PH1XBAR-package: Phase I Shewhart X-bar Control Chart

In bolus123/PH1XBAR: Phase I Shewhart X-Bar Chart

Phase I Shewhart X-bar Control Chart

Description

The utility of this package is in building a Shewhart-type control chart based on new methods for subgrouped and individual data. The Phase I chart is based on the multivariate normal/t or ARMA process.

Details

Package:	PH1XBAR
Type:	Package
Date:	2023-10-20
License:	GPL (>= 3)

Function 'PH1XBAR' builds a Phase I Shewhart X-bar/individual control chart with a correct charting constant. Function 'getCC.XBAR' gets a charting constant for the data with a balanced one-way random effects model. Function 'PH1ARMA' builds a Phase I individual control chart with an ARMA model using a correct charting constant. Function 'getCC.ARMA' gets a charting constant for the data with an ARMA model.

Author(s)

Yuhui Yao, Subha Chakraborti, Tyler Thomas, Xin Yang, Jason Parton.

Maintainer: Yuhui Yao <[e-mail]>

References

Champ, C.W., and Jones, L.A. (2004) Designing Phase I X-bar charts with small sample sizes. Quality and Reliability Engineering International. 20(5), 497-510 Yao, Y., Hilton, C.W., and Chakraborti, S. (2017) Designing Phase I Shewhart X-bar charts: Extended tables and software. Quality and Reliability Engineering International. 33(8), 2667-2672. Yao, Y., and Chakraborti, S. (2021). Phase I monitoring of individual normal data: Design and implementation. Quality Engineering, 33(3), 443-456. Yao, Y., and Chakraborti, S. (2021). Phase I process monitoring: The case of the balanced one-way random effects model. Quality and Reliability Engineering International, 37(3), 1244-1265.

Examples

# Build a Phase I basic Shewhart control chart
data(grinder_data)
PH1XBAR(grinder_data, nsim=10)

# Build a Phase I individual control chart with an ARMA model
data(preston_data)
PH1ARMA(preston_data, nsim.process=10, nsim.coefs=10)

bolus123/PH1XBAR documentation built on Nov. 12, 2023, 6:21 a.m.