Distribution-Free CUSUM-Type Control Charts for Monitoring Industrial Processes: An Overview
Author:
Affiliation:
1. Department of Computer Science & Biomedical Informatics, University of Thessaly, Lamia 35131, Greece.
2. Department of Mathematics, Computer Science & Engineering, Graphic Era Deemed to be University, Dehradun-248002, Uttarakhand, India.
Abstract
Publisher
International Journal of Mathematical, Engineering and Management Sciences plus Mangey Ram
Subject
General Engineering,General Business, Management and Accounting,General Mathematics,General Computer Science
Reference98 articles.
1. Abid, M., Mei, S., Nazir, H.Z., Riaz, M., & Hussain, S. (2021). A mixed HWMA-CUSUM mean chart with an application to manufacturing process. Quality and Reliability Engineering International, 37(2), 618-631.
2. Abid, M., Nazir, H.Z., Riaz, M., & Lin, Z. (2017). Investigating the impact of ranked set sampling in nonparametric CUSUM control charts. Quality and Reliability Engineering International, 33(1), 203-214.
3. Abid, M., Nazir, H.Z., Tahir, M., & Riaz, M. (2018). On designing a new cumulative sum, Wilcoxon signed rank chart for monitoring process location, PloS One, 13(4), 1-18.
4. Abujiya, M., & Muttlak, H. (2004). Quality control chart for the mean using double ranked set sampling. Journal of Applied Statistics, 31(10), 1185-1201.
5. Ali, R., & Haq, A. (2018). A mixed GWMA-CUSUM control chart for monitoring the process mean. Communications in Statistics-Theory and Methods, 47(15), 3779-3801.
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2. Wilcoxon-Type Control Charts Based on Multiple Scans;Stats;2024-03-07
3. An optimally designed distribution‐free CUSUM procedure for tri‐aspect surveillance of continuous processes;Quality and Reliability Engineering International;2023-05-09
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