Hybrid algorithm for measuring manufacturing process multivariate quality capacity

Abstract

The invention provides a hybrid algorithm for measuring manufacturing process multivariate quality capacity. The original data of the quality characteristics in the manufacturing process are collected to perform data preprocessing; a covariance matrix represents the correlation between multivariate quality based on the conventional algorithm, the process quality capacity coefficient is represented by using the ratio of the specification correction volume to the process volume and the process quality capacity coefficient is represented by using a statistical method so that the function most suitable for representing the process quality capacity coefficient is obtained by integration of the two methods; the stability and the abnormal phenomenon are judged according to the data recorded by a control chart so as to find out the process abnormal source. The process capacity coefficient condition is rigorous, state judgment is accurate, the algorithm complexity is low, the processing time is short and reference processing is more rigorous, and the correlation between the multivariate quality, the misjudgment factor and the principal component analysis method are integrated so that the accuracy of the function presenting the process capacity can be better enhanced, the actual situation can be further met and a great foundation can be laid for the subsequent manufacturing process diagnosis technology.

Description

technical field [0001] The invention relates to the technical field of quality control in the processing and manufacturing process of mechanical products, in particular to a mixed algorithm for measuring multivariate quality capabilities in the manufacturing process. Background technique [0002] In the 21st century, with the development of global economic integration, the competition in the international market is becoming increasingly fierce. Like time and cost, quality has become the main winning factor for the survival and development of enterprises. The extensive application of advanced quality methods and technologies at home and abroad is of great significance for enterprises to improve product quality and enhance product competitiveness. Good quality is the guarantee of low cost, high efficiency, low loss and high profit, and it is also the cornerstone of long-term customer loyalty and sustainable development of enterprises. Although the recent hot spots in Chinese ...

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Problems solved by technology

Since the traditional process capability analysis is mostly aimed at the unitary production process, it generally does not consider the multivariate quality characteristics in the production process. However, it is not uncommon that there are multiple quality characteristic values ​​in the actual production process. The traditional unitary process capability analysis It is no longer suitable for such a multivariate quality characteristic production process. Therefore, how to measure and calculate the multivariate process capability index, evaluate the multivariate process capability through a single value, conduct process capability analysis, and then predict the process production capacity has important theoretical significance and practical value.

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