Sharif University of Technology Scientia Iranica 1026-3098 32 12 2025 05 01 Improved CEM–RBS control charts for monitoring the process mean using ranked–based sampling designs 24168 10.24200/sci.2022.57495.5268 EN Muhammad Tayyab Department of Statistics, National College of Business Administration and Economics, Lahore, Pakistan. Wasif Yasin Department of Statistics, National College of Business Administration and Economics, Lahore, Pakistan. Asma Arshad Department of Statistics, National College of Business Administration and Economics, Lahore, Pakistan. Muhammad Noor-ul-Amin Department of Statistics, COMSATS University Islamabad, Lahore Campus, Pakistan. Muhammad Hanif Department of Statistics, National College of Business Administration and Economics, Lahore, Pakistan. Journal Article 2021 01 08 In this study, different Ranked-Based Sampling (RBS) schemes are used to design a sensitive control chart to monitor the small or moderate shifts in the process mean, and are named combined Exponentially Weighted Moving Average (EWMA) Moving Average (MA) RBS (CEM-RBS) control charts. The Average Run-Length (ARL) and the Standard Deviation of the Run-Length (SDRL) are computed through Monte Carlo (MC) simulation runs to evaluate the performance of the proposed charts in comparison with the existing charts such as MA, EWMA, EWMA-MA, and the EWMA under RBS control charts. It is proved through a comparative study that the proposed CEM–RBS charts indicate a significant improvement in the performance of the EWMA-MA chart by using the RBS concept. A real dataset-based example is also included to explain the concept in detail. https://scientiairanica.sharif.edu/article_24168_66629dc988951697474e99165f5692de.pdf