Statistical models and control charts for high-quality processes

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Last edited by MARC Bot
November 15, 2023 | History

Statistical models and control charts for high-quality processes

  • 1 Want to read

"Many examples, charts, and procedures, are presented throughout the book; and references are provided for those interested in exploring the details. A number of questions and issues are posed for further investigations. Researchers and students may find many ideas in this book useful in their academic work, as a foundation is laid for the exploration of many further theoretical and practical issues."--BOOK JACKET.

Publish Date
Language
English
Pages
276

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Previews available in: English

Edition Availability
Cover of: Statistical Models and Control Charts for High-Quality Processes
Statistical Models and Control Charts for High-Quality Processes
2012, Springer London, Limited
in English
Cover of: Statistical models and control charts for high-quality processes
Statistical models and control charts for high-quality processes
2002, Kluwer Academic Publishers
in English
Cover of: Statistical Models and Control Charts for High Quality Processes
Statistical Models and Control Charts for High Quality Processes
June 30, 2002, Springer
Hardcover in English - 1 edition

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Book Details


Table of Contents

Machine generated contents note: 1.Introduction
1.1.Basics of statistical process control
1.2.Inadequacies of traditional attribute charts
1.3.Need for quality improvement
1.4.Common probability distributions in SPC
2.Control Charts with Probability Limits
2.1.Use of probability limits
2.2.Setting up a control chart based on probability limits
2.3.Probability limits for improvement detection
2.4.Limitations with probability limits 3.Cumulative Count of Conforming (CCC) chart
3.1.The basic idea
3.2.Setting up the CCC chart
3.3.Decision-making related to CCC chart
3.4.CCC chart for grouped measurement
3.5.Some comparisons with 3-sigma limits
3.6.Cumulative quantity control (CQC) chart
4.Process Improvement Detection
4.1.Potential for process improvement
4.2.Using CCC chart for process improvement
5.Modified Implementation of Geometric Chart
5.1.Optimum limits for maximum average run length
5.2.Chart based on transformations
5.3.A conditional decision procedure
5.4.Effects of inspection errors
5.5.Effects of estimated control limits
6.Some Extensions to the Geometric Model
6.1.Negative binomial control chart
6.2.Modified Poisson model
6.3.A Markov model for dependent counts
6.4.A model for correlated attribute processes
6.5.Some issues for further research 7.CUSUM and EWMA Procedures
7.1.General CUSUM procedure
7.2.CUSUM with CCC data
7.3.Basics of EWMA charts
7.4.EWMA with CCC data 8.Monitoring of Multiple Process Characteristics
8.1.Need and approaches for multiple characteristics
8.2.Multivariate np (Mnp) by weighted average
8.3.A chart with multinomial distribution
8.4.Some issues for further research
9.Economic Design of Geometric Chart
9.1.The Lorenzen and Vance model for economic design
9.2.Economic design of CCC chart
9.3.Economic-statistical design of CCC chart
9.4.Some further extensions
10.Monitoring and Adjustment of Trended Processes
10.1.Adjustment for process improvement
10.2.Interpretation of traditional Shewhart chart
10.3.Modification of process capability indices
10.4.Cost consideration and decision making.

Edition Notes

Includes bibliographical references (p. [263]-274) and index.

Published in
Boston

Classifications

Dewey Decimal Class
658.5/62
Library of Congress
TS156 .X54 2002, T57.6-.97

The Physical Object

Pagination
xiv, 276 p. :
Number of pages
276

ID Numbers

Open Library
OL19289156M
Internet Archive
statisticalmodel00xiem
ISBN 10
1402070748
LCCN
2002066117
OCLC/WorldCat
49626400
Goodreads
6036991

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History

Download catalog record: RDF / JSON
November 15, 2023 Edited by MARC Bot import existing book
July 31, 2019 Edited by MARC Bot associate edition with work OL9196448W
July 7, 2019 Edited by MARC Bot import existing book
December 3, 2010 Edited by Open Library Bot Added subjects from MARC records.
December 11, 2009 Created by WorkBot add works page