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

In the aftermath of a hurricane, humanitarian logistics plays critical role in delivering relief items to affected areas timely fashion. This paper proposes novel stochastic look-ahead framework that implements two-stage programming model rolling horizon approach address evolving uncertain system state during post-hurricane operations. The executes this is formulated as mixed-integer problem. aims minimize total cost incurred operations, which consist transportation and social cost. measured function deprivation for unsatisfied demand. Our extensive numerical results sensitivity analysis demonstrate effectiveness proposed reducing operations compared implemented static