01046166

Component

https://doi.org/10.3141/2022-08

http://scholar.google.com...uven&publication_year=2007

The impacts of disasters have recently attracted increased attention from researchers and policy makers. However, there has been little consensus about how an efficient inventory management model can be developed for postdisaster conditions. Victims of a disaster are generally gathered into shelters during and after a severe disaster to ensure their security. Many evacuees do not have the financial resources to leave the disaster area or to find food, drugs, and other necessities. Hence, their vital needs should be supplied efficiently throughout the disaster and postdisaster periods. Without an adequate stock of goods, satisfying the daily requirements of the victims without disruption might be problematic. To solve this problem, humanitarian inventory control models that can aid in adequately responding to a disaster or a humanitarian crisis are needed. In this context, response represents preparedness, planning, assessment, appeal, mobilization, procurement, transportation, warehousing, and distribution. This paper is concerned with the development of a subproblem of the general humanitarian supply chain problem: an efficient and quick-response humanitarian inventory management model able to determine the safety stock that will prevent disruptions at a minimal cost. The humanitarian inventory management problem is first mathematically formulated as a version of the Hungarian Inventory Control Model. A solution to this time-dependent stochastic model is then proposed by using the p-level efficient points algorithm. The single commodity case results are given, and a sensitivity analysis of the model vis-à-vis various model parameters that affect safe inventory levels is conducted.

01088186

English

pp 63-75

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104494

Print

Figures (5) ; References (16) ; Tables (2)

Disaster preparedness; Disaster relief; Disasters; Disasters and emergency operations; Emergency management; Emergency response time; Inventory control; Mathematical models; Stochastic processes; Strategic planning; Supply chain management; Victims

Emergency response planning; Humanitarian assistance

Data and Information Technology; Freight Transportation; Highways; Planning and Forecasting; Security and Emergencies; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Feb 8 2007 7:52PM

• Dynamic Network Simplex Method for Designing Emergency Evacuation Plans
• Emergency Logistics Issues Affecting the Response to Katrina: A Synthesis and Preliminary Suggestions for Improvement
• Impact of Probabilistic Road Capacity Constraints on the Spatial Distribution of Hurricane Evacuation Shelter Capacities
• Implementation of Spatiotemporal Model for Infrastructure Reconstruction Strategy Under Large-Scale Disaster
• Information Sharing During Emergency Response and Recovery: A Framework for Road Organizations
• Modeling the Hurricane Evacuation Response Curve
• Optimal Allocation of Multiple Emergency Service Resources for Protection of Critical Transportation Infrastructure
• Optimizing Protective Measures with Respect to Multiple Hazards
• Survivability Analysis of Large-Scale Intelligent Transportation System Networks
• Testing a Flexible Geographic Information System–Based Network Flow Model for Routing Hurricane Disaster Relief Goods