The and CUSUM control charts are used most widely for monitoring the mean of a quality characteristic x. This article studies the sample sizes and nCUSUM of these two charts in the domain of statistical design. However, the study takes the important sampling inspection cost (including the variable and fixed cost components) into consideration. The chart performance will be measured by a weighted average ATS (Average Time to Signal). There are two interesting findings based on the results of this study: (1) The chart becomes more statistically effective for detecting mean shifts when the fixed sampling cost cannot be neglected and/or when the mean shift range is small. If and nCUSUM are set as 4 and 1, respectively, based on some conventiona...
Statistical quality control techniques are useful in monitoring the process behaviour. Attribute co...
This article compares the effectiveness and robustness of nine typical control charts for monitoring...
This article compares the effectiveness and robustness of nine typical control charts for monitoring...
This project develops the algorithm and presents the methodology for designing the optimal xbar , S...
A control chart is one of the effective tools in statistical process control (SPC) for improving pro...
This report examines the effectiveness of the Bernoulli Cusum chart to detect the shift in the proce...
This project proposed the optimization design of the Cumulative Sum (CUSUM) control chart by finding...
In quality control (QC), control chart is one of the most effective tools to monitor the process and...
In quality control (QC), control chart is one of the most effective tools to monitor the process and...
A cumulative sum (CUSUM) control chart is one of the most popular methods used to detect a process m...
Control charts are designed to monitor population parameters. Selection of a control chart sampling ...
This article presents the optimization design of the combined Shewhart chart and CUSUM chart ( chart...
This article compares the effectiveness and robustness of nine typical control charts for monitoring...
This article proposes an adaptive absolute cumulative sum chart (called the adaptive ACUSUM chart) f...
Statistical quality control techniques are useful in monitoring the process behaviour. Attribute co...
Statistical quality control techniques are useful in monitoring the process behaviour. Attribute co...
This article compares the effectiveness and robustness of nine typical control charts for monitoring...
This article compares the effectiveness and robustness of nine typical control charts for monitoring...
This project develops the algorithm and presents the methodology for designing the optimal xbar , S...
A control chart is one of the effective tools in statistical process control (SPC) for improving pro...
This report examines the effectiveness of the Bernoulli Cusum chart to detect the shift in the proce...
This project proposed the optimization design of the Cumulative Sum (CUSUM) control chart by finding...
In quality control (QC), control chart is one of the most effective tools to monitor the process and...
In quality control (QC), control chart is one of the most effective tools to monitor the process and...
A cumulative sum (CUSUM) control chart is one of the most popular methods used to detect a process m...
Control charts are designed to monitor population parameters. Selection of a control chart sampling ...
This article presents the optimization design of the combined Shewhart chart and CUSUM chart ( chart...
This article compares the effectiveness and robustness of nine typical control charts for monitoring...
This article proposes an adaptive absolute cumulative sum chart (called the adaptive ACUSUM chart) f...
Statistical quality control techniques are useful in monitoring the process behaviour. Attribute co...
Statistical quality control techniques are useful in monitoring the process behaviour. Attribute co...
This article compares the effectiveness and robustness of nine typical control charts for monitoring...
This article compares the effectiveness and robustness of nine typical control charts for monitoring...