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 ContentsPart I. Quality Basics1. ASQ Code of Ethics2. Quality Planning3. Cost of Quality (COQ) 4. Quality Standards, Requirements, and Specifications5. Documentation Systems6. Audits7. Teams8. Training ComponentsPart II. Problem Solving and Improvement9. Basic Quality Tools10. Continuous Improvement Models11. Basic Quality Management Tools12. Project Management Tools13. Taguchi Concepts14. Lean15. BenchmarkingPart III. Data Analysis16. Terms and Definitions17. Data Types and Collection Methods18. Sampling19. Measurement Terms20. Statistical Process Control (SPC)21. Regression and Correlation22. Hypothesis Testing23. Design of Experiments (DOE)24. Analysis of Variance (ANOVA)Part IV. Customer-Supplier Relations25. Internal and External Customers and Suppliers26. Customer Satisfaction Analysis27. Product/Process Approval Systems28. Reliability29. Supplier Management30. Elements of Corrective and Preventive Action 31. Material Identification, Status, and Traceability 32. ConclusionPart V. AppendicesAppendix A: Quality Process Analyst Body of Knowledge Appendix B: Areas under Standard Normal CurveAppendix C: Control Limit Formulas Appendix D: Factors for Control Charts Endnotes Glossary ReferencesIndex