References
- Montgomery DC. Intorduction to ststistical quality control. Hoboken, NJ: 7th ed. Wiley; 2009.
- Gan FF. Designs of one- and two-sided exponential EWMA charts. J Quality Technol. 1998;30(1):55–69.
- Zhang CW, Xie M, Liu JY, et al. A control chart for the Gamma distribution as a model of time between events. Int J Production Res. 2007;45(23):5649–5666.
- Xie M, Goh TN, Kuralmani V. Statistical models and control charts for high-Quality processes. Boston, MA: Springer; 2002a.
- Xie YJ, Tsui KL, Xie M, et al. Monitoring time-between-events for health management. 2010 Prognostics and System Health Management Conference; IEEE; Jan 2010. doi: 10.1109/phm.2010.5413412.
- Santiago E, Smith J. Control charts based on the exponential distribution: adapting runs rules for the t chart. Qual Eng. 2013;25(2):85–96.
- Rahali D, Castagliola P, Taleb H, et al. Evaluation of Shewhart time-between-events-and-amplitude control charts for several distributions. Qual Eng. 2019;31(2):240–254.
- Rakitzis AC. Monitoring exponential data using two-sided control charts with runs rules. J Stat Comput Simul. 2016a;86(1):149–159.
- Kumar N, Chakraborti S. Phase II Shewhart-type control charts for monitoring times between events and effects of parameter estimation. Quality Reliab Eng Int. 2016;32:315–328.
- Kumar N. Conditional analysis of Phase II exponential chart for monitoring times to an event. Quality Technology
Quantitative Management. 2019. doi: 10.1080/16843703.2019.1613772.
- Xie M, Goh TN, Ranjan P. Some effective control chart procedures for reliability monitoring. Reliab Eng
Syst Safety. 2002b;77(2):143–150.
- Ali S. Time-betwee-events control charts for an exponentiated class of distributions of the renewal process. Quality Reliab Eng Int. 2017;33(8):2625–2651.
- Zhang CW, Xie M, Goh TN. Design of exponential control charts using a sequential sampling scheme. IISE Trans. 2006;38:1105–1116.
- Yang J, Yu H, Cheng Y, et al. Design of gamma charts based on average time to signal. Quality Reliab Eng Int. 2016;32:1041–1058.
- Ali S, Pievatolo A. High quality process monitoring using a class of inter-arrival time distributions of the renewal process. Computers
Indust Eng. 2016;94:45–62.
- Ali S, Shah I. Monitoring regularly maintained systems based on the renewal process with generalized exponential distribution of time between events. J Test Eval. 2020;48(5):3673–3694.
- Ali S, Shah I, Wang LC, et al. A comparison of shewhart-type time-between-events control charts based on the renewal process. IEEE Access. 2020;8:113683–113701.
- Khan N, Aslam M, Jun CH. A EWMA control chart for exponential distributed quality based on moving average statistics. Quality and Reliab Eng Int. 2016;32:1179–1190.
- Liu JY, Xie M, Goh TN: CUSUM chart with transformed exponential data. Commun Stat – Theor Meth. 2006.35:1829–1843,
- Qu L, Khoo MBC, Castagliola P, et al. Exponential cumulative sums chart for detecting shifts in time-between-events. Int J Production Res. 2018;56(10):3683–3698.
- Ali S, Pievatolo A, Göb R. An overview of control charts for high-quality processes. Quality Reliab Eng Int. 2016;32(7):2171–2189.
- Capizzi G, Masarotto G. An adaptive exponentially weighted moving average control chart. Technometrics. 2003;45(3):199–207.
- Shu L. An adaptive exponentially weighted moving average control chart for monitoring process variances. J Stat Comput Simul. 2008;78(4):367–384.
- Ugaz W, Sánchez I, Alonso AM. Adaptive EWMA control charts with time-varying smoothing parameter. Int J Adv Manufact Technol. 2017;93(9-12):3847–3858.
- Tang A, Castagliola P, Sun J, et al. The effect of measurement errors on the adaptive EWMA chart. Quality Reliab Eng Int. 2018;34(4):609–630.
- Tang A, Castagliola P, Hu X, et al. The performance of the adaptive EWMA median chart in the presence of measurement error. Quality Reliab Eng Int. 2019a;35(1):423–438.
