Research on post-disaster emergency material's mobilization production considering raw material supply

After a disaster, emergency production will become significant method for ensuring emergency material's demand, if the storage can not satisfy emergency material's demand. Implementation of the government's mobilization policy and change in raw material supply was introduced to describe its influence to emergency material production capacity. A multi-objective programming model for emergency material production and transportation was established to minimize the time of emergency material to the disaster area and minimize the total production and transportation cost. The model contained multiply species of raw material suppliers, multiple emergency material manufacturers and one affected area. The paper applied the NSGA-Ⅱ (Non-dominated Sorting Genetic Algorithm Ⅱ) to the solution of the model and produced Pareto optimal solution set, which could provide decision makers with a variety aids decision-making solutions of emergency materials mobilization production. Simulation case analysis shows that the government needs to implement a plan to mobilize manufacturers and suppliers in order to maximize the manufacturer's productivity advantage.