Method and system for controlling quality consistency of gallium arsenide product

Abstract

A method for controlling quality consistency of a gallium arsenide product comprises the following steps of 1, arranging historical process data for forming an original model sample database; 2, performing mathematical modeling on the process data in a production process by means of an artificial neural network; and 3, performing product quality forecasting, namely performing final product qualityforecasting by means of a mathematical model through the process data of the step, and after product finishing, comparing actual data of the product with forecast result data, thereby generating a product quality model report.

Description

technical field [0001] The invention relates to the technical field of product quality control, in particular to a method and system for controlling the quality consistency of gallium arsenide products. Background technique [0002] The production of gallium arsenide microwave devices and integrated circuits has the characteristics of complex process, multi-variety and small batch production, high consistency requirements, short product delivery period and high quality level requirements. The final management of product quality at the production site of gallium arsenide microwave devices is based on the "total quality management" method. [0003] In 1961, Feigenbaum of General Electric Company of the United States published the book "Total Quality Management", emphasizing that the implementation of quality functions is the responsibility of all personnel in the company, and all personnel should have the concept of quality and assume the responsibility for quality. After man...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention proposes a quality control mode based on automatic collection of production process quality data and real-time calculation of data models, mainly aiming at the problem of insufficient quality risk control and process control ability in the production process of gallium arsenide devices. Based on the huge data collected, establish a mathematical model with self-learning, predict the consistency of product quality through mathematical model operations, and build a preventive quality control system that can control quality risks in real time during the production process. Then guide the production to achieve the purpose of controlling the quality consistency of gallium arsenide product quality consistency control method, the specific technical plan is as follows:

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