Research on Production Process Quality Control Based on Multi-Stage Decision-Making Model

Abstract

This paper addresses the decision-making problem in quality control for the production of electronic products. Initially, a mathematical model is developed based on the defective rate of spare parts provided by the supplier, using hypothesis testing and Bayesian-based sequential testing. This model calculates the minimum number of sampling inspections required at different confidence levels, providing an efficient inspection scheme for enterprises. In the second part, a cost-benefit model is proposed to optimize decisions such as whether to test spare parts and finished products, and whether to disassemble unqualified products. The dynamic programming method is employed to solve the model, yielding the optimal solution that maximizes enterprise profits. The results of this study offer a theoretical framework for enterprises to design effective quality control strategies, which can significantly improve production efficiency, reduce costs, and enhance product quality. By optimizing quality control decisions, the proposed models contribute to reducing waste, improving resource allocation, and maintaining competitive advantage in the electronics industry, where product reliability is critical to success. The findings thus provide significant practical value for decision-making in electronic product manufacturing.