Process Monitoring and Improvement Handbook
eBook - PDF

Process Monitoring and Improvement Handbook

  1. 209 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Process Monitoring and Improvement Handbook

About this book

The concept of process monitoring and improvement applies to any type of industry: automotive, textiles, food, pharmaceuticals, biologics, medical devices, electronics, aerospace, banking, educational institutions, service providers, and so on. The focus of this book is to identify and apply different process monitoring and improvement tools in any organization.This book is aimed at engineers, scientists, analysts, technicians, managers, supervisors, and all other professionals responsible to measure and improve the quality of their processes. Many times, these professionals do not have a formal education on the use of these tools but learn about them throughout the different improvement projects in which they are involved in their work environment. This book is intended to fill the gap between the lack of formal education in the tools and the need to implement those tools in an improvement project. The book can also be used as a refresher course for those professionals who did learn about these tools as part of their educational background.

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Yes, you can access Process Monitoring and Improvement Handbook by Manuel E. Peña-Rodríguez in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Manufacturing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title page
  3. CIP data
  4. Table of Contents
  5. List of Figures and Tables
  6. Preface
  7. Chapter 1: Importance of Process Monitoring and Improvement
  8. Chapter 2: Different Approaches for Process Monitoring and When to Use Them
  9. Chapter 3: Process Variation
  10. Chapter 4: Basic Principles of Statistics
  11. Chapter 5: Graphical Tools
  12. Chapter 6: Measurement Systems Analysis
  13. Chapter 7: Process Capability
  14. Chapter 8: Hypothesis Testing
  15. Chapter 9: Regression Analysis
  16. Chaper 10: Design of Experiments
  17. Chapter 11: Control Charts
  18. Chapter 12: Afterword
  19. Appendix A: Variable and Attribute Data Applications
  20. Appendix B: Applications for Various Graphical and Statistical Tools
  21. Appendix C: Most Commonly Used Hypothesis Tests
  22. Index