Research on key problems of electronic product production process based on hypothesis testing and integer programming

Abstract

In the fierce competition pattern of modern electronic product manufacturing industry, quality control and production decision optimization are the key to improve the economic benefits and market competitiveness of enterprises. In this paper, a set of solutions based on hypothesis testing and integer programming is proposed for the evaluation and reception of spare parts in the production process of electronic products, production decision optimization and other issues. First of all, this paper uses the hypothesis test method to establish a sampling detection model, and realizes the specific sampling detection scheme with as few detection times as possible in the face of the problem of different reliability detection under the total condition of the defective rate of 0.1. Secondly, aiming at the multi-stage decision-making problem in the production process, this paper establishes an integer programming model and combines the Monte Carlo simulation algorithm to optimize the production decision. The model constructed in this study can provide theoretical reference and technical support for the production quality control and decision optimization of electronic products.