Monitoring coefficient of variation using one-sided run rules control charts in the presence of measurement errors

References

• R. Breunig, An almost unbiased estimator of the coefficient of variation, Econ. Lett. 70 (2001), pp. 15–19. doi: 10.1016/S0165-1765(00)00351-7
   Web of Science ®Google Scholar
• P. Castagliola, A. Achoure, H. Taleb, G. Celano, and S. Psarakis, Monitoring the coefficient of variation using control charts with run rules, Qual. Technol. Quant. Manag. 10 (2013), pp. 75–94. doi: 10.1080/16843703.2013.11673309
   Web of Science ®Google Scholar
• P. Castagliola, A. Achouri, H. Taleb, G. Celano, and S. Psarakis, Monitoring the coefficient of variation using a variable sampling interval control chart, Qual. Reliab. Eng. Int. 29 (2013), pp. 1135–1149. doi: 10.1002/qre.1465
   Web of Science ®Google Scholar
• P. Castagliola, A. Achouri, H. Taleb, G. Celano, and S. Psarakis, Monitoring the coefficient of variation using a variable sample size control chart, Int. J. Adv. Manuf. Technol. 80 (2015), pp. 1561–1576. doi: 10.1007/s00170-015-6985-6
   Web of Science ®Google Scholar
• P. Castagliola, G. Celano, and S. Psarakis, Monitoring the coefficient of variation using EWMA charts, J. Qual. Technol. 43 (2011), pp. 249–265. doi: 10.1080/00224065.2011.11917861
   Web of Science ®Google Scholar
• Manual, Measurement System Analysis, 4th ed., Automotive Industry Action Group, Southfield, 2010.
   Google Scholar
• F. Kadri, F. Harrou, S. Chaabane, Y. Sun, and C. Tahon, Seasonal ARMA-based SPC charts for anomaly detection: application to emergency department systems, Neurocomputing 173 (2016), pp. 2102–2114. doi: 10.1016/j.neucom.2015.10.009
   Web of Science ®Google Scholar
• K.W. Khaw, M.B.C. Khoo, W.C. Yeong, and Z. Wu, Monitoring the coefficient of variation using a variable sample size and sampling interval control chart, Comm. Statist. Simulation Comput. 46 (2017), pp. 5722–5794. doi: 10.1080/03610918.2016.1177074
   Web of Science ®Google Scholar
• K.W. Linna and W.H. Woodall, Effect of measurement error on Shewhart control charts, J. Qual. Technol. 33 (2001), pp. 213–222. doi: 10.1080/00224065.2001.11980068
   Web of Science ®Google Scholar
• A.N.B. Muhammada, W. Yeong, Z. Chonga, S. Limc, and M.B.C. Khood, Monitoring the coefcient of variation using a variable sample size EWMA chart, Comput. Ind. Eng. 126 (2018), pp. 378–398. doi: 10.1016/j.cie.2018.09.045
   Web of Science ®Google Scholar
• H.D. Nguyen, Q.T. Nguyen, K.P. Tran, and D.P. Ho, On the performance of VSI shewhart control chart for monitoring the coefficient of variation in the presence of measurement errors, Int. J. Adv. Manuf. Technol. 104 (2019), pp. 211–243. doi: 10.1007/s00170-019-03352-7
   Web of Science ®Google Scholar
• M. Noor-ul Amin and A. Riaz, EWMA control chart for coefficient of variation using log-normal transformation under ranked set sampling, Iranian J. Sci. Technol, Trans. A: Sci. 44 (2020), pp. 155–165. doi: 10.1007/s40995-019-00805-2
   Web of Science ®Google Scholar
• M. Noor-ul Amin, S. Tariq, and M. Hanif, Control charts for simultaneously monitoring of process mean and coefficient of variation with and without auxiliary information, Qual. Reliab. Eng. Int. 35 (2019), pp. 2639–2656. doi: 10.1002/qre.2546
   Web of Science ®Google Scholar
