A variable sample size (VSS) scheme directly monitoring the coefficient of variation (CV), instead of monitoring the transformed statistics, is proposed. Optimal chart parameters are computed based on two criteria: (i) minimizing the out-of-control ARL (ARL1) and (ii) minimizing the out-of-control ASS (ASS1). Then the performances are compared between these two criteria. The advantages of the proposed chart over the VSS chart based on the transformed statistics in the existing literature are: the former (i) provides an easier alternative as no transformation is involved and (ii) requires less number of observations to detect a shift when ASS1 is minimized
In recent years, control charts monitoring the coefficient of variation (CV), denoted as the ratio o...
International audienceIn this paper, we propose a variable sampling interval Shewhart control chart ...
Several methods have been proposed to improve the performance of quality control chats when small an...
Control charts for monitoring the coefficient of variation (CV) have been receiving a lot of attenti...
In monitoring the coefficient of variation (CV), the variable sampling interval (VSI) type charts ar...
This article is the first of its kind which proposes a Variable Parameters (VP) chart to monitor the...
An efficient way to perform quality monitoring is important for a lot of industries, particularly in...
Control charts for monitoring the coefficient of variation (CV) are attracting increasing attention ...
In recent years, the coefficient of variation (CV) chart is receiving increasing attention in qualit...
An efficient process monitoring system is important for achieving sustainable manufacturing. The con...
International audienceOnline monitoring of the multivariate coefficient of variation (MCV) can be of...
In the literature, the variable sample size and sampling interval (VSSI) coefficient of variation (C...
International audienceIn many industrial manufacturing processes, the ratio of the variance to the m...
A control chart is one of the effective tools in statistical process control (SPC) for improving pro...
Control charts are mostly used for the monitoring of process mean and dispersion. In cases, when the...
In recent years, control charts monitoring the coefficient of variation (CV), denoted as the ratio o...
International audienceIn this paper, we propose a variable sampling interval Shewhart control chart ...
Several methods have been proposed to improve the performance of quality control chats when small an...
Control charts for monitoring the coefficient of variation (CV) have been receiving a lot of attenti...
In monitoring the coefficient of variation (CV), the variable sampling interval (VSI) type charts ar...
This article is the first of its kind which proposes a Variable Parameters (VP) chart to monitor the...
An efficient way to perform quality monitoring is important for a lot of industries, particularly in...
Control charts for monitoring the coefficient of variation (CV) are attracting increasing attention ...
In recent years, the coefficient of variation (CV) chart is receiving increasing attention in qualit...
An efficient process monitoring system is important for achieving sustainable manufacturing. The con...
International audienceOnline monitoring of the multivariate coefficient of variation (MCV) can be of...
In the literature, the variable sample size and sampling interval (VSSI) coefficient of variation (C...
International audienceIn many industrial manufacturing processes, the ratio of the variance to the m...
A control chart is one of the effective tools in statistical process control (SPC) for improving pro...
Control charts are mostly used for the monitoring of process mean and dispersion. In cases, when the...
In recent years, control charts monitoring the coefficient of variation (CV), denoted as the ratio o...
International audienceIn this paper, we propose a variable sampling interval Shewhart control chart ...
Several methods have been proposed to improve the performance of quality control chats when small an...