Considering that the traditional bonded fuel supply chain has problems such as weak trust relationship and low cooperation efficiency, which affect the profits of supply chain node enterprises. To this end, a two-level supply chain game model based on suppliers and distributors is built. First, the particle swarm optimization algorithm is used to estimate the supplier's profit function, and the initial game strategy of the supplier is obtained accordingly. Add the neural network to the ant swarm intelligence algorithm to make it optimize the operation, and finally realize the optimal matching of supplier and distributor business. Finally, the effectiveness of the proposed method for improving the collaborative optimization of the bonded fuel supply chain is verified by experiments.
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