Open AccessSampling method for evaluation and control of industrial product quality
Author(s) -
Svetlana Lukina,
В. М. Макаров,
Sergeĭ Ovchinnikov,
O. Zimovets
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/971/3/032082
Subject(s) - quality (philosophy) , product (mathematics) , sampling (signal processing) , control (management) , industrial production , computer science , process (computing) , frame (networking) , manufacturing engineering , statistical process control , set (abstract data type) , industrial engineering , reliability engineering , engineering , mathematics , artificial intelligence , philosophy , geometry , filter (signal processing) , epistemology , computer vision , telecommunications , keynesian economics , economics , programming language , operating system
The article develops a sampling method to control and evaluate the quality of industrial products. The method allows for a comprehensive quality evaluation at designing and controlling industrial product manufacture. The method is based on a set of mathematical and statistical models of forming a sampling frame of industrial product parameters. It takes into account the factors of the company’s external and internal environment, control over decision making process (DMP), quality evaluation by a sum of partial indicators of ten groups. The method developed is automated with the help of the software MathCad Prime. The industrial approbation of the method showed its efficiency for the solution of production tasks related to the evaluation and control of industrial product quality at various stages of product and manufacturing life cycles.