In this paper, a new neutrosophic exponentially weighted moving average (NEWMA) control chart based on the moving average statistic is proposed. Stated differently, the NEWMA chart is used to handle uncertain production numbers. Moreover, a NEWMA design is applied with moving average statistic to get a sensitive control chart for the quick detection of any unwanted process variations. The efficacy of the chart is evaluated with the average run lengths that are computed using Monte Carlo simulations. Also, a comparative study has been performed with some existing control charts that use the classical and neutrosophic moving average statistics. The implementation of the proposed control chart has been illustrated with the simulated and temperature datasets. It was found that the proposed chart performs well.

本文提出了一种基于移动平均统计量的新的中智指数加权移动平均（NEWMA）控制图。换句话说，NEWMA图表用于处理不确定的生产数量。此外，将NEWMA设计与移动平均统计一起应用，以获得灵敏的控制图，以快速检测任何不需要的过程变化。通过使用蒙特卡洛模拟计算得出的平均游程长度来评估图表的功效。而且，已经对一些使用经典和中智移动平均统计的现有控制图进行了比较研究。所提出的控制图的实现已通过仿真和温度数据集进行了说明。发现所提出的图表表现良好。