1. A stochastic look-ahead approach for hurricane relief logistics operations planning under uncertainty
- Author
-
Burak Eksioglu, Yanbin Chang, and Yongjia Song
- Subjects
Humanitarian Logistics ,Operations research ,Computer science ,Total cost ,Social cost ,media_common.quotation_subject ,General Decision Sciences ,ComputerApplications_COMPUTERSINOTHERSYSTEMS ,Management Science and Operations Research ,Stochastic programming ,Optimization and Control (math.OC) ,Theory of computation ,FOS: Mathematics ,State (computer science) ,Function (engineering) ,Look-ahead ,Mathematics - Optimization and Control ,media_common - Abstract
In the aftermath of a hurricane, humanitarian logistics plays a critical role in delivering relief items to the affected areas in a timely fashion. This paper proposes a novel stochastic look-ahead framework that implements a two-stage stochastic programming model in a rolling horizon approach to address the evolving uncertain logistics system state during the post-hurricane humanitarian logistics operations. The two-stage stochastic programming model that executes in this rolling horizon approach is formulated as a mixed-integer programming problem. The model aims to minimize the total cost incurred in the logistics operations, which consist of transportation cost and social cost. The social cost is measured as a function of deprivation for unsatisfied demand. Our extensive numerical results and sensitivity analysis demonstrate the effectiveness of the proposed approach in reducing the total cost incurred during the post-hurricane relief logistics operations compared to the two-stage stochastic programming model implemented in a static fashion.
- Published
- 2021