Certified Quality Process Analyst Handbook Christensen Eldon H Coombesbetz by Christensen, Eldon H.; Coombes-betz, Kathleen M.; Stein, Marilyn S. 9780873897099, 9780873897976, 9781621983095, 0873897099, 0873897978, 1621983099 instant download after payment.

This new Handbook was developed to assist those preparing for the Certified Quality Process Analyst certification. It covers the certification’s Body of Knowledge explicitly and comprehensively. The book and certification are aimed at the paraprofessional who, in support of and under the direction of quality engineers or supervisors, analyzes and solves quality problems and is involved in quality improvement projects. This book is perfect for both recent graduates and those with work experience who want to expand their knowledge of quality tools and processes. The first section begins with the quality principles embodied by the ASQ Code of Ethics. The second section focuses on Problem Solving and Improvement. The Data Analysis section provides the analytical methods to interpret and compare data sets and model processes. Basic statistics, probability, sampling methods, statistical process control (SPC), basic statistical decision tools, regression and correlation, and Design of Experiments (DOE) are explained in this third section. Finally, any successful enterprise must understand its Customer-Supplier Relations, the last section of the book. Effective customer-supplier relations are key to high customer satisfaction and the ultimate measure of a company’s worth.
Content:
Front Matter
• List of Figures and Tables
• Introduction
• Table of Contents
•Part I. Quality Basics
1. ASQ Code of Ethics
2. Quality Planning
3. Cost of Quality (COQ)
• 4. Quality Standards, Requirements, and Specifications
5. Documentation Systems
6. Audits
7. Teams
8. Training Components
•Part II. Problem Solving and Improvement
9. Basic Quality Tools
10. Continuous Improvement Models
11. Basic Quality Management Tools
12. Project Management Tools
13. Taguchi Concepts
14. Lean
15. Benchmarking
•Part III. Data Analysis
16. Terms and Definitions
17. Data Types and Collection Methods
18. Sampling
19. Measurement Terms
20. Statistical Process Control (SPC)
21. Regression and Correlation
22. Hypothesis Testing
23. Design of Experiments (DOE)
24. Analysis of Variance (ANOVA)
•Part IV. Customer-Supplier Relations
25. Internal and External Customers and Suppliers
26. Customer Satisfaction Analysis
27. Product/Process Approval Systems
28. Reliability
29. Supplier Management
30. Elements of Corrective and Preventive Action
• 31. Material Identification, Status, and Traceability
• 32. Conclusion
•Part V. Appendices
Appendix A: Quality Process Analyst Body of Knowledge
• Appendix B: Areas under Standard Normal Curve
Appendix C: Control Limit Formulas
• Appendix D: Factors for Control Charts
• Endnotes
• Glossary
• References
Index