THE LOCATION-INVENTORY PROBLEM CONSIDERING FACILITY DISRUPTION USING NONDOMINATED SORTING GENETIC ALGORITHM-II IN THE EARTHQUAKE DISASTER

Rapid and effective distribution of emergency supplies is helpful to reduce the loss of life and property after massive earthquakes. Compared with the first week after the earthquake, the emergency relief and material allocation in the second week have some new characteristics. Defining the second week after the earthquake as the later period of emergency relief, a bi-objective location-inventory problem (LIP) model during this period with facility disruption scenario, multi-species uncertain material demand, and limited facility capacity is proposed in this paper. The goals are to maximize the degree of disaster relief satisfaction and to minimize the system cost. A Non-dominated Sorting Genetic Algorithm-II (NSGAII) is given to solve the model. A series of Pareto solutions can be obtained by NSGAII. The desired decision scheme according to actual needs can be selected by decision makers.