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The cover of “Statistical models and control charts for high-quality processes” - Open Library.

"Statistical models and control charts for high-quality processes" was published by Kluwer Academic Publishers in 2002 - Boston, it has 276 pages and the language of the book is English.


“Statistical models and control charts for high-quality processes” Metadata:

  • Title: ➤  Statistical models and control charts for high-quality processes
  • Authors:
  • Language: English
  • Number of Pages: 276
  • Publisher: Kluwer Academic Publishers
  • Publish Date:
  • Publish Location: Boston

“Statistical models and control charts for high-quality processes” Subjects and Themes:

Edition Specifications:

  • Pagination: xiv, 276 p. :

Edition Identifiers:

AI-generated Review of “Statistical models and control charts for high-quality processes”:


"Statistical models and control charts for high-quality processes" Table Of Contents:

  • 1- Machine generated contents note: 1.Introduction
  • 2- 1.1.Basics of statistical process control
  • 3- 1.2.Inadequacies of traditional attribute charts
  • 4- 1.3.Need for quality improvement
  • 5- 1.4.Common probability distributions in SPC
  • 6- 2.Control Charts with Probability Limits
  • 7- 2.1.Use of probability limits
  • 8- 2.2.Setting up a control chart based on probability limits
  • 9- 2.3.Probability limits for improvement detection
  • 10- 2.4.Limitations with probability limits 3.Cumulative Count of Conforming (CCC) chart
  • 11- 3.1.The basic idea
  • 12- 3.2.Setting up the CCC chart
  • 13- 3.3.Decision-making related to CCC chart
  • 14- 3.4.CCC chart for grouped measurement
  • 15- 3.5.Some comparisons with 3-sigma limits
  • 16- 3.6.Cumulative quantity control (CQC) chart
  • 17- 4.Process Improvement Detection
  • 18- 4.1.Potential for process improvement
  • 19- 4.2.Using CCC chart for process improvement
  • 20- 5.Modified Implementation of Geometric Chart
  • 21- 5.1.Optimum limits for maximum average run length
  • 22- 5.2.Chart based on transformations
  • 23- 5.3.A conditional decision procedure
  • 24- 5.4.Effects of inspection errors
  • 25- 5.5.Effects of estimated control limits
  • 26- 6.Some Extensions to the Geometric Model
  • 27- 6.1.Negative binomial control chart
  • 28- 6.2.Modified Poisson model
  • 29- 6.3.A Markov model for dependent counts
  • 30- 6.4.A model for correlated attribute processes
  • 31- 6.5.Some issues for further research 7.CUSUM and EWMA Procedures
  • 32- 7.1.General CUSUM procedure
  • 33- 7.2.CUSUM with CCC data
  • 34- 7.3.Basics of EWMA charts
  • 35- 7.4.EWMA with CCC data 8.Monitoring of Multiple Process Characteristics
  • 36- 8.1.Need and approaches for multiple characteristics
  • 37- 8.2.Multivariate np (Mnp) by weighted average
  • 38- 8.3.A chart with multinomial distribution
  • 39- 8.4.Some issues for further research
  • 40- 9.Economic Design of Geometric Chart
  • 41- 9.1.The Lorenzen and Vance model for economic design
  • 42- 9.2.Economic design of CCC chart
  • 43- 9.3.Economic-statistical design of CCC chart
  • 44- 9.4.Some further extensions
  • 45- 10.Monitoring and Adjustment of Trended Processes
  • 46- 10.1.Adjustment for process improvement
  • 47- 10.2.Interpretation of traditional Shewhart chart
  • 48- 10.3.Modification of process capability indices
  • 49- 10.4.Cost consideration and decision making.

"Statistical models and control charts for high-quality processes" Description:

The Open Library:

"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.

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