Abstract
The article considers simulation and assessment of metal products quality with reliable quantification methods in the context of a stable production process. The authors note that such methods include a multivariate statistical quality analysis which ensures a partial or complete refusal of direct testing (destructive methods) and change-over to a statistical quality control. Being collected by the plant laboratory in a two-year span, the results of acceptance tests of fasteners of eight standard sizes have been used to form the original array. The authors pay a special attention to the formation of statistical data arrays and the improvement of their information value. The article gives examples of the certification model development for various standard sizes of fasteners. The authors have analyzed previously certified models in terms of strength grades under conditions of existing production technologies. It has been found out that a strength-grade quality level can be determined quite accurately when using certification models.
Keywords
Technical and economic analysis, mathematical model, product quality control, production technology, multivariate statistical analysis, metal products.
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