Study on Production Decision Making of Electronic Products-Based on Multi-stage Optimisation Model

Abstract

With the progress of science and technology, how to optimise the production of electronic products has become a very important issue, because it can control the quality of parts and reduce the cost. This paper investigates the production optimization of electronic products and analyzes the defective parts rate and finished product rate of spare parts through Monte Carlo, binomial distribution and multi-objective optimization models. A hierarchical decision-making model is established to optimize the production stages, and the total cost and net profit for six cases are calculated by combining heuristic decision-making and iterative optimization. Finally, decision trees and multi-objective optimization were used to determine the optimal failure rate. It was found that spare parts should be rejected at 95% confidence level and acceptable at 90% confidence level, with case 5 having the highest net profit and the optimal failure rate threshold of 0.01, which helps to improve the quality of parts and reduce costs.