Enhanced quality evaluation system for continuous manufacturing processes, part 1. Theory

Kevin Dooley, S. G. Kapoor

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

A quality evaluation system is presented which gives enhanced information about the nature of quality changes in continuous manufacturing processes. The system monitors a quality characteristic of the process via stochastic time series models and detects shifts in the process mean, variance, and dynamic parameters. A rule base classifies the type of change that occurred, and change magnitude and time of occurrence are estimated. Part 1 of the work addresses the theoretical issues concerning the statistics used by the rule base and their behavior under various process changes. The characteristics of the cusum chart, autocorrelation chart, and Chi-Square test are derived with respect to each of the possible change mechanisms.

Original languageEnglish (US)
Pages (from-to)57-62
Number of pages6
JournalJournal of engineering for industry
Volume112
Issue number1
StatePublished - Feb 1990
Externally publishedYes

Fingerprint

Autocorrelation
Time series
Statistics

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Enhanced quality evaluation system for continuous manufacturing processes, part 1. Theory. / Dooley, Kevin; Kapoor, S. G.

In: Journal of engineering for industry, Vol. 112, No. 1, 02.1990, p. 57-62.

Research output: Contribution to journalArticle

@article{c838860655254864aa807e1ec417cc6b,
title = "Enhanced quality evaluation system for continuous manufacturing processes, part 1. Theory",
abstract = "A quality evaluation system is presented which gives enhanced information about the nature of quality changes in continuous manufacturing processes. The system monitors a quality characteristic of the process via stochastic time series models and detects shifts in the process mean, variance, and dynamic parameters. A rule base classifies the type of change that occurred, and change magnitude and time of occurrence are estimated. Part 1 of the work addresses the theoretical issues concerning the statistics used by the rule base and their behavior under various process changes. The characteristics of the cusum chart, autocorrelation chart, and Chi-Square test are derived with respect to each of the possible change mechanisms.",
author = "Kevin Dooley and Kapoor, {S. G.}",
year = "1990",
month = "2",
language = "English (US)",
volume = "112",
pages = "57--62",
journal = "Journal of Manufacturing Science and Engineering, Transactions of the ASME",
issn = "1087-1357",
publisher = "American Society of Mechanical Engineers(ASME)",
number = "1",

}

TY - JOUR

T1 - Enhanced quality evaluation system for continuous manufacturing processes, part 1. Theory

AU - Dooley, Kevin

AU - Kapoor, S. G.

PY - 1990/2

Y1 - 1990/2

N2 - A quality evaluation system is presented which gives enhanced information about the nature of quality changes in continuous manufacturing processes. The system monitors a quality characteristic of the process via stochastic time series models and detects shifts in the process mean, variance, and dynamic parameters. A rule base classifies the type of change that occurred, and change magnitude and time of occurrence are estimated. Part 1 of the work addresses the theoretical issues concerning the statistics used by the rule base and their behavior under various process changes. The characteristics of the cusum chart, autocorrelation chart, and Chi-Square test are derived with respect to each of the possible change mechanisms.

AB - A quality evaluation system is presented which gives enhanced information about the nature of quality changes in continuous manufacturing processes. The system monitors a quality characteristic of the process via stochastic time series models and detects shifts in the process mean, variance, and dynamic parameters. A rule base classifies the type of change that occurred, and change magnitude and time of occurrence are estimated. Part 1 of the work addresses the theoretical issues concerning the statistics used by the rule base and their behavior under various process changes. The characteristics of the cusum chart, autocorrelation chart, and Chi-Square test are derived with respect to each of the possible change mechanisms.

UR - http://www.scopus.com/inward/record.url?scp=0025383159&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0025383159&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0025383159

VL - 112

SP - 57

EP - 62

JO - Journal of Manufacturing Science and Engineering, Transactions of the ASME

JF - Journal of Manufacturing Science and Engineering, Transactions of the ASME

SN - 1087-1357

IS - 1

ER -