DOI: 10.1007/s11069-021-04639-3
论文题名: A stochastic programming model for tactical product prepositioning at domestic hunger relief organizations impacted by natural hazards
作者: Marthak Y.V. ; Pérez E. ; Méndez Mediavilla F.A.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2021
卷: 107, 期: 3 起始页码: 2263
结束页码: 2291
语种: 英语
中文关键词: Decision making
; Disaster relief
; Food banks
; Prepositioning of supplies
; Stochastic programming
英文关键词: computer simulation
; decision making
; disaster management
; disaster relief
; food supply
; hunger
; hurricane
; natural hazard
; numerical model
; risk assessment
; stochasticity
; United States
英文摘要: Disaster response involves the planning, coordination, and distribution of supplies in an effective manner to people in need. Recent natural hazards, such as hurricane Harvey, have exposed the complexities and challenges associated with those tasks. In this paper, a stochastic programming model is presented which considers prepositioning strategies among food bank facilities located in high-risks areas for hurricanes. The model considers the uncertainty associated with the impact of the hurricane at each facility in terms of the number of available supplies, donations received at the facility, and the expected demand for their service region. The first-stage decision attempts to minimize the number of people not receiving the needed supplies by prepositioning the existing supplies at each facility. Second-stage decisions maximize the system responsiveness by trying to satisfy the observed demand for the scenarios under consideration. The experiments consider scenarios in which one or two food bank facilities are shut down after the natural phenomenon and study the impact of prepositioning supplies. © 2021, The Author(s), under exclusive licence to Springer Nature B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/169213
Appears in Collections: 气候变化与战略
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作者单位: Ingram School of Engineering, Texas State University, 601 University Drive, San Marcos, TX 78666, United States; Department of Computer Information Systems and Quantitative Methods, Texas State University, 601 University Drive, San Marcos, TX 78666, United States
Recommended Citation:
Marthak Y.V.,Pérez E.,Méndez Mediavilla F.A.. A stochastic programming model for tactical product prepositioning at domestic hunger relief organizations impacted by natural hazards[J]. Natural Hazards,2021-01-01,107(3)