 This study proposes an adaptive exponentially weighted moving-based coefficient of variation, AEW-MCV, control chart that utilizes ranked set sampling, and its modified schemes to enhance performance in scenarios with fluctuating process means and changing standard deviations. The proposed control chart outperforms traditional CV control charts in detecting subtle variations in the process CV, making it a valuable contribution to the field of control chart methodology, especially when dealing with challenging or costly data collection scenarios. This article was authored by Afshan Riaz, Mohammed Noyuel Amin, Wally Deem, and others.