DocumentCode
3033486
Title
Agile logistics simulation and optimization for managing disaster responses
Author
Barahona, Francisco ; Ettl, M. ; Petrik, M. ; Rimshnick, Peter M.
Author_Institution
IBM T.J. Watson Res. Center, Yorktown Heights, NY, USA
fYear
2013
fDate
8-11 Dec. 2013
Firstpage
3340
Lastpage
3351
Abstract
Catastrophic events such as hurricanes, earthquakes or floods require emergency responders to rapidly distribute emergency relief supplies to protect the health and lives of victims. In this paper we develop a simulation and optimization framework for managing the logistics of distributing relief supplies in a multi-tier supply network. The simulation model captures optimized stocking of relief supplies, distribution operations at federal or state-operated staging facilities, demand uncertainty, and the dynamic progression of disaster response operations. We apply robust optimization techniques to develop optimized stocking policies and dispatch of relief supplies between staging facilities and points of distribution. The simulation framework accommodates a wide range of disaster scenarios and stressors, and helps assess the efficacy of response plans and policies for better disaster response.
Keywords
emergency management; goods distribution; logistics; optimisation; simulation; supply chain management; agile logistics simulation; catastrophic events; demand uncertainty; disaster response management; disaster scenarios; disaster stressors; distribution operations; earthquakes; emergency relief supplies; federal-operated staging facilities; floods; hurricanes; multitier supply network; optimization framework; optimized stocking policies; relief supplies dispatch; relief supplies stocking; robust optimization techniques; simulation model; state-operated staging facilities; Computational modeling; Optimization; Robustness; Stochastic processes; Supply chains; Transportation; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), 2013 Winter
Conference_Location
Washington, DC
Print_ISBN
978-1-4799-2077-8
Type
conf
DOI
10.1109/WSC.2013.6721698
Filename
6721698
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