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An EWMA Chart with Varying Sample Interval to Monitor Calibration Processes

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Techniques, Tools and Methodologies Applied to Quality Assurance in Manufacturing

Abstract

A measurement assurance program considers the periodic calibration of measuring instruments to verify that their accuracy and precision are kept stable and controlled over time. To monitor the calibration process of a measuring instrument, we may use statistical process control charts, which are very useful tools in the industry. We propose an exponentially weighted moving average (EWMA) control chart with a varying sample interval based on Croarkin and Varner’s statistical control chart, which was adopted by NIST. The original Croarkin and Varner chart has lower performance than some charts proposed in recent years; nevertheless, the performance of the modified chart that we propose is comparable to that of better charts, given its detection ability in the face of changes to the calibration process. We evaluate and compare the performance of different charts in phase II through Monte Carlo simulations.

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Acknowledgements

This research was partially supported by the Universidad Autónoma de Sinaloa through the project “Cartas de Control en Muestras Pequeñas” (PROFAPI2015/252).

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Correspondence to María Guadalupe Russell-Noriega .

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Russell-Noriega, M.G., Villa-Diharce, E. (2021). An EWMA Chart with Varying Sample Interval to Monitor Calibration Processes. In: García Alcaraz, J.L., Sánchez-Ramírez, C., Gil López, A.J. (eds) Techniques, Tools and Methodologies Applied to Quality Assurance in Manufacturing . Springer, Cham. https://doi.org/10.1007/978-3-030-69314-5_13

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  • DOI: https://doi.org/10.1007/978-3-030-69314-5_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69313-8

  • Online ISBN: 978-3-030-69314-5

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