A stochastic look-ahead approach for hurricane relief logistics operations planning under uncertainty

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 ad...

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Bibliographic Details
Published in:Annals of operations research 2022-12, Vol.319 (1), p.1231-1263
Main Authors: Chang, Yanbin, Song, Yongjia, Eksioglu, Burak
Format: Article
Language:English
Subjects:
Business and Management
Combinatorics
Decision making
Deprivation
Disaster relief
Disasters
Earthquakes
Emergency management
Emergency preparedness
Fashion models
Horizon
Humanitarian aid
Humanitarianism
Hurricanes
Integer programming
Logistics
Mixed integer
Operating costs
Operations research
Operations Research/Decision Theory
Optimization
Planning
S.I. : Design and Management of Humanitarian Supply Chains
Sensitivity analysis
Social costs
Stochastic models
Stochastic programming
Theory of Computation
United States
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Summary: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.
ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-021-04025-z