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Hybrid Exponentially Weighted Moving Average Control Chart with Measurement Error

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Iranian Journal of Science and Technology, Transactions A: Science Aims and scope Submit manuscript

Abstract

A control chart is a significant statistical technique that is used to monitor the production process. When measurement error is present in the data, it affects the performance of the control chart. In this study, we described the impact of measurement error on the HEWMA control chart by using (1) covariates, (2) multiple measurements and (3) linear increasing variance method. We compare the performance of the HEWMA control chart and the EWMA control chart on the basis of average run lengths when the data are contaminated with the measurement error. The results revealed that the HEWMA control chart deals with the measurement error more efficiently than the EWMA control chart. Two real-life examples are also given to show the application of the HEWMA control chart in the presence of measurement error.

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Authors and Affiliations

  1. COMSATS University Islamabad-Lahore Campus, Lahore, Pakistan

    Faiza Asif, Shahana Khan & Muhammad Noor-ul-Amin

Authors
  1. Faiza Asif
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  2. Shahana Khan
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  3. Muhammad Noor-ul-Amin
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Correspondence to Muhammad Noor-ul-Amin.

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Asif, F., Khan, S. & Noor-ul-Amin, M. Hybrid Exponentially Weighted Moving Average Control Chart with Measurement Error. Iran J Sci Technol Trans Sci 44, 801–811 (2020). https://doi.org/10.1007/s40995-020-00879-3

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  • DOI: https://doi.org/10.1007/s40995-020-00879-3

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