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- Why Upper Specification Limits Matter in Process Improvement
What is the upper specification limit? Find out how it relates to your data analysis, and how it benefits your process improvement
- Calculate Capability Indices with Only One Specification
USL, upper specification limit; LSL, lower specification limit *Estimated sigma = average range d2 Common understanding includes the fact that Cpk climbs as a process improves – the higher the Cpk, the better the product or process Using the formula above, it’s easy to calculate Cpk once the mean, standard deviation, and upper and lower specification limits are known Only One
- Lower Specification Limit (LSL): Get to Grips with Your Production
What is the lower specification limit? Find out how this measurement applies to your production and clues you into your processes
- How to Calculate and Utilize Upper Control Limit - iSixSigma
Mastering the upper control limit is unlocking the potential for your SPC Learn how to leverage this effective tool during your analysis
- Cpk vs. Sigma Level: What’s the Difference? - isixsigma. com
Cpk = min (USL-mean 3σ, mean-LSL 3σ) This means that Cpk is equal to the minimum value of these two calculations For example, if USL-mean 3σ gives you 1 16 and mean-LSL 3σ gives you 1 25, your Cpk is going to be 1 16 That is because 1 16 is the lower of the two amounts and is therefore used as the minimum value
- A Guide to Control Charts - iSixSigma
How do you know which control charts to use for an improvement project? Our guide can help you identify which works best for your needs
- Cp, Cpk, Pp and Ppk: Know How and When to Use Them
These represent categorical variables, which by definition carry an ideal USL of 100 percent error-free processing, rendering the traditional statistical measures (Cp, Cpk, Pp, and Ppk) inapplicable to categorical variables
- Process Capability Calculations with Non-Normal Data
Data that is not distributed normally can be analyzed more effectively by: 1) dividing data into subsets according to business subprocesses, 2) mathematically transforming data and specification limits and 3) turning continuous data into discrete data
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