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      A Stochastic Lookahead Approach for Hurricane Relief Logistics Operations Planning under Uncertainty

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          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 lookahead framework that implements a two-stage stochastic programming model in a rolling horizon fashion 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 framework is formulated as a mixed-integer programming problem. The model aims to minimize the sum of transportation and social costs. The social cost is measured as a function of deprivation for unsatisfied demand. Our extensive numerical experiment 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 approach.

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          Author and article information

          Journal
          04 June 2020
          Article
          2006.03218
          0f5a8ca2-38ee-4e47-b0b0-0a09f5df1134

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          math.OC

          Numerical methods
          Numerical methods

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