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Destructive, Dynamic, and Attribute Measurement Systems (Mawby)

 
 Author(s)  William D. Mawby
 Title  Make Your Destructive, Dynamic, and Attribute Measurement System Work for You
 Edition  1st
 Year  2006
 Publisher  ASQ Quality Press
 ISBN  978-0-87389-691-7
 Website  http://qualitypress.asq.org  (publisher)
 






Table of Contents

Chapter 1 - The Need for Measurement Systems Analysis
  • The Critical Nature of Senses
  • Product Classification Effects
  • Process Adjustment
  • Process Control Effects
  • Analysis Effects
  • Learning Effects


Chapter 2 - Review of the Standard Variables Measurement Systems Analysis
  • Measurement Uncertainty
  • Measurement Analysis
  • Problems and Limitations of the Standard MSA


Chapter 3 - The Variability in the Estimate of Repeatability and Reproducibility
  • Evaluating the Variability Inherent in the Repeatability Estimates
  • Variability Impact of Adding Appraisers to the ANOVA
  • The What-If Scenarios
  • The Impact on Estimate of the RandR Index
  • Summary and Prescription


Chapter 4 - Extending the Standard MSA to Other Sources of Uncertainty
  • Extending the ANOVA MSA to More Sources
  • Summary


Chapter 5 - Deformative Measurements
  • Complex Measurement Systems
  • The Naive Approach to Non-repeatable MSAs
  • A Corrective Approach to Non-repeatable MSAs
  • A Design Approach to Non-repeatable MSAs
  • An Analysis Approach to Non-repeatable MSAs


Chapter 6 - Destructive Measurement Systems
  • The Naive Approach
  • Blending Approach
  • The Standardization Approach
  • A Modeling Approach


Chapter 7 - In-Line Dynamic Measurement Systems
  • Some Measurement Systems without True Repeats


Chapter 8 - The Design of MSA Studies
  • Some Basic Design Needs
  • The Adequate Isolation of Effects
  • Adequate Sample Size Attainment
  • Designing for the Unexpected


Chapter 9 - The Basic Approach to Attribute Measurement Analysis
  • The Standard Effectiveness Approach
  • Sample Size Effects for the Attribute Analysis
  • The Effects of Non-independence in the Repeats
  • Effects of Poorly Chosen Reference Parts
  • Corrections to the Procedure


Chapter 10 - A More Powerful Approach to Attribute Measurement Analysis
  • Repeatability with No Reference
  • Adding Costs to the Analysis
  • Using Prediction Probabilities
  • Different Decision Rules


Chapter 11 - Extending the Attribute MSA
  • Logistic Analysis
  • Application of Logistic Regression to a Simple Attribute MSA
  • Application of Logistic Regression to an RandR Study
  • Extension of the MSA to Other Discrete Sources of Dispersion
  • Extension of the MSA to Other Continuous Sources of Dispersion
  • Extension to Destructive Attribute MSA


Chapter 12 - The Evaluation of Measurement System Value
  • The Concept of Risk
  • Risk on Product Sorting
  • The Cost Component
  • Risk Evaluation for Attribute Gages
  • Risk Assessment
  • Applying Measurement Risk Programs
  • Risk Improvement Approaches
  • Maintenance of a Measurement Management Program


Chapter 13 - The Reliability of Measurement Systems
  • The Dynamic Nature of Measurement Systems
  • Failure-Based Reliability for Measurement Systems
  • An Example Showing the Different Approaches
  • Closing Remarks


Chapter 14 - A Review of Progress with an Eye to the Future
  • Current Status of MSA
  • Future Directions for MSAs






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