You simply can’t put it to use predict the long run, just as in C

“It could be argued that the use of and C_pk (with sufficient sample size) are far more valid estimates of long and short term capability of processes since the 1.5 sigma shift has a shaky statistical foundation.” Eoin

“C_pk tells you what the process is CAPABLE of doing in future, assuming it remains in a state of statistical control. tells you how the process has performed in the past. _pk, because the process is not in a state of control. The values for C_pk and will converge to almost the same value when the process is in statistical control. that is because sigma and the sample standard deviation will be identical (at least as can be distinguished by an F-test). When out of control, the values will be distinctly different, perhaps by a very wide margin.” Jim Parnella

“C_p and C_pk are for want Farmers dating computing the index with respect to the subgrouping of your data (different shifts, machines, operators, etc.), while P_p and are for the whole process (no subgrouping). For both and C_pk the ‘k stands for ‘centralizing facteur it assumes the index takes into consideration the fact that your data is maybe not centered (and hence, your index shall be smaller). It is more realistic to use P_p and than C_p or C_pk as the process variation cannot be tempered with by inappropriate subgrouping. However, C_p and C_pk can be very useful in order to know if, under the best conditions, the process is capable of fitting into the specs or not.It basically gives you the best case scenario for the existing process.” Chantal

“C_p should always be greater than 2.0 for a good process which is under statistical control. For a good process under statistical control, C_pk should be greater than 1.5.” Ranganadha Kumar

So it formula getting Sigma Requires the technique to get in good state from analytical handle

“As for /C_pk, they mean one or the other and you will find people confusing the definitions and you WILL find books defining them versa and vice versa. You will have to ask the definition the person is using that you are talking to.” Joe Perito

“I just finished up a meeting with a vendor and we had a nice discussion of C_pk vs. . We had the definitions exactly reversed between us. The outcome was to standardize on definitions and move forward from there. My suggestion to others is that each company have a procedure or document (we do not), which has the definitions of C_pk and in it. This provides everyone a standard to refer to for WHEN we forget or get confused.” John Adamo

P_pk

_{“The Six Sigma community standardized on definitions of Cp, Cpk, Pp, and} from AIAG SPC manual page 80. You can get the manual for about $7.” Gary

“C_pk is calculated using an estimate of the standard deviation calculated using R-bar/d2. uses the usual form of the standard deviation ie the root of the variance or the square root of the sum of squares divided by n 1. The R-bar/D2 estimation of the standard deviation has a smoothing effect and the C_pkstatistic is less sensitive to points which are further away from the mean than is .” Eoin

“C_pk is calculated using RBar/d2 or SBar/c4 for Sigma in the denominator of you equation. If not in control, your calculation of Sigma (and hence Cpk) is useless it is only valid when in-control.” Jim Parnella

“You can have a ‘good C_pk yet still have data outside the specification, and the process needs to be in control before evaluating C_pk.” Matt

“ produces an index number (like 1.33) for the process variation. C_pk references the variation to your specification limits. If you just want to know how much variation the process exhibits, a measurement is fine. If you want to know how that variation will affect the ability of your process to meet customer requirements (CTQs), you should use C_pk.” Michael Whaley