• S.C. Shongwe, J. Malela-Majika, and P. Castagliola, A combined mixed-s-skip sampling strategy to reduce the effect of autocorrelation on the X-bar scheme with and without measurement errors, J. Appl. Stat. 5 (2020) pp. 1–25. doi: 10.1080/02664763.2020.1759033
   Web of Science ®Google Scholar
• K.P. Tran, Run rules median control charts for monitoring process mean in manufacturing, Qual. Reliab. Eng. Int. 33 (2017), pp. 2437–2450. doi: 10.1002/qre.2201
   Web of Science ®Google Scholar
• K.P. Tran, Designing of run rules t control charts for monitoring changes in the process mean, Chemom. Intell. Lab. Syst. 174 (2018), pp. 85–93. doi: 10.1016/j.chemolab.2018.01.009
   Web of Science ®Google Scholar
• K.P. Tran, P. Castagliola, and G. Celano, Monitoring the ratio of two normal variables using run rules type control charts, Int. J. Prod. Res. 54 (2016), pp. 1670–1688. doi: 10.1080/00207543.2015.1047982
   Web of Science ®Google Scholar
• K.P. Tran, H. Du Nguyen, H. Tran, and C. Heuchenne, On the performance of CUSUM control charts for monitoring the coefficient of variation with measurement errors, Int. J. Adv. Manuf. Technol. 104 (2019), pp. 1903–1917. doi: 10.1007/s00170-019-03987-6
   Web of Science ®Google Scholar
• K.P. Tran, C. Heuchenne, N. Balakrishnan, and M.B.C. Khoo, On the performance of coefficient of variation charts in the presence of measurement errors, Qual. Reliab. Eng. Int. (2018).
   Web of Science ®Google Scholar
• P.H. Tran and K.P. Tran, The efficiency of CUSUM schemes for monitoring the coefficient of variation, Appl. Stoch. Models. Bus. Ind. 32 (2016), pp. 870–881. doi: 10.1002/asmb.2213
   Web of Science ®Google Scholar
• P.H. Tran, K.P. Tran, T.H. Truong, C. Heuchenne, P.H. Tran, and T.M.H. Le, Real Time Data-Driven Approaches for Credit Card Fraud Detection, Proceedings of the 2018 International Conference on E-Business and Applications, 2018, pp. 6–9.
   Google Scholar
• J. Ye, P. Feng, C. Xu, Y. Ma, and S. Huang, A novel approach for chatter online monitoring using coefficient of variation in machining process, Int. J. Adv. Manuf. Technol. 96 (2018), pp. 287–297. doi: 10.1007/s00170-017-1544-y
   Web of Science ®Google Scholar
• W.C. Yeong, M.B.C. Khoo, S.L. Lim, and M.H. Lee, A direct procedure for monitoring the coefficient of variation using a variable sample size scheme, Comm. Statist. Simulation Comput. 46 (2017), pp. 4210–4225. doi: 10.1080/03610918.2015.1109659
   Web of Science ®Google Scholar
• W.C. Yeong, M.B.C. Khoo, S.L. Lim, and W.L. Teoh, The coefficient of variation chart with measurement error, Qual. Technol. Quant. Manag. 14 (2017), pp. 353–377. doi: 10.1080/16843703.2017.1304043
   Web of Science ®Google Scholar
• F.S. Zaidi, P. Castagliola, K.P. Tran, and M.B.C. Khoo, Performance of the hotelling T2 control chart for compositional data in the presence of measurement errors, J. Appl. Stat. 46 (2019), pp. 2583–2602. doi: 10.1080/02664763.2019.1605339
   Web of Science ®Google Scholar
• J. Zhang, Z. Li, B. Chen, and Z. Wang, A new exponentially weighted moving average control chart for monitoring the coefficient of variation, Comput. Ind. Eng. 78 (2014), pp. 205–212. doi: 10.1016/j.cie.2014.09.027
   Web of Science ®Google Scholar
• D. Zheng, F. Li, and T. Zhao, Self-adaptive statistical process control for anomaly detection in time series, Expert. Syst. Appl. 57 (2016), pp. 324–336. doi: 10.1016/j.eswa.2016.03.029
   Web of Science ®Google Scholar