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"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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Previews available in: English
Subjects
Production management, Quality assurance, Quality control, Statistical methods, Mathematical optimization, Economics, Systems theory, Industrial quality control, Operational research, Operations Research, Mathematical Statistics, Production Engineering, Technology, Business / Economics / Finance, Science/Mathematics, Probability & Statistics - General, Engineering - Industrial, Business & Economics / Operations Research, Business & Economics / Quality Control, Business & Economics-Operations Research, Technology-Engineering - Industrial, ManufacturingShowing 3 featured editions. View all 3 editions?
Edition | Availability |
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1
Statistical Models and Control Charts for High-Quality Processes
2012, Springer London, Limited
in English
1461510155 9781461510154
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2
Statistical models and control charts for high-quality processes
2002, Kluwer Academic Publishers
in English
1402070748 9781402070747
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WorldCat
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3
Statistical Models and Control Charts for High Quality Processes
June 30, 2002, Springer
Hardcover
in English
- 1 edition
1402070748 9781402070747
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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.
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Feedback?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 |