Tools
Concepts
Interpretation & Calculations
Histograms, Process Capability
Applications
Key Success Factors for the Implementation of SPC
How to Study Process Capability
SPC to Improve Quality, Reduce Cost
Use Of SPC To Detect Process Manipulation
A Process Capability Index. The ratio of the tolerance (specification, or permitted amount of variation) to the process variation.
A value of 1 indicates the process variation exactly equals the tolerance.
Values of less than 1 indicate the allowable variation (the tolerance) is less than the process variation.
Values of more than 1 indicate that the process variation is less than the tolerance.
Values greater than 1 are most desirable, and many customers recommend values of 1.33 or greater. This allows a margin of error in case a process shift occurs that is not immediately detected.
Normal distributions:
Johnson distributions:
where:
σx is Process Sigma, calculated using the Moving Range (when subgroup size = 1) or Subgroup Sigma (subgroup size >1) statistic.
Ordinate0.99865 and ordinate0.00135 are the z-values of the non-normal cumulative distribution curve at the 99.865 percentage point and the 0.135 percentage points, respectively.
See also:
Capability index Calculation in Minitab
Learn more about the SPC principles and tools for process improvement in Statistical Process Control Demystified (2011, McGraw-Hill) by Paul Keller, in his online SPC Concepts short course (only $39), or his online SPC certification course ($350) or online Green Belt certification course ($499).