- Saleh NA, Mahmoud MA, Abdel-Salam A-SG. The performance of the adaptive exponentially weighted moving average control chart with estimated parameters. Quality Reliab Eng Int. 2013;29(4):595–606.
- Aly AA, Saleh NA, Mahmoud MA, et al. A reevaluation of the adaptive exponentially weighted moving average control chart when parameters are estimated. Quality Reliab Eng Int. 2015;31(8):1611–1622.
- Tang A, Sun J, Hu X, et al. A new nonparametric adaptive EWMA control chart with exact run length properties. Computers
Indust Eng. 2019b;130:404–419.
- Aly AA, Saleh NA, Mahmoud MA. An adaptive EWMA control chart for monitoring zero-inflated poisson processes. Commun Stat - Simul Comput. 2019;1–14. doi: 10.1080/03610918.2019.1676437.
- Tang A, Castagliola P, Sun J, et al. Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length. Quality Technol
Quantitative Manag. 2019c;16(4):439–458.
- Tang A, Castagliola P, Hu X, et al. The adaptive EWMA median chart for known and estimated parameters. J Stat Comput Simul. 2019d;89(5):844–863.
- Acosta-Mejia CA, Pignatiello Jr JJ. ARL-design of S charts with k-of-k runs rules. Commun Stat-Simul Comput. 2009;38(8):1625–1639.
- Cabral Morais M, Knoth S, Weiß CH. An ARL-unbiased thinning-based EWMA chart to monitor counts. Seq Anal. 2018;37(4):487–510.
- Castagliola P, Celano G, Psarakis S. Monitoring the coefficient of variation using EWMA charts. J Quality Technol. 2011;43(3):249–265.
- Zhang J, Li Z, Chen B, et al. A new exponentially weighted moving average control chart for monitoring the coefficient of variation. Computers
Indust Eng. 2014;78:205–212.
- Phuc Tran K, Knoth S. Steady-state ARL analysis of ARL-unbiased EWMA-RZ control chart monitoring the ratio of two normal variables. Quality Reliab Eng Int. 2018;34(3):377–390.
- Lucas J, Saccucci M. Exponentially weighted moving average control schemes: properties and enhancements. J Quality Technol. 1990;32(1):1–12.
- Neuts M. Matrix-Geometric solutions in stochastic models: an algorithmic approach. New York: Dover Publications Inc; 1981.
- Latouche G, Ramaswami V. Introduction to matrix analytic methods in stochastic modelling. Philadelphia: ASA-SIAM; 1999.
- Su Y, Shu L, Tsui K-L. Adaptive EWMA procedures for monitoring processes subject to linear drifts. Comput Stat Data Anal. 2011;55:2819–2829.
- Cheng C-S, Chen P-W. An ARL-unbiased design of time-between-events control charts with runs rules. J Stat Comput Simul. 2011;81(7):857–871. doi: 10.1080/00949650903520944
- Santiago E, Smith J. Control charts based on the exponential distribution: adapting runs rules for the t chart. Qual Eng. 2013b;25(2):85–96. doi: 10.1080/08982112.2012.740646
- Rakitzis AC. Monitoring exponential data using two-sided control charts with runs rules. J Stat Comput Simul. 2016b;86(1):149–159. doi: 10.1080/00949655.2014.998219
- Kumar N, Chakraborti S, Rakitzis AC. Improved Shewhart-type charts for monitoring times between events. J Quality Technol. 2017;49(3):278–296. doi: 10.1080/00224065.2017.11917995
- Amdouni A, Castagliola P, Taleb H, et al. One-sided run rules control charts for monitoring the coefficient of variation in short production runs. Eur J Indust Eng. 2016;10(5):639–662.
- Castagliola P, Achouri A, Taleb H, et al. Monitoring the coefficient of variation using control charts with run rules. Quality Technol
Quantitative Manag. 2013;10(1):75–94.
- Phuc Tran K. Designing of run rules t control charts for monitoring changes in the process mean. Chemometr Intell Lab Syst. 2018;174:85–93.
- Alevizakos V, Koukouvinos C. A double exponentially weighted moving average chart for time between events. Commun in Stat–Simul Comput. 2019. doi: 10.1080/03610918.2018.1532516