The Control chart is specifically designed to monitor process variation over time. It helps distinguish between common cause variation (inherent to the process) and special cause variation (due to specific events or factors). Here’s why the Control chart is the right choice:
Variation Detection: Control charts display data points along with control limits (upper and lower). If a data point falls outside these limits, it signals special cause variation. Common cause variation, on the other hand, results in data points within the control limits.
Patterns and Trends: Control charts reveal patterns, trends, and shifts in the process. Sudden spikes, cycles, or systematic changes indicate special causes affecting the process.
Statistical Analysis: Control charts use statistical methods to assess variation. Commonly used types include X-bar (for process mean) and R (for range) charts. These charts help identify unusual patterns.
Early Detection: By monitoring process variation continuously, Control charts allow early detection of special causes. This enables timely corrective action.
In summary, the Control chart is a powerful tool for quality managers to identify special cause variation and take appropriate actions12.
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