A stable process is one in which the inputs and conditions are consistent over time. When a process is stable, it is said to be "in control". This means the sources of variation are consistent over time, and the process does not exhibit unpredictable variation. In contrast, if a process is unstable and changing over time, the sources of variation are inconsistent and unpredictable. As a result of the instability, statistical test results cannot be relied upon with confidence.
In this webinar, we will talk about:
● What are common-cause variation and special-cause variation?
● How to determine whether your process is stable and predictable using statistical process control charts?
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