Research On Quality Prevention And Early Warning In The Production Process Of Screw Compressors

With the arrival of China’s economic transition period, the domestic industrial restructuring and upgrading to speed up, De-capacity and emphasis on product quality has become the focus of the development of the current stage of industrial reform.Screw compressor have a very wide range of uses, in all walks of life have a very great market prospects, with the aggravation of the market competition, enterprise is not only need for innovative technology products, is the need to perfect the quality of products. Therefore, the research on the screw type compressor and manufacturing production process quality prevention and early warning plays an very important role and significance.Based on enterprise data analysis and field investigation, the production status and characteristic of screw compressor business have further understanding, summarizes and analyzes the resources of production management, production process management and production quality control three factors influence on production process, through the analysis to improve the enterprise’s production process.This paper focuses on the study of the quality of screw compressor in the production process of factors, and through the mathematical model of the solution to predict the quality of production. First of all, through the analysis of enterprise production materials and field research, combined with previous studies, the 18 indicators of the factors affecting the production quality of screw compressor are determined. Combining with the production data and field survey data collation and analysis, to determine the influence factor of the data, application level analysis method and entropy method on Influence Factors of weight division, and by 3 Sigma principle to establish production quality prevention and early warning range, finally through the grey prediction model, establish quality crisis prevention and early warning scheme, and through establishment of quality prevention and early warning index and model, to Chengdu TY company as an example, the of production quality prevention and early warning forecasting, and test the alarm and validate the model’s Science and applicability.