Relationships among control charts used with feedback control

George Runger, Mural Caner Testik, Fugee Tsung

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Feedback control is common in modern manufacturing processes and there is a need to combine statistical process control in such systems. Typical types of assignable causes are described and fault signatures are calculated. A fault signature can be attenuated by the controller and an implicit confounding among faults of different types is discussed. Furthermore, the relationships between various control statistics are developed. Control charts have been proposed previously for deviations from target and for control adjustments. We describe why one or the other can be effective in some cases, but that neither directly incorporates the magnitude (or signature) of an assignable cause. Various disturbance models and control schemes, both optimal and non-optimal, are included in a mathematically simple model that obtains results through properties of linear filters. We provide analytical results for a widely-used model of feedback control.

Original languageEnglish (US)
Pages (from-to)877-887
Number of pages11
JournalQuality and Reliability Engineering International
Volume22
Issue number8
DOIs
StatePublished - Dec 2006

Fingerprint

Feedback control
Statistical process control
Statistics
Controllers
Control charts
Fault
Controller
Manufacturing process
Filter
Confounding
Deviation

Keywords

  • Assignable cause
  • Closed-loop control
  • Deviations from target
  • Process control

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Management Science and Operations Research

Cite this

Relationships among control charts used with feedback control. / Runger, George; Testik, Mural Caner; Tsung, Fugee.

In: Quality and Reliability Engineering International, Vol. 22, No. 8, 12.2006, p. 877-887.

Research output: Contribution to journalArticle

Runger, George ; Testik, Mural Caner ; Tsung, Fugee. / Relationships among control charts used with feedback control. In: Quality and Reliability Engineering International. 2006 ; Vol. 22, No. 8. pp. 877-887.
@article{9d24fbd49908450caa1d782bae225771,
title = "Relationships among control charts used with feedback control",
abstract = "Feedback control is common in modern manufacturing processes and there is a need to combine statistical process control in such systems. Typical types of assignable causes are described and fault signatures are calculated. A fault signature can be attenuated by the controller and an implicit confounding among faults of different types is discussed. Furthermore, the relationships between various control statistics are developed. Control charts have been proposed previously for deviations from target and for control adjustments. We describe why one or the other can be effective in some cases, but that neither directly incorporates the magnitude (or signature) of an assignable cause. Various disturbance models and control schemes, both optimal and non-optimal, are included in a mathematically simple model that obtains results through properties of linear filters. We provide analytical results for a widely-used model of feedback control.",
keywords = "Assignable cause, Closed-loop control, Deviations from target, Process control",
author = "George Runger and Testik, {Mural Caner} and Fugee Tsung",
year = "2006",
month = "12",
doi = "10.1002/qre.774",
language = "English (US)",
volume = "22",
pages = "877--887",
journal = "Quality and Reliability Engineering International",
issn = "0748-8017",
publisher = "John Wiley and Sons Ltd",
number = "8",

}

TY - JOUR

T1 - Relationships among control charts used with feedback control

AU - Runger, George

AU - Testik, Mural Caner

AU - Tsung, Fugee

PY - 2006/12

Y1 - 2006/12

N2 - Feedback control is common in modern manufacturing processes and there is a need to combine statistical process control in such systems. Typical types of assignable causes are described and fault signatures are calculated. A fault signature can be attenuated by the controller and an implicit confounding among faults of different types is discussed. Furthermore, the relationships between various control statistics are developed. Control charts have been proposed previously for deviations from target and for control adjustments. We describe why one or the other can be effective in some cases, but that neither directly incorporates the magnitude (or signature) of an assignable cause. Various disturbance models and control schemes, both optimal and non-optimal, are included in a mathematically simple model that obtains results through properties of linear filters. We provide analytical results for a widely-used model of feedback control.

AB - Feedback control is common in modern manufacturing processes and there is a need to combine statistical process control in such systems. Typical types of assignable causes are described and fault signatures are calculated. A fault signature can be attenuated by the controller and an implicit confounding among faults of different types is discussed. Furthermore, the relationships between various control statistics are developed. Control charts have been proposed previously for deviations from target and for control adjustments. We describe why one or the other can be effective in some cases, but that neither directly incorporates the magnitude (or signature) of an assignable cause. Various disturbance models and control schemes, both optimal and non-optimal, are included in a mathematically simple model that obtains results through properties of linear filters. We provide analytical results for a widely-used model of feedback control.

KW - Assignable cause

KW - Closed-loop control

KW - Deviations from target

KW - Process control

UR - http://www.scopus.com/inward/record.url?scp=33845390027&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33845390027&partnerID=8YFLogxK

U2 - 10.1002/qre.774

DO - 10.1002/qre.774

M3 - Article

AN - SCOPUS:33845390027

VL - 22

SP - 877

EP - 887

JO - Quality and Reliability Engineering International

JF - Quality and Reliability Engineering International

SN - 0748-8017

IS - 8

ER -