Ameliorating the diagnostic power of combined shewhart-memory-type control chart strategies for mean

References

• Crosier RB. A new two-sided cumulative sum quality control scheme. Technometrics. 1986;28:187–194. doi:10.1080/00401706.1986.10488126
   Web of Science ®Google Scholar
• Abbas N, Riaz M, Does RJ. Mixed exponentially weighted moving average-cumulative sum charts for process monitoring. Qual Reliab Eng Int. 2013;29:345–356. doi:10.1002/qre.1385
   Web of Science ®Google Scholar
• Lucas JM. Combined Shewhart-CUSUM quality control schemes. J Qual Technol. 1982;14:51–59. doi:10.1080/00224065.1982.11978790
   Web of Science ®Google Scholar
• Westgard J, Groth T, Td A, et al. Combined Shewhart-cusum control chart for improved quality control in clinical chemistry. Clin Chem. 1977;23:1881–1887. doi:10.1093/clinchem/23.10.1881
   PubMed Web of Science ®Google Scholar
• Lucas JM, Saccucci MS. Exponentially weighted moving average control schemes: properties and enhancements. Technometrics. 1990;32:1–12. doi:10.1080/00401706.1990.10484583
   Web of Science ®Google Scholar
• Capizzi G, Masarotto G. Combined Shewhart–EWMA control charts with estimated parameters. J Stat Comput Simul. 2010;80:793–807. doi:10.1080/00949650902773585
   Web of Science ®Google Scholar
• Wu Z, Yang M, Jiang W, et al. Optimization designs of the combined Shewhart-CUSUM control charts. Comput Stat Data Anal. 2008;53:496–506. doi:10.1016/j.csda.2008.08.032
   Web of Science ®Google Scholar
• Abujiya M, Riaz M, Lee MH. Improving the performance of combined Shewhart-Cumulative sum control charts. Qual Reliab Eng Int. 2013;29:1193–1206. doi:10.1002/qre.1470
   Web of Science ®Google Scholar
• Abujiya M, Riaz M, Lee MH. Enhancing the performance of combined Shewhart-EWMA charts. Qual Reliab Eng Int. 2013;29:1093–1106. doi:10.1002/qre.1461
   Web of Science ®Google Scholar
• Shamsuzzaman M, Khoo M, Haridy S, et al. An optimization design of the combined Shewhart-EWMA control chart.  Int J Adv Manuf Technol. 2016;86:1627–1637. doi:10.1007/s00170-015-8307-4
   Web of Science ®Google Scholar
• Abujiya M, Riaz M, Lee MH. A new combined Shewhart–cumulative sum S chart for monitoring process standard deviation. Qual Reliab Eng Int. 2016;32:1149–1165. doi:10.1002/qre.1822
   Web of Science ®Google Scholar
• Sanusi RA, Riaz M, Abbas N. Combined Shewhart CUSUM charts using auxiliary variable. Comput Ind Eng. 2017;105:329–337. doi:10.1016/j.cie.2017.01.018
   Web of Science ®Google Scholar
• Ottenstreuer S, Weiß CH, Knoth S. A combined Shewhart-CUSUM chart with switching limit. Qual Eng. 2019;31:255–268. doi:10.1080/08982112.2018.1479037
   Web of Science ®Google Scholar
• Tyagi D. Designing an effective combined Shewhart-CUSUM control scheme with exponentially distributed data. Int J Math, Eng Manage Sci. 2019;4:1277–1286. doi:10.33889/IJMEMS.2019.4.5-101
   Google Scholar
• Nawaz T, Han D. Neoteric ranked set sampling based combined Shewhart-CUSUM and Shewhart-EWMA control charts for monitoring the process location. Eur J Ind Eng. 2020;14:649–683. doi:10.1504/EJIE.2020.109913
   Web of Science ®Google Scholar
• Rehman AU, Shabbir J, Munir T, et al. On designing efficient control charts for SPC: some improvisations with an industrial application. Scientia Iranica. 2022. (Revision submitted).
   Google Scholar
• Mandel B. The regression control chart. J Qual Technol. 1969;1:1–9. doi:10.1080/00224065.1969.11980341
   Google Scholar
• Cochran WG. Sampling techniques. Hoboken (NJ): John; 1977.
   Google Scholar
• Riaz M. Monitoring process mean level using auxiliary information. Stat Neerl. 2008;62:458–481. doi:10.1111/j.1467-9574.2008.00390.x
   Web of Science ®Google Scholar
• Abbas N. Memory-type control charts in statistical process control [PhD. Thesis]. Universiteit van Amsterdam; 2012.
