Research on dynamic scheduling of supply inventory distribution in uncertain environment

Abstract

With the development of China’s economy, various manufacturers have formed a supply inventory distribution network to meet more customer demands and improve production efficiency, and the dynamic scheduling of the network is particularly important. However, there are various uncertainties that can affect the stability of operation in the distribution network. In this study, in order to solve the dynamic scheduling problem in uncertain environment, the optimal solution of dynamic scheduling of supply inventory in uncertain environment was calculated based on the adaptive genetic algorithm, the validity of the genetic algorithm and adaptive genetic algorithm was compared and verified by numerical simulation experiment on Matlab, and the influencing factors of cost were analyzed. The results showed that: (1) the adaptive genetic algorithm was more efficient than genetic algorithm in solving the optimal solution of dynamic scheduling; (2) the cost of dynamic scheduling tended to decrease first and then increase with the increase of the maximum lead time of the manufacturers.