A control chart is a statistical tool that helps businesses and manufacturing units identify variations in processes.

 A control chart is a statistical tool that helps businesses and manufacturing units identify variations in processes. It's a graph that plots data over time to study how a process changes. The main purpose of a control chart is to determine if a process is stable and in control, meaning that the outcomes are predictable. 

Here are some key elements of a control chart: 

Centerline: Represents the average value of the process output

Upper and lower control limits (UCL and LCL): Show the acceptable range of variation for the process

Data points: Represent the actual output of the process over time

Some types of control charts include: 

X bar control chart

Range “R” control chart

Standard Deviation “S” control chart

Attribute Control Charts

“u” and “c” control charts

“p” and “np” control charts

Pre-control Charts

Control charts are also known as Shewhart Charts or Statistical Process Control Charts (SPCC).