ELECTRONIC PRODUCT ASSEMBLY DECIS-ION BASED ON THE DUAL PERSPECTIVES OF QUALITY AND COST

This paper aims to solve the problem of quality and cost control in the process of electronic product assembly. Through the cost-benefit analysis of each link in the assembly process, the mathematical model is constructed and the optimal decision-making scheme is proposed. The model comprehensively considers the defective rate of parts and finished products, detection cost, assembly cost, market price and other factors, aiming to achieve the best balance between product quality assurance and cost saving. Firstly, two sampling schemes are designed and compared, and a more economic binomial distribution scheme is recommended. Then according to the actual situation encountered in production, the cost and benefit of detecting spare parts, finished products and disassembling unqualified finished products are analyzed, and the optimal decision scheme is obtained after comparing the experimental data. In addition, taking two processes and eight spare parts as examples, three decision-making schemes are proposed to meet different needs. The experimental results can provide decision support for product assembly, help reduce costs, improve product quality and enhance market competitiveness.