Research on robust decision of emergency material distribution for chain retail supply chain

The challenges to the dispatch of emergency material distribution have been posed based on the dynamic of emergency logistics environment, the diversity of emergency material demand and the time-varying of emergency material demand and supplies in chain retail supply chain. The urgent of emergency logistics requires to furthest assure material supplies of the disaster-affected area. It is required that the distribution cost of emergency logistics is minimized in chain retail supply chain. Therefore, this paper created a nonlinear dynamic multi-objective programming model for the emergency material distribution of chain retail supply chain with multi-point rescue, multi-point disaster and multimaterial types. It proposed a robust decision-making algorithm for emergency supplies distribution in chain retail supply chain based on CS-GA to minimize the transportation costs and demand costs of emergency supplies. The feasibility and effectiveness of the models and algorithms are verified by the numerical experiments. The results of the numerical experiments show that the robust decision-making model and algorithm for emergency material distribution improve the efficiency and satisfaction rate of distribution and reduce the emergency distribution cost of chain retail supply chain.