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Research Article

Change-point design-based charting schemes for monitoring process variability

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Received 30 Mar 2023, Accepted 26 Jan 2024, Published online: 01 Feb 2024

References

  • Alevizakos, V., Chatterjee, K., & Koukouvinos, C. (2021). Nonparametric triple exponentially weighted moving average signed-rank control chart for monitoring shifts in the process location. Quality and Reliability Engineering International, 37(6), 2622–2645. https://doi.org/10.1002/qre.2879
  • Anderson, T. W. (1962). On the distribution of the two-sample Cramer-von Mises criterion. Annals of Mathematical Statistics, 33(3), 1148–1159. https://doi.org/10.1214/aoms/1177704477
  • Ansari, A. R., & Bradley, R. A. (1960). Rank-sum tests for dispersions. Annals of Mathematical Statistics, 31(4), 1174–1189. https://doi.org/10.1214/aoms/1177705688
  • Caron, F., Doucet, A., & Gottardo, R. (2012). On-line changepoint detection and parameter estimation with application to genomic data. Statistics and Computing, 22(2), 579–595. https://doi.org/10.1007/s11222-011-9248-x
  • Chowdhury, S., Mukherjee, A., & Chakraborti, S. (2014). A new distribution-free control chart for joint monitoring of unknown location and scale parameters of continuous distributions. Quality and Reliability Engineering International, 30(2), 191–204. https://doi.org/10.1002/qre.1488
  • Chowdhury, S., Mukherjee, A., & Chakraborti, S. (2015). Distribution-free phase II CUSUM control chart for joint monitoring of location and scale. Quality and Reliability Engineering International, 31(1), 135–151. https://doi.org/10.1002/qre.1677
  • Das, N. (2008). Non-parametric control chart for controlling variability based on rank test. Economic Quality Control, 23(1), 227–242. https://doi.org/10.1515/EQC.2008.227
  • Graham, M. A., Mukherjee, A., & Chakraborti, S. (2012). Distribution-free exponentially weighted moving average control charts for monitoring unknown location. Computational Statistics and Data Analysis, 56(8), 2539–2561. https://doi.org/10.1016/j.csda.2012.02.010
  • Hawkins, D. M., & Deng, Q. (2010). A nonparametric change-point control chart. Journal of Quality Technology, 42(2), 165–173. https://doi.org/10.1080/00224065.2010.11917814
  • Hawkins, D. M., Qiu, P., & Kang, C. W. (2003). The changepoint model for statistical process control. Journal of Quality Technology, 35(4), 355–366. https://doi.org/10.1080/00224065.2003.11980233
  • Li, J. (2021). Nonparametric adaptive CUSUM chart for detecting arbitrary distributional changes. Journal of Quality Technology, 53(2), 154–172. https://doi.org/10.1080/00224065.2019.1694398
  • Li, Q., & Zhang, J. (2021). Distribution-free control charts for detecting process scale. Chinese Journal Application Probability Statistics, 37(3), 241–258.
  • Li, Z., Xie, M., & Zhou, M. (2018). Rank-based EWMA procedure for sequentially detecting changes of process location and variability. Quality Technology and Quantitative Management, 15(3), 354–373. https://doi.org/10.1080/16843703.2016.1208941
  • Liang, W., Pu, X., & Xiang, D. (2017). A distribution-free multivariate CUSUM control chart using dynamic control limits. Journal of Applied Statistics, 44(11), 2075–2093. https://doi.org/10.1080/02664763.2016.1247784
  • Liang, W., Xiang, D., & Pu, X. (2016). A robust multivariate EWMA control chart for detecting sparse mean shifts. Journal of Quality Technology, 48(3), 265–283. https://doi.org/10.1080/00224065.2016.11918166
  • Liu, L., Peng, Q., Lai, X., & Deng, Z. (2021). An adaptive nonparametric exponentially weighted moving average control chart with dynamic sampling intervals. Statistical Analysis and Data Mining: The ASA Data Science Journal, 14(1), 74–87. https://doi.org/10.1002/sam.11490
