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Effect of measurement uncertainty on combined quality control charts
Department of Anaesthesiology, The Aga Khan University Karachi, Pakistan.
School of Management, Nanjing University of Posts and Telecommunications, Nanjing, China.
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering. Industrial Engineering and Management, University of Oulu, Finland.ORCID iD: 0000-0001-6356-1364
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-3911-8009
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. Vol. 175, article id 108900
Keywords [en]
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: urn:nbn:se:ltu:diva-94965DOI: 10.1016/j.cie.2022.108900ISI: 000911590700001Scopus ID: 2-s2.0-85144313751OAI: oai:DiVA.org:ltu-94965DiVA, id: diva2:1721444
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

 

Available from: 2022-12-21 Created: 2022-12-21 Last updated: 2023-04-21Bibliographically approved

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Kauppila, OsmoBergquist, Bjarne

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