Research on the optimisation problem of goods allocation in logistics network based on simulated annealing algorithm

Abstract

When certain logistics nodes are out of service, based on the processing capacity of the remaining logistics nodes and the transport capacity of the transport routes, it is necessary to design a logistics adjustment scheme to minimise the impact of logistics node shutdown on the logistics network and to guarantee the normal operation of the logistics network. This paper establishes a cargo distribution optimisation model to study the cargo adjustment scheme after the shutdown of logistics node DC5, and uses the simulated annealing algorithm to solve the problem with the objective function of minimising the total amount of cargo change. The final result is: in all the adjusted routes, there is no overloading, and a total of three routes have a load rate of 100 per cent, respectively: 69→8, 69→14, 69→62, of which the load rate of 0 accounted for 66.49 per cent of the routes, and the average load rate is 5.29 per cent. This study helps to improve the emergency response capability of the logistics system and provides scientific support for cargo distribution decisions.