Learn how to use a control chart in Excel to monitor and analyze your process variation. Find out how to calculate and plot the center line and control limits, and how to identify out-of-control ...

When the process is in statistical control, a point may fall outside the control limits purely by chance, resulting in a false out-of-control signal. However, when the Shewhart chart correctly signals ...

These are typically captured using a control chart -- a statistical tool used in manufacturing or business to show the extent of the variation in a process.

How to Use Microsoft Excel to Draw Control Charts and Graphs. A control chart plots measured values along with upper and lower quality control limits. Values appearing outside these limits are ...

Learn about the six types of statistical process control (SPC) charts that can help you monitor and improve the quality and consistency of your manufacturing process.

Statistical process control (SPC) is an analytical technique that plots data over time. It helps us understand variation and in so doing guides us to take the most appropriate action.

Over the past decades, control charts, one of the essential tools in Statistical Process Control (SPC), have been widely implemented in manufacturing industries as an effective approach for Anomaly ...

This paper introduces two Shewhart-type control charts for monitoring the relative risk rate when the lifetimes of competing risks are independent Weibull random variables. The former chart is ...

Fuzzy control charts represent a significant evolution in Statistical Process Control (SPC) by addressing intrinsic uncertainties in measurement and human evaluation that classical approaches ...