   Google Scholar
• Abbas N, Riaz M, Does RJ. An EWMA-type control chart for monitoring the process mean using auxiliary information. Commun Stat-Theory Methods. 2014;43:3485–3498. doi:10.1080/03610926.2012.700368
   Web of Science ®Google Scholar
• Haq A, Khoo MB. A new synthetic control chart for monitoring process mean using auxiliary information. J Stat Comput Simul. 2016;86:3068–3092. doi:10.1080/00949655.2016.1150477
   Web of Science ®Google Scholar
• Haq A, Khoo MB. Memory-type multivariate control charts with auxiliary information for process mean. Qual Reliab Eng Int. 2019;35:192–203. doi:10.1002/qre.2391
   Web of Science ®Google Scholar
• Anwar SM, Aslam M, Zaman B, et al. Mixed memory control chart based on auxiliary information for simultaneously monitoring of process parameters: an application in glass field. Comput Ind Eng. 2021;156:107284. doi:10.1016/j.cie.2021.107284
   Web of Science ®Google Scholar
• Haq A, Bibi L. The dual CUSUM charts with auxiliary information for process mean. Commun Stat-Simul Comput. 2022;51:164–189. doi:10.1080/03610918.2019.1648824
   Web of Science ®Google Scholar
• Dirbaz H, Amiri A, Maleki MR, et al. Improved control charts for phase II monitoring of simple linear profiles using auxiliary information. Scientia Iranica. 2023. doi:10.24200/sci.2023.59426.6238
   Google Scholar
• Saleh NA, Mahmoud MA, Woodall WH, et al. A review and critique of auxiliary information-based process monitoring methods. Qual Technol Quant Manag. 2023;20:1–20. doi:10.1080/16843703.2022.2081903
   Web of Science ®Google Scholar
• Haq A. Recovering the sensitivity of an auxiliary information based EWMA mean chart. Lobachevskii J Math. 2022;43:2463–2478. doi:10.1134/S1995080222120137
   Web of Science ®Google Scholar
• Abbas N, Ahmad S, Riaz M. Reintegration of auxiliary information based control charts. Comput Ind Eng. 2022;171:108479. doi:10.1016/j.cie.2022.108479
   Web of Science ®Google Scholar
• Haq A. An EWMA mean chart with auxiliary information. Qual Reliab Eng Int. 2023;39:971–981. doi:10.1002/qre.3274
   Web of Science ®Google Scholar
• Riaz M, Ajadi JO, Mahmood T, et al. Multivariate mixed EWMA-CUSUM control chart for monitoring the process variance-covariance matrix. IEEE Access. 2019;7:100174–100186. doi:10.1109/ACCESS.2019.2928637
   Web of Science ®Google Scholar
• Zhao Y, Tsung F, Wang Z. Dual CUSUM control schemes for detecting a range of mean shifts. IIE Trans. 2005;37:1047–1057. doi:10.1080/07408170500232321
   Web of Science ®Google Scholar
• Zaman B, Riaz M, Ahmad S, et al. On artificial neural networking based process monitoring under bootstrapping using runs rules schemes. Int J Adv Manuf Technol. 2015;76:311–327. doi:10.1007/s00170-014-6236-2
   Web of Science ®Google Scholar
• Abbas T, Qian Z, Ahmad S, et al. On monitoring of linear profiles using Bayesian methods. Comput Industrial Eng. 2016;94:245–268. doi:10.1016/j.cie.2016.02.007
   Web of Science ®Google Scholar
• Abid M, Nazir HZ, Riaz M, et al. Use of ranked set sampling in nonparametric control charts. J Chin Inst Eng . 2016;39:627–636. doi:10.1080/02533839.2016.1152165
   Web of Science ®Google Scholar
• Khaliq Q, Riaz M, Ahmad S. On designing a new Tukey-EWMA control chart for process monitoring. Int J Adv Manuf Technol. 2016;82:1–23. doi:10.1007/s00170-015-7289-6
   Web of Science ®Google Scholar
• Wu C, Yu M, Zhuang F. Properties and enhancements of robust likelihood CUSUM control chart. Comput Ind Eng. 2017;114:80–100. doi:10.1016/j.cie.2017.10.005
   Web of Science ®Google Scholar
• Zhang Y, Shang Y, Gao N, et al. Monitoring prespecified changes in linear profiles using control charts with supplementary runs rules. Commun Stat-Simul Comput. 2017;46:7249–7263. doi:10.1080/03610918.2016.1235190
   Web of Science ®Google Scholar
• Ahmad S, Abbasi SA, Riaz M, et al. On auxiliary information based control charts for autocorrelated processes with application in manufacturing industry. Int J Adv Manuf Technol. 2019;100:1965–1980. doi:10.1007/s00170-018-2671-9
   Web of Science ®Google Scholar
• Abbas T, Zaman B, Atir A, et al. On improved dispersion control charts under ranked set schemes for normal and non-normal processes. Qual Reliab Eng Int. 2019;35:1313–1341. doi:10.1002/qre.2531
   Web of Science ®Google Scholar
• Moustakides GV. Optimal stopping times for detecting changes in distributions. Ann Stat. 1986;14:1379–1387. doi:10.1214/aos/1176350164
   Web of Science ®Google Scholar