While working on one of my projects, I encountered control charts, an influential tool in statistical quality control. They play a crucial role in assisting businesses in maintaining and enhancing their processes. Now whether you’re new to the concept or looking to deepen your understanding, I’ll try to provide beginner friendly guide that will walk you through the basics of control charts.
What is a Control Chart?
A control chart is a graphical representation of a process over time, highlighting variations and trends. It enables you to distinguish between common cause variation (inherent to the process) and special cause variation (resulting from external factors). By identifying and addressing these variations, businesses can enhance process stability and product quality.
Components of a Control Chart
1. Data Collection: Start by collecting data points from your process. This could be measurements, counts, or any relevant metric.
2. Central Line (CL): The central line on a control chart represents the average or mean of your data. It serves as a reference point for detecting variations.
3. Control Limits: Upper and lower control limits are drawn on either side of the central line. They help…
