With the continuous expansion of e-commerce business scale as well as the increasing variety, its supply chain inventory management is facing the complex multi-objective decision-making problem of balancing the total cost and total distribution time. Based on the ultimate goal of inventory management control and optimization, this paper constructs a set of e-commerce supply chain inventory performance evaluation system consisting of three primary indicators and 17 secondary indicators. Fuzzy hierarchical analysis is chosen as the calculation method of indicator weights, and the application steps of fuzzy hierarchical analysis are analyzed. Then the triangular fuzzy number method is used to convert fuzzy uncertain linguistic variables into definite values and accurately quantify the performance of the evaluation object. Combining the fuzzy hierarchical analysis method with the triangular fuzzy number operation method, the weights of the indicators of the performance evaluation system and the performance evaluation scores of P e-commerce supply chain inventory are calculated. Subsequently, fuzzy numbers are utilized to describe the product market price with ambiguity and target weights, and a fuzzy multi-objective decision-making model involving multi-level supply chain inventory is proposed. A genetic algorithm is introduced to solve the optimal solution set of the multi-objective optimization model. In the multi-objective optimization model solution for P supply chain inventory, the solution algorithm designed in this paper achieves a total cost lower than 450,000 yuan and a total delivery time lower than 57.5 hours after 60 iterations, and it is more stable.
