capability.summary: Calculate Summary of Quality Performance Parameters

In ggQC: Quality Control Charts for 'ggplot'

Description

function to report listing of quality performance parameters

• Proc. Tolerance (sigma): Describes the number of your process sigma (from QC charting) that can fit in your customer's specification window (the larger the better).

• DNS (sigma): Distance to Nearest Specification (DNS) limit. Measure of how centered your process is and how close you are to the nearest process limit in sigma units.

• Cp: Describes how many times your 6 sigma process window (from QC charting) can fit in your customer's specification window (the larger the better)

• Cpk: Describes how centered your process is relative to customer specifications. How many times can you fit a 3 sigma window (from QC charting) between your process center and the nearest customer specification limit.

• Pp: Describes how many times your 6 sigma process window (overall standard deviation) can fit in your customer's specification window (the larger the better)

• Ppk: Describes how centered your process is relative to customer specifications. How many times can you fit a 3 sigma window (overall standard deviation) between your process center and the nearest customer specification limit.

Usage

capability.summary(LSL, USL, QC.Center, QC.Sigma, s.Sigma, digits = 2)

Arguments

LSL	number, customer's lower specification limit.
USL	number, customer's upper specification limit.
QC.Center	number, the mean or median value determined from an XmR plot or a Studentized (e.g., xBar) analysis.
QC.Sigma	number, the sigma value determined from an XmR plot or a Studentized (e.g., xBar) analysis.
s.Sigma	number, the sigma value determined from overall standard deviation (i.e., sd()).
digits	integer, how many digits to report.

Value

data frame , listing of metric labels and value

ggQC documentation built on May 1, 2019, 10:26 p.m.