Журнал Российского общества по неразрушающему контролю и технической диагностике
The journal of the Russian society for non-destructive testing and technical diagnostic
 
| Русский Русский | English English |
 
Главная
23 | 11 | 2024
2021, 03 March

DOI: 10.14489/td.2021.03.pp.060-064

Danilevich S. B., Tretyak V. V.
RISKS IN QUALITY CONTROL OF SERIALLY PRODUCED PRODUCTS
(pp. 60-64)

Abstract. Product quality control methods must be effective, that is, ensure minimal risks of making erroneous decisions during control. Uncertainty of measurements during control and other factors lead to errors of the 1-st kind (a good product is rejected) or 2-nd kind (the wrong one is mistakenly accepted). The indicators of the quality control of mass-produced products are the risks of the customer and the manufacturer. The accuracy of these risks assessment depends on a number of factors, including the batch size. When developing and certifying control methods, it is proposed to use the upper confidence limits of the indicated risks. It was proposed to find these confidence limits and requirements for the measurement accuracy during control by the Monte Carlo method (simulation). The article discusses examples of determining the reliability of control depending on the accuracy of measurements, taking into account the volume of the batch of products.

Keywords: multiparameter testing, accuracy of the testing, risk of a customer, risk of a producer, Monte Carlo method, imitation modeling, uncertainty of measurement.

S. B. Danilevich (Novosibirsk Branch of Academy of Standardization, Metrology and Certification; Novosibirsk State Technical University (NSTU), Novosibirsk, Russia) Е-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
V. V. Tretyak (Novosibirsk State Technical University (NSTU), Novosibirsk, Russia) Е-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

1. Evaluation of measurement data. The role of measurement uncertainty in conformity assessment. (2012). Guidance document No. JCGM 106:2012.
2. Rubichev N. A., Frumkin V. D. (1990). Reliability of tolerance quality control. Moscow: Izdatel'stvo standartov. [in Russian language]
3. Korovina O. A. (2018). Risk assessment of the manufacturer and the customer when monitoring the errors of measuring devices at one or more points. Izmeritel'naya tekhnika, (5), pp. 14 – 17. [in Russian language]
4. Shcheglov D. M. (2019). Application of a riskoriented approach to assessing the influence of the measurement error of object parameters on the effectiveness of its tests. Vestnik metrologa, (2), pp. 15 – 19. [in Russian language]
5. Hayrullin R. Z., Kornev A. S., Kostoglotov A. A. et al. (2020). Mathematical modeling of functions of decision-making errors during tolerance control of the performance of measuring equipment. Metrologiya, (3), pp. 3 – 15. [in Russian language]
6. Danilevich S. B., Tret'yak V. V. (2018). Metrological supervision of control results validity. Kontrol'. Diagnostika, (7), pp. 56 – 60. [in Russian language] DOI: 10.14489/td.2018.07.pp.056-060
7. Savel’kaev S. V., Danilevich S. B. (2020). Methods and Tools for Simulation and Quality Control of Design and Production of Microwave Devices. Cambridge: Cambridge Scholars Publishing.
8. Danilevich S. B., Kolesnikov S. S., Pal'chun Yu. A. (2011). Application of simulation modeling for certification of control and test procedures. Izmeritel'naya tekhnika, (7), pp. 70 – 73. [in Russian language]
9. Danilevich S. B., Tret'yak V. V. (2020). Influence of measurement error distribution the accuracy rates of the control. Kontrol'. Diagnostika, (7), pp. 48 – 52. [in Russian language] DOI: 10.14489/td.2020.07.pp.048-052
10. Danilevich S. B., Tret'yak V. V. (2019). Metrological support of admission measuring control. Kontrol'. Diagnostika, (4), pp. 46 – 49. [in Russian language] DOI: 10.14489/td.2019.04.pp.046-049
11. Danilevich S. B. (2012). Assessment of the reliability of inspection results for limited batches of products. Izmeritel'naya tekhnika, (11), pp. 18 – 21. [in Russian language]
12. Risk management. Risk assessment technologies. (2020). Ru Standard No. GOST R 58771–2019. Moscow: Standartinform. [in Russian language]

This article  is available in electronic format (PDF).

The cost of a single article is 450 rubles. (including VAT 18%). After you place an order within a few days, you will receive following documents to your specified e-mail: account on payment and receipt to pay in the bank.

After depositing your payment on our bank account we send you file of the article by e-mail.

To order articles please copy the article doi:

10.14489/td.2021.03.pp.060-064

and fill out the  form  

 

 

 
Rambler's Top100 Яндекс цитирования