Commercial Vehicle Supply Chain Network Design Based on 0-1 Planning Model

Proper planning of the commercial vehicle supply chain is conducive to improving work efficiency and reducing transportation costs. In this paper, the Dijkstra algorithm is used to solve the neighboring weight matrix between different cities. The 0-1 planning model is established by distance, fixed cost and demand, and the optimal total cost scheme is calculated by genetic algorithm. The simulated annealing algorithm is used to solve the problem of minimum road damage in the case of a certain increase in total cost, which is convenient for the transportation company to make rational adjustments of the commercial vehicle supply chain network.