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I am comparing sample (or short term) capability vs overall (or long term) capability for several processes for my data set (cannot share), using jmp In this blog we will try and remove some of the confusion and explain the differences between the indices and how they can be used in a practical way. I find that for some processes, the overall ppk is smaller than the lowest sample capability.
I would like to understand how ppk could be lower than the lowest cpk There is quite some confusion about the use of these indices To perform the analysis, you must specify a lower (lsl) and upper (usl) specification limit to define your process requirements
Target of the process can also be specified.
The lowest limit a customer would accept A customer would expect no less than 100 m&ms to be in a packet before being dissatisfied. It’s important to look at both cpk and ppk, particularly early in the learning phase of a process The root cause for large differences between cpk and ppk should be understood and may indicate a problem that needs to be addressed.
When cpk and ppk values are similar, it generally indicates that the process is stable and predictable However, if ppk is significantly higher than cpk, this signals potential process instability. One of the most important themes in the world of quality, seen in at least three different places in jmp 17.if you, or your company, need customized training. It's nice that jmp has overhauled the labeling but the key to subverting confusion is understanding the calculations for what they are, and why they are
Cpk and ppk are in and of themselves structurally the same formula, except that cpk uses a different estimate of sigma than does ppk.
With a cpk of less than 1.0 we can conclude that the capability of this process is not very good Anything less than 1.0 should be considered not capable and we should strive for a cpk to reach levels of greater than 1 and preferably over 1.33. In this blog post we will discuss the most common used indices cp, cpk, pp and ppk
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