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A stochastic look-ahead approach for hurricane relief logistics operations planning under uncertainty.
- Source :
-
Annals of Operations Research . Dec2022, Vol. 319 Issue 1, p1231-1263. 33p. - Publication Year :
- 2022
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *STOCHASTIC programming
*HURRICANES
*EXTERNALITIES
*UNCERTAIN systems
*LOGISTICS
Subjects
Details
- Language :
- English
- ISSN :
- 02545330
- Volume :
- 319
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Annals of Operations Research
- Publication Type :
- Academic Journal
- Accession number :
- 160764416
- Full Text :
- https://doi.org/10.1007/s10479-021-04025-z