Журнал Российского общества по неразрушающему контролю и технической диагностике
The journal of the Russian society for non-destructive testing and technical diagnostic
 
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05 | 10 | 2022
2019, 05 May

DOI: 10.14489/td.2019.05.pp.032-036

 

Danilevich S. B., Golobokov M. V., Tretyak V. V.
METROLOGICAL SUPPORT OF SELECTIVE MULTI-PARAMETRIC CONTROL
(pp. 32-36)

Abstract. The development of methods for selective measurement control of commercially available products, the quality of which is characterized by a number of parameters, is considered. At the same time, it is necessary to establish reasonable requirements for the accuracy of measurement of parameters, as well as the sample size of controlled products. If the controlled parameters are correlated, the problem of optimizing their number arises.Using the Monte Carlo method (simulation modeling), we investigated the effect of measurement uncertainty and the sample size of controlled products on control reliability indicators. The average risks of the customer and the manufacturer are calculated while monitoring samples of products of various volumes. The calculations were made under the assumption that the quality of each product is characterized by 30 uncorrelated parameters. It is shown that in the considered case there is an almost linear dependence of the mentioned risks on the volume of the controlled sample of products.

Keywords: product quality, sampling accuracy, customer and manufacturer risks, measurement uncertainty, sample size.

S. B. Danilevich (Novosibirsk Branch of Academy of Standardization, Metrology and Certification; Novosibirsk State Technical University (NSTU), Novosibirsk, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
M. V. Golobokov (State Regional Center for Standardization, Metrology and Testing in the Novosibirsk Region (FBU “Novosibirsk CSM”), Novosibirsk, Russia)
V. V. Tretyak (Novosibirsk State Technical University (NSTU), Novosibirsk, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

 

 

1. Danilevich S. B., Tret'yak V. V. (2018). Metrological assurance of reliability of control results. Kontrol'. Diagnostika, (7), pp. 56-60. [in Russian language] DOI: 10.14489/td.2018.07.pp.056-060
2. Korchak V. Yu., Makuha V. S., Shekhvatov O. P. (2006). Providing and controlling the quality of defense products. Kompetentnost', (8), pp. 2-9. [in Russian language]
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4. Golobokov M. V., Danilevich S. B. (2018). Estimation of the reliability of temperature measurement results when calibrating pyrometers. Metrologiya, (3), pp. 50-60. [in Russian language]
5. Rubichev N. A., Frumkin V. D. (1990). Reliability of tolerance quality control. Moscow: Izdatel'stvo standartov. [in Russian language]
6. Measurement (methods) techniques. (2009). Ru Standard No. GOST R 8.563–2009 GSI. Russian Federation. Moscow. [in Russian language]
7. Danilevich S. B., Kolesnikov S. S., Pal'chun Yu. A. (2011). The use of simulation in the certification of methods of control and testing. Izmeritel'naya tekhnika, (7), pp. 70- 73. [in Russian language]
8. Danilevich S. B. (2016). Evaluation of the reliability of the results of selective measurement control, taking into account the measurement uncertainty. Pribory i sistemy. Upravlenie, kontrol', diagnostika, (2), pp. 41-44. [in Russian language]
9. Danilevich S. B., Knyazhevskiy V. V. (2005). Optimization of selective measurement control products. Metody menedzhmenta kachestva, (8), pp. 32-35. [in Russian language]

 

 

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