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Disaster Relief Routing Under Uncertainty: A Robust Optimization Approach

This report addresses the capacitated vehicle routing problem (CVRP) and the split delivery vehicle routing problem (SDVRP) with uncertain travel times and demands when planning vehicle routes for delivering critical supplies to the affected population in need after a disaster. A robust optimization approach is used to formulate the CVRP and the SDVRP with uncertain travel times and demands for five objective functions: minimization of the total number of vehicles deployed (minV), minimization of the total travel times/travel costs (minT), minimization of the summation of arrival times (minS), minimization of the summation of demand-weighted arrival times (minD), and minimization of the latest arrival time (minL).

Project Details

Author(s): 
Sung Hoon Chung
Universities: 
State University of New York (SUNY)
Publication Year: 
2017
Publication Type: 
Final Report
Project: 
Disaster Relief Vehicle Routing
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