333
Views
14
CrossRef citations to date
0
Altmetric
Original Articles

Statistical Control of Multiple-Stream Processes: A Shewhart Control Chart for Each Stream

, , &
Pages 185-194 | Published online: 18 Apr 2008
 

ABSTRACT

Shewhart control charts for multiple stream processes (MSP) are studied in this article, including control limits, correlation influence, and average run lengths. Graphs are presented to aid in the design of control charts. Subgroups of one unit per stream or partial samples were taken. An example based on industry data is presented and analyzed to show the application and a comparison with other well-known methodologies for statistical control of MSP.

ACKNOWLEDGMENTS

The authors acknowledge Ms. Elena Saccone and Michael Hellmer for their help with English language issues.

Notes

a For the set of MSP Shewhart control charts (one for each stream), when ±3σ T control limits for each stream are used, and there is no correlation between them.

Process is out of control when one or more charts showed a point outside control limits.

b In σ T units, calculated limits for MSP Shewhart control charts (one for each stream), in order to maintain type I error probability at 0.0027, when ρ = 0.

a The estimated values were calculated from 53 units for each stream. The machine was set to a target value of 0.700 g.

b Stream #13.

c Stream #5.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 694.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.