Open this publication in new window or tab >>2023 (English)In: Computers & industrial engineering, ISSN 0360-8352, E-ISSN 1879-0550, Vol. 175, article id 108900Article in journal (Refereed) Published
Abstract [en]
The accuracy of the measurement system is vital for reliable process monitoring using statistical process control charts. The applied chart’s effectiveness depends on the measurement system's performance. Measurement uncertainty can lead to incorrect decisions like unnecessary stops or failure to intervene. In this paper, we investigated the effect of measurement errors on the performance of four well-established combined charts for monitoring the mean of normally distributed processes: Shewhart-CUSUM, Shewhart-Crosier’s CUSUM, Shewhart-EWMA and Shewhart-GWMA charts. To deal with measurement errors we considered the additive measurement error model. Detailed run length profiles of these charts are studied in terms of average run length (ARL), extra quadratic loss, relative ARL, and performance comparison index through Monte Carlo simulations under different sizes of measurement errors. It was found that measurement errors significantly reduce the power of the combined charts. Thus, multiple measurements scheme is incorporated as a remedy to this effect. The Shewhart-Crosier’s CUSUM performed best of four charts, while the Shewhart-EWMA chart did worst. To demonstrate the effect of measurement uncertainty and highlight implications further, a simulated dataset with a shift in the process mean is considered.
Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Measurement Uncertainty, Statistical Process Control, Combined Control Chart, Multiple Measurements, Reliability Monitoring, Monte Carlo Simulation
National Category
Reliability and Maintenance
Research subject
Quality technology and logistics
Identifiers
urn:nbn:se:ltu:diva-94965 (URN)10.1016/j.cie.2022.108900 (DOI)000911590700001 ()2-s2.0-85144313751 (Scopus ID)
Note
Validerad;2023;Nivå 2;2023-01-01 (joosat);
Licens full text: CC BY License;
Funder: Foundation of Nanjing University of Posts and Telecommunications (NY222176); The Excellent Innovation Teams of Philosophy and Social Science in Jiangsu Province (2017ZSTD022); Key Research Base of Philosophy and Social Sciences in Jiangsu
2022-12-212022-12-212023-04-21Bibliographically approved