] Heuristic [118] Shelter site location…”

“…Most of the studies reviewed consider distribution of multiple commodities but do not give specifics. One study looks specifically at medical supply distribution to hospitals [81] and a couple at blood distribution [86,87].…”

A Location-Routing Model for Assessment of the Injured People and Relief Distribution under Uncertainty

“…The literature is rich in using the application locationrouting models for different supply chain concepts [16][17][18][19][20][21][22]. To close to nature of real-world application, uncertainty modeling is an active keyword for logistics network from recently-published papers [23][24][25][26][27][28][29][30][31][32]. Here, we review some recent and most relevant works related to our scope of research.…”

Kentsel Arama Kurtarma Birliklerinin YerleĢim Yeri Problemi Çözümünde Matematiksel Programlama ve Simülasyon YaklaĢımları: Ġstanbul Örneği

“…Sen ve arkadaşları [10] veri iletişiminin literatür araştırmasını yaparak bu konudaki son akademik çalışmaları sınıflandırmışlardır. Sağlık araçlarının yerleşim yerlerinin seçiminde genellikle ambulans [11,12], itfaiye [13,14] gibi acil yardım araçlarının istasyon yeri, insani yardım yeri [15][16][17] seçimleri yapılmıştır. Yapılan akademik çalışmalardan afet ve acil durumların etkilerinin azaltılması, zayiatlarına önlenmesi ile birlikte ekonomik ve sosyal kayıpların en aza indirilmesi hedeflendiği anlaşılmaktadır.…”