Abstract: With the deepening of research of emergency management, the emergency resource optimization configuration in the emergency preparation stage is the prerequisite and basic guarantee for the effective implementation of rescue work after emergency. Based on the research of domestic and foreign related research, the emergency resource security strategy considering supplier participation mechanism is proposed in facing earthquake disasters. During the pre-disaster phase, the cooperation mechanism between government and suppliers is established by selecting suppliers to achieve the selection and resource allocation of government reserve warehouses. After disasters strike, the time-phase demand for emergency resources during rescue are either dispatched from the government reserve warehouses or supplier production capacity, with a view to coordinating the ratio of suppliers to government reserves, pre-disaster physical procurement and procurement of post-disaster production capacity. Therefore, the cost of the emergency resource security system is reduced while ensuring rescue efficiency.
In this paper, with earthquake disasters being characterized by the uncertainty of demand, a robust optimization model for two-stage decision-making of disaster preparedness and disaster rescue with a set of uncertainty defined by the L1 -norm is equal to a solvable formulation. The duality theory and uncertainty sets are adopted to transform the robust model into a deterministic model that can be solved by CPLEX. Finally, a case study focused on the 2010 earthquake at Yushu County in Qinghai Province of China illustrates the application of the proposed model. The advantage of the robust model is demonstrated through comparison the stochastic model and deterministic model for the same problem. Sensitivity analysis shows the impact of minimum agreement amount, maximum order quantity and production capacity on total cost, which provides a good reference for actual decision makers offers managerial insights for government agencies.

Key words: earthquake rescue, supplier participation, uncertain demand, robust optimization model