Product Design Optimization Decision Method for Advanced Manufacturing and Supply Chain Based on CUR Matrix Decomposition

Product family design has unique advantages in responding to the constantly segmented global economic market and personalized customer needs. However, existing research on product family design based on personalized requirements for product module configuration rarely considers the impact of the supply chain in intelligent manufacturing. To address the above issues, this article develops a product design optimization process decision-making method for advanced manufacturing and supply chain based on CUR matrix decomposition. Firstly, based on the customer’s functional requirements C matrix and module relationship R matrix, perform customer clustering and corresponding product configuration. Secondly, based on quality/quality requirements, divide functional module levels and initial supplier configuration. Finally, determine the supplier configuration for each module with the goal of maximizing total profit. Analyze the customer selection, classification, and product configuration process of a contactor as a case study. The research results indicate that the optimization decision-making method based on CUR matrix decomposition can effectively obtain the optimal solution of the decision-making problem.