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Abstract
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The machine-building is the main branch of the national economy. Its development is the determinative factor for increasing product quality of many other branches of the national economy. The products quality is the most important criterion of a machine-building enterprise activity, which determines its success indicators in the market. This paper aims to study the design issue of a quality control system that enables machine-building enterprises to manufacture high-quality market-competitive products. Previous scientific investigation regarding statistical methods of product quality control quite frequently proved their inadequacy and inefficiency on all its life-cycle stages. As a result, this research suggests the basic principles for creating a universal integrated product quality control system, using the «theory of order statistics»; as well as the application of «asymptotic» and «symmetric» distributions of extreme values of random variables. While ensuring reassigned (required) dimensional accuracy, this system reduces series production, allows a large amount of information from a small size of control samples to be obtained, saves the time and expenses on manufacturing machine-building products.
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