Add to ORKGThis study uses Monte Carlo simulation to examine the performance of a variable frequency sampling cumulative sum control chart scheme for controlling the mean of a normal process. The study compares the performance of the method with that of a standard fixed interval sampling cumulative sum control chart scheme. The results indicate that the variable frequency sampling cumulative sum control chart scheme is superior to the standard cumulative sum control chart scheme in detecting a small to moderate shift in the process mean
In Statistical Process Control (SPC), the control charting technique is an effective method to solve...
This article proposes an adaptive absolute cumulative sum chart (called the adaptive ACUSUM chart) f...
The cumulative count of conforming (CCC) chart is effective in detecting very low fraction of noncon...
[[abstract]]This paper proposes a synthetic control chart for jointly monitoring the shifts in the m...
International audienceIn many industrial manufacturing processes, the ratio of two normal random var...
This paper proposes a synthetic control chart for jointly monitoring the shifts in the mean and/or s...
Graduation date: 1987In production processes, there are two types of\ud variations that affect produ...
A control chart is one of the effective tools in statistical process control (SPC) for improving pro...
High-dimensional applications pose a significant challenge to the capability of conventional statist...
In this paper, a new control chart scheme has been developed for monitoring the production process m...
Repetitive sampling has been found very popular in improving the control chart techniques for last c...
Herein, we present a new control chart called the mixed double moving average-cumulative sum control...
In monitoring the coefficient of variation (CV), the variable sampling interval (VSI) type charts ar...
This study utilizes a Monte Carlo simulation to examine the performance of multivariate geometric mo...
Control charts are mostly used for the monitoring of process mean and dispersion. In cases, when the...
In Statistical Process Control (SPC), the control charting technique is an effective method to solve...
This article proposes an adaptive absolute cumulative sum chart (called the adaptive ACUSUM chart) f...
The cumulative count of conforming (CCC) chart is effective in detecting very low fraction of noncon...
[[abstract]]This paper proposes a synthetic control chart for jointly monitoring the shifts in the m...
International audienceIn many industrial manufacturing processes, the ratio of two normal random var...
This paper proposes a synthetic control chart for jointly monitoring the shifts in the mean and/or s...
Graduation date: 1987In production processes, there are two types of\ud variations that affect produ...
A control chart is one of the effective tools in statistical process control (SPC) for improving pro...
High-dimensional applications pose a significant challenge to the capability of conventional statist...
In this paper, a new control chart scheme has been developed for monitoring the production process m...
Repetitive sampling has been found very popular in improving the control chart techniques for last c...
Herein, we present a new control chart called the mixed double moving average-cumulative sum control...
In monitoring the coefficient of variation (CV), the variable sampling interval (VSI) type charts ar...
This study utilizes a Monte Carlo simulation to examine the performance of multivariate geometric mo...
Control charts are mostly used for the monitoring of process mean and dispersion. In cases, when the...
In Statistical Process Control (SPC), the control charting technique is an effective method to solve...
This article proposes an adaptive absolute cumulative sum chart (called the adaptive ACUSUM chart) f...
The cumulative count of conforming (CCC) chart is effective in detecting very low fraction of noncon...