Data Availability

With the development of Internet of Things technology, analysing the features of uncertainty and multiple periodicity in emergency materials distribution environment, this paper presents a novel multi-objective model to solve the periodic vehicle routing problem (PVRP) in emergency logistics. To solve the suggested model, a three-step optimization method is proposed, which consists of the uncertainty elimination step with triangular fuzzy number, the single target function transformation step with analytic hierarchy process and the model solving step with improved ant colony optimization (ACO) algorithm. As the core of suggested method, through changing the transition probability formula by the emergency supply demand, updating pheromone by the ant-cycle model, and renewing the periodic demand of emergency supply dynamically, we improve the ACO algorithm using emergency domain features. The effectiveness of proposed method is validated by the solving of PVRP with classic data set, and the simulation results analysis shows the main advantages about the overall satisfaction degree and the fairness degree through applying the improved ACO algorithm.