Statistical models and control charts for high-quality processes
By: by M. Xie, T.N. Goh, V. Kuralmani.
Contributors: Goh, T. N.; Kuralmani, V.
Publisher: Kluwer Academic Publishers
Published: 2002
Place of publication: Boston
Language: eng
Number of pages: 276
Subjects: Production management -- Quality control -- Statistical methods.; Quality assurance -- Statistical methods.
Description: "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.
Notes: Includes bibliographical references (p. [263]-274) and index.
Table of contents: title: Machine generated contents note: 1.Introduction; title: 1.1.Basics of statistical process control; title: 1.2.Inadequacies of traditional attribute charts; title: 1.3.Need for quality improvement; title: 1.4.Common probability distributions in SPC; title: 2.Control Charts with Probability Limits; title: 2.1.Use of probability limits; title: 2.2.Setting up a control chart based on probability limits; title: 2.3.Probability limits for improvement detection; title: 2.4.Limitations with probability limits 3.Cumulative Count of Conforming (CCC) chart; title: 3.1.The basic idea; title: 3.2.Setting up the CCC chart; title: 3.3.Decision-making related to CCC chart; title: 3.4.CCC chart for grouped measurement; title: 3.5.Some comparisons with 3-sigma limits; title: 3.6.Cumulative quantity control (CQC) chart; title: 4.Process Improvement Detection; title: 4.1.Potential for process improvement; title: 4.2.Using CCC chart for process improvement; title: 5.Modified Implementation of Geometric Chart; title: 5.1.Optimum limits for maximum average run length; title: 5.2.Chart based on transformations; title: 5.3.A conditional decision procedure; title: 5.4.Effects of inspection errors; title: 5.5.Effects of estimated control limits; title: 6.Some Extensions to the Geometric Model; title: 6.1.Negative binomial control chart; title: 6.2.Modified Poisson model; title: 6.3.A Markov model for dependent counts; title: 6.4.A model for correlated attribute processes; title: 6.5.Some issues for further research 7.CUSUM and EWMA Procedures; title: 7.1.General CUSUM procedure; title: 7.2.CUSUM with CCC data; title: 7.3.Basics of EWMA charts; title: 7.4.EWMA with CCC data 8.Monitoring of Multiple Process Characteristics; title: 8.1.Need and approaches for multiple characteristics; title: 8.2.Multivariate np (Mnp) by weighted average; title: 8.3.A chart with multinomial distribution; title: 8.4.Some issues for further research; title: 9.Economic Design of Geometric Chart; title: 9.1.The Lorenzen and Vance model for economic design; title: 9.2.Economic design of CCC chart; title: 9.3.Economic-statistical design of CCC chart; title: 9.4.Some further extensions; title: 10.Monitoring and Adjustment of Trended Processes; title: 10.1.Adjustment for process improvement; title: 10.2.Interpretation of traditional Shewhart chart; title: 10.3.Modification of process capability indices; title: 10.4.Cost consideration and decision making.