Assessment of Multivariate Process Control Techniques

Robert L. Mason; Charles W. Champ; Nola D. Tracy; Siebrand J. Wierda; John C. Young

Assessment of Multivariate Process Control Techniques

Robert L. Mason, Charles W. Champ, Nola D. Tracy, Siebrand J. Wierda, John C. Young

Mathematical Sciences

Southwest Research Institute

Research output: Contribution to journal › Article › peer-review

101 Scopus citations

Abstract

A control chart is a useful statistical tool that aids practitioners in controlling and monitoring various production process in the industry. Choosing the techniques that would best fit the monitoring process would be a critical decision in gaining quality to the production. Issues in determining whether to use multivariate process control techniques to monitor an industrial process is discussed. Assessment of the problems that will occur when the using the multivariate procedures is also presented.

Original language	American English
Journal	Journal of Quality Technology
Volume	29
State	Published - Jan 1 1997

Keywords

Multivariate
Process Control
Techniques

DC Disciplines

Education
Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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http://asq.org/qic/display-item/index.html?item=11486

Cite this

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title = "Assessment of Multivariate Process Control Techniques",

abstract = "A control chart is a useful statistical tool that aids practitioners in controlling and monitoring various production process in the industry. Choosing the techniques that would best fit the monitoring process would be a critical decision in gaining quality to the production. Issues in determining whether to use multivariate process control techniques to monitor an industrial process is discussed. Assessment of the problems that will occur when the using the multivariate procedures is also presented.",

keywords = "Multivariate, Process Control, Techniques",

author = "Mason, {Robert L.} and Champ, {Charles W.} and Tracy, {Nola D.} and Wierda, {Siebrand J.} and Young, {John C.}",

year = "1997",

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language = "American English",

volume = "29",

journal = "Journal of Quality Technology",

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T1 - Assessment of Multivariate Process Control Techniques

AU - Mason, Robert L.

AU - Champ, Charles W.

AU - Tracy, Nola D.

AU - Wierda, Siebrand J.

AU - Young, John C.

PY - 1997/1/1

Y1 - 1997/1/1

N2 - A control chart is a useful statistical tool that aids practitioners in controlling and monitoring various production process in the industry. Choosing the techniques that would best fit the monitoring process would be a critical decision in gaining quality to the production. Issues in determining whether to use multivariate process control techniques to monitor an industrial process is discussed. Assessment of the problems that will occur when the using the multivariate procedures is also presented.

AB - A control chart is a useful statistical tool that aids practitioners in controlling and monitoring various production process in the industry. Choosing the techniques that would best fit the monitoring process would be a critical decision in gaining quality to the production. Issues in determining whether to use multivariate process control techniques to monitor an industrial process is discussed. Assessment of the problems that will occur when the using the multivariate procedures is also presented.

KW - Multivariate

KW - Process Control

KW - Techniques

UR - https://digitalcommons.georgiasouthern.edu/math-sci-facpubs/507

UR - http://asq.org/qic/display-item/index.html?item=11486

M3 - Article

SN - 0022-4065

VL - 29

JO - Journal of Quality Technology

JF - Journal of Quality Technology

ER -

Assessment of Multivariate Process Control Techniques

Abstract

Keywords

DC Disciplines

UN SDGs

Access to Document

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