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Alternative methods for the simultaneous monitoring of simple linear profile parameters

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Abstract

In many industrial processes, the quality characteristic of interest has a relation (linear or non-linear) with other supporting variable(s). Simple linear profile is a well-known term used for the quality characteristic, which is linearly associated with another descriptive variable, and the monitoring of simple linear profile parameters (i.e., slope, intercept, and error variance) is known as linear profiling. In the literature, a well-known approach named as EWMA_3 chart is used for the simultaneous monitoring of intercept, slope, and error variance. This approach is very efficient as compared to EWMA/R, Hotelling T2, and Shewhart_3 charts but it is a tedious method, since distinct pair of control limits require individual charting constant for each parameter. In this study, new methods are designed for the simultaneous monitoring of simple linear profile parameters, which requires single charting constant and have several advantages such as simplicity, efficiency, and ease of applicability. The findings of this study reveal that newly designed control charts such as the Max − EWMA − 3 and SS − EWMA − 3 have almost similar performance with EWMA_3 chart. Specifically, Max − EWMA − 3 − C chart shows superiority among all other control charts. Further, importance of the stated proposals is highlighted by the real example from the field of chemical engineering.

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Acknowledgements

The authors are thankful to the anonymous referees for their constructive comments that helped to improve the initial version of the manuscript. The authors would also like to acknowledge the support provided by the Deanship of Scientific Research (DSR) at King Fahd University of Petroleum & Minerals (KFUPM) for funding this work through project No. IN171016. Moreover, the authors Tahir Mahmood and Min Xie would like to acknowledge City University of Hong Kong for providing excellent research facilities.

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Authors and Affiliations

  1. Department of System Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong

    Tahir Mahmood & Min Xie

  2. Department of Mathematics and Statistics, King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia

    Tahir Mahmood, Muhammad Riaz & M. Hafidz Omar

Authors
  1. Tahir Mahmood
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  2. Muhammad Riaz
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  3. M. Hafidz Omar
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  4. Min Xie
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Correspondence to Tahir Mahmood.

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Mahmood, T., Riaz, M., Hafidz Omar, M. et al. Alternative methods for the simultaneous monitoring of simple linear profile parameters. Int J Adv Manuf Technol 97, 2851–2871 (2018). https://doi.org/10.1007/s00170-018-2149-9

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  • DOI: https://doi.org/10.1007/s00170-018-2149-9

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