A graph theory-based financing decision path optimization model in a new supply chain finance environment

This paper points out the main players in the supply chain finance model, uses Dijkstra's algorithm to calculate the shortest path between each node in the initial supply chain network, incorporates the META graph theory method, constructs the supply chain META graph, and calculates the core enterprise based on the matrix of the supply chain META pathway.Consider the impact of default risk on the optimal financing decisions of distributors, manufacturers and banks under the supply chain financing model of inventory pledge.Propose the optimization path of enterprise financing decision scheme under the collateral credit supply chain financing model.Combined with the numerical simulation method, the evolution path of the three parties is analyzed to explore the influence of different variable values on the financing decision.Under the order pledge financing model, the dealer's optimal order quantity is inversely related to the bank loan interest rate.The higher the loan interest rate is, the higher the financing cost of the dealer is, leading to a decrease in its order quantity.When, the probability of the enterprise's choice of loan, the probability of the supplier's choice of fulfillment both tends to 1.The larger the penalty, the faster the tendency to 1.That is, both parties will choose a cooperative strategy (loan, performance).Since suppliers embedded in supply chain finance, the cost of default is increased, and they choose to perform in the long term, so supplier credit will form a benign development in the supply chain finance financing model.