Metrological aspects of quality control systems in batch production

Authors: Chernova E.S.
Published in issue: #9(14)/2017
DOI: 10.18698/2541-8009-2017-9-174
Category: Instrument Engineering, Metrology, Information-Measuring Instruments and Systems | Chapter: Instruments and Measuring Methods
Keywords: conceptual models of error and uncertainty, decision rule, fuzzy problems, type I and type II errors, batch production, conformity assessment, product quality control decision
Published: 14.09.2017

The article deals with a comparative analysis of metrological aspects of quality control in batch production in the framework of existing conceptual models of uncertainty and error. We detect a transformation in the estimation of reliability and quality of control following the introduction of the concept of uncertainty. We present specifics of conceptual models of uncertainty and error that differ not only in their axiomatic system but also in their normative metrological principles. We show how to solve a fuzzy problem of quality control in batch production in the context of error (uncertainty). We provide a decision rule for estimating conformity of the product undergoing inspection in both cases. We supply a quality evaluation of the pass/fail decision taken during product quality control. The article may be useful for specialists in the field of product quality control.

References

[1] Ordinartseva N.P. Error measurements of uncertainty or uncertainty of error measurement. Zakonodatel’naya i prikladnaya metrologiya, 2012, no. 6, pp. 41–44.

[2] Ordinartseva N.P. Mathematical model of measurement task. Izvestiya YuFU. Tekhnicheskie nauki [Izvestiya SFedU. Engineering Sciences], 2012, no. 5(130), pp. 90–94.

[3] Ehrlich C., Dybkaer R., Wőger W. Evolution of philosophy and of the “measurement” conception representation. Glavnyy metrolog, 2016, no. 1, pp. 8–30.

[4] Slaev V.A., Chunovkinoy A.G., ed. Vvedenie k «Rukovodstvu po vyrazheniyu neopredelennosti izmereniya» i soputstvuyushchim dokumentam. Otsenivanie dannykh izmereniy [Introduction to “Guidelines for measurement uncertainty expression” and related documents. Assessment of measurement data]. Sankt-Petersburg, Professional publ., 2011, 43 p.

[5] Ordinartseva N.P. Fuzzy regression tasks in uncertainty conditions. Radiopromyshlennost’ [Radio industry], 2013, no. 2, pp. 88–95.

[6] Ordinartseva N.P. Metrological aspects of quality control in engineering calculations. Izmeritel’naya tekhnika, 1993, no. 5, pp. 6–7. (Eng. version: Measurement Techniques, 1993, no. 5, pp. 488–491.)

[7] Ordinartseva N.P., Furman O.V. Formation of measurement result in condition of uncertainty. Izvestiya vysshikh uchebnykh zavedeniy. Povolzhskiy region [University proceedings. Volga region. Technical sciences], 2012, no. 3(23), pp. 55–61.