Effect of non-fulfillment of assumptions on gage repeatability and reproducibility study evaluation

• Autorzy: Klaput Pavel , Vykydal David , Plura Jiří

Identyfikatory

DOI

10.2478/cqpi-2019-0064

• Języki publikacji: EN

Abstrakty

EN

The evaluation of the measurement system quality has already become an integral part of quality planning activities in both the automotive and metallurgical industries. An important assumption for obtaining the most relia ble results is compliance with the basic assumptions for evaluating the variability of the measurement system. The main goal of this paper is to analyze, how the failure to meet the basic assumptions influences the evaluation of the measurement system's statistical properties. This goal is achieved by performing a detailed analysis of the latest developments in the field of measurement systems analysis aimed at verifying the assumptions of normality and uniformity. The evaluation of the effect of non-fulfillment of both assumptions on the values of the most important statistical properties of the measurement system is performed using simulated data. Suitable graphical tools are used for practical verification of both assumptions.

Słowa kluczowe

EN

normality; uniformity; repeatability; reproducibility

PL

normalność; jednorodność; powtarzalność; odtwarzalność

• Wydawca: De Gruyter
• Czasopismo: Quality Production Improvement - QPI
• Rocznik: 2019
• Tom: Vol. 1, Iss. 1
• Strony: 472--478
• Opis fizyczny: Bibliogr. 8 poz., rys., tab.

Twórcy

autor

Klaput Pavel

• VSB-TU Ostrava, Department of quality management, 17. listopadu 2172/15 Czech Republic

autor

Vykydal David

• VSB-TU Ostrava, Department of quality management, 17. listopadu 2172/15 Czech Republic

autor

Plura Jiří

• VSB-TU Ostrava, Department of quality management, 17. listopadu 2172/15 Czech Republic

Bibliografia

• 1.Chrysler Group LLC, Ford Company, General Motors corporation. Measurement Systems Analysis, Reference Manual. 4th ed., 2010.
• 2.Janošcová, R., 2012. Evaluation of software quality. IMEA 2012, Hradec Králové, 24-30.
• 3.Mikulová, P., Plura, J., 2018. Comparison of approaches to gauge repeatability and reproducibility analysis, MATEC Web of Conferences. Volume 183, EDP Sciences.
• 4.Noskievičová, D., 2018. APSS - Software Support for Decision Making in Statistical Process Control, Quality Innovation Prosperity, 22, 19-26.
• 5.Pačaiová, H., Sinay, J., Turisová, R., Hajduová, Z., Markulík, Š., 2017. Measuring the qualitative factors on copper wire surface, Measurement, 109, 359-365.
• 6.Petrík, J., 2016. On the Load Dependence of Micro-Hardness Measurements: Analysis of Data by Different Models and Evaluation of Measurement Errors, Archives of Metallurgy and Materials, 61, 1819-1824.
• 7.Tošenovský, F., 2018. In Search of an Appropriate Market Product Based on the Weighted-Average Multi-Criteria Decision Making Model, Economic Computation and Economic Cybernetics Studies and Research, 52, 265-278.
• 8.Sinay, J., Balážiková, M., Dulebová, M., Markulik, Š., Kotianová, Z., 2018. Measurement of low-frequency noise during CNC machining and its assessment, Measurement, 119. 10.1016/j.measurement.2018.02.004.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).