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In this video, you will know the key difference between Cp and Cpk.
To prosper in today’s economic environment, it is important to continually improve our processes. We must continue to seek efficient methods of improving our products and services to enhance their value.
To accomplish this, understanding the processes, their variation (common and special cause), reasons why it is happening and its statistical interpretation is pertinent. To understand more about it, clarity about Cp and Cpk is necessary.
Dr. Walter Shewhart developed the first control chart in the 1920s to describe common and special causes. The key objective of implementing statistical techniques is to
- Improve quality
- Increase productivity
- Reduce cost
There are 2 key needs for process controls through statistical techniques
1. Detection (tolerates waste)
2. Prevention (avoid waste)
There can be 3 key types of variation in the process
1. Location (mean/central value)
2. Spread (width/span)
3. Shape (Pattern of variation-skewed, asymmetrical, etc.)
There are 2 key types of causes for the variation in the process
1. Common Cause: Variations that are consistently acting on the process. Produce a stable and repeatable distribution over time (in a state of statistical control)
2. Special Cause (Assignable causes): Variations that affect only some part of the process output. Often intermittent and unpredictable.
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#cpk
