The $(\overline{x},s)$ control chart is one of simultaneous control charts to monitor process mean and variance on $\overline{x}-s$ coordinate. The primary purpose of the $(\overline{x},s)$ control chart has been the judgement of the process condition at the time of individual samplings. Then, for the purpose of identifying some process parameters which are responsible for an out-of-control signal in the $(\overline{x},s)$ control chart, a method based on Akaike Information Criterion (AIC) has been proposed in recent years. However, similar to other simultaneous control charts, a disadvantage of the $(\overline{x},s)$ control chart is that the time-ordered nature of the data is visually lost. In this research, we address a way of overcoming the disadvantage of the $(\overline{x},s)$ control chart by giving visual information on the time progress. At first, we locate areas indicating a caution and a warning of an out-of-control condition on the $(\overline{x},s)$ control chart using AIC. Then, a method of drawing a time series of the sample mean and standard deviation on the $(\overline{x},s)$ control chart is considered using some techniques of the information visualization. Based on the consideration above, the procedure of perceiving the track of changes in the process condition up to the out-of-control signal is proposed.

的 $（\overline{X}，s）$ 控制图是同时控制图之一，用于监视过程均值和方差 $\overline{X}--s$坐标。的主要目的$（\overline{X}，s）$控制图是在单个采样时对过程条件的判断。然后，为了识别一些过程参数，这些过程参数会导致控制系统中的信号失控。$（\overline{X}，s）$控制图，近年来提出了一种基于赤池信息准则（AIC）的方法。但是，类似于其他同时控制图，它的缺点是$（\overline{X}，s）$控制图是在视觉上丢失了数据的时间顺序性质。在这项研究中，我们提出了一种方法来克服$（\overline{X}，s）$通过提供时间进度的可视信息来控制图表。首先，我们在指示区域上找到指示警告和失控状态的区域。$（\overline{X}，s）$控制图使用AIC。然后，一种方法是在样本上绘制样本均值和标准差的时间序列$（\overline{X}，s）$使用一些信息可视化技术来考虑控制图。基于上述考虑，提出了感知过程条件变化直至失控信号的过程。