  • Liu, L., Tsung, F., & Zhang, J. (2014). Adaptive nonparametric CUSUM scheme for detecting unknown shifts in location. International Journal of Production Research, 52(6), 1592–1606. https://doi.org/10.1080/00207543.2013.812260
  • Montgomery, D. C. (2008). Introduction to statistical quality control. John wiley & sons.
  • Mukherjee, A., & Chakraborti, S. (2012). A distribution-free control chart for the joint monitoring of location and scale. Quality and Reliability Engineering International, 28(3), 335–352. https://doi.org/10.1002/qre.1249
  • Psarakis, S. (2015). Adaptive control charts: recent developments and extensions. Quality and Reliability Engineering International, 31(7), 1265–1280. https://doi.org/10.1002/qre.1850
  • Qiu, P. (2018). Some perspectives on nonparametric statistical process control. Journal of Quality Technology, 50(1), 49–65. https://doi.org/10.1080/00224065.2018.1404315
  • Qiu, P. (2019). Some recent studies in statistical process control. In Statistical quality technologies (pp. 3–19). Springer.
  • Qiu, P., & Xiang, D. (2014). Univariate dynamic screening system: An approach for identifying individuals with irregular longitudinal behavior. Technometrics, 56(2), 248–260. https://doi.org/10.1080/00401706.2013.822423
  • Raza, M. A., Nawaz, T., Aslam, M., Bhatti, S. H., & Sherwani, R. A. K. (2020). A new nonparametric double exponentially weighted moving average control chart. Quality and Reliability Engineering International, 36(1), 68–87. https://doi.org/10.1002/qre.2560
  • Ross, G. J. (2014). Sequential change detection in the presence of unknown parameters. Statistics and Computing, 24(6), 1017–1030. https://doi.org/10.1007/s11222-013-9417-1
  • Ross, G. J., & Adams, N. M. (2012). Two nonparametric control charts for detecting arbitrary distribution changes. Journal of Quality Technology, 44(2), 102–116. https://doi.org/10.1080/00224065.2012.11917887
  • Shu, L., Jiang, W., & Tsui, K. L. (2008). A weighted CUSUM chart for detecting patterned mean shifts. Journal of Quality Technology, 40(2), 194–213. https://doi.org/10.1080/00224065.2008.11917725
  • Song, Z., Mukherjee, A., Marozzi, M., & Zhang, J. (2020). A class of distribution-free exponentially weighted moving average schemes for joint monitoring of location and scale parameters. In Distribution-Free Methods for Statistical Process Monitoring and Control (pp. 183–217). Springer,
  • Tartakovsky, A. G., Rozovskii, B. L., Blazek, R. B., & Kim, H. (2006). A novel approach to detection of intrusions in computer networks via adaptive sequential and batch-sequential change-point detection methods. IEEE Transactions on Signal Processing, 54(9), 3372–3382. https://doi.org/10.1109/TSP.2006.879308
  • Tran, K. P. (2017). Run rules median control charts for monitoring process mean in manufacturing. Quality and Reliability Engineering International, 33(8), 2437–2450. https://doi.org/10.1002/qre.2201
  • Wu, Z., Jiao, J., Yang, M., Liu, Y., & Wang, Z. (2009). An enhanced adaptive CUSUM control chart. IIE Transactions, 41(7), 642–653. https://doi.org/10.1080/07408170802712582
  • Xiang, D., Gao, S., Li, W., Pu, X., & Dou, W. (2019). A new nonparametric monitoring of data streams for changes in location and scale via Cucconi statistic. Journal of Nonparametric Statistics, 31(3), 743–760. https://doi.org/10.1080/10485252.2019.1632307
  • Yi, F., & Qiu, P. (2022). An adaptive CUSUM chart for drift detection. Quality and Reliability Engineering International, 38(2), 887–894. https://doi.org/10.1002/qre.3020
  • Zhou, C., Zou, C., Zhang, Y., & Wang, Z. (2009). Nonparametric control chart based on change-point model. Statistical Papers, 50(1), 13–28. https://doi.org/10.1007/s00362-007-0054-7
  • Zhou, M., Zhou, Q., & Geng, W. (2016). A new nonparametric control chart for monitoring variability. Quality and Reliability Engineering International, 32(7), 2471–2479. https://doi.org/10.1002/qre.1949

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