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 o
The ASQ Certified Quality Process Analyst Handbook
✍ Scribed by Sandra L. Furterer
- Publisher
- ASQ Quality Press
- Year
- 2022
- Tongue
- English
- Leaves
- 519
- Edition
- 3
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
This handbook is designed as a reference for ASQ’s Certified Quality Process Analyst (CQPA) Body of Knowledge (BoK), providing the essential information needed to prepare for the CQPA examination.
The handbook and certification are aimed at quality professionals who, in support of and under the direction of quality engineers or supervisors, analyze and solve quality problems and are involved in quality improvement projects. It’s ideal for recent graduates and experienced professionals who want to expand their knowledge of quality tools and processes.
There are five main sections in the CQPA Body of Knowledge, further subdivided into related subsections. These sections are:
• Quality Concepts and Team Dynamics • Quality Tools and Process Improvement Techniques Data Analysis • Customer-Supplier Relations • Corrective and Preventive Action (CAPA) The relevant portion of the CQPA Body of Knowledge is excerpted at the beginning of each Body of Knowledge section in the text as a guide for the reader.This updated edition has been revised and expanded to match the 2020 BoK with enhancements to:
• the definition of quality and why it’s important to various stakeholder groups • the benefits of quality to the organization • tools for assessing training effectiveness • discussion of the Six Sigma DMAIC methodology and process maps with a focus on process architecture • examples of lean and value analysis, discussion of Theory of Constraints • risk management, business process management and lifecycle phases • the importance of data collection and analysis, data integrity, validity, and reliability • examples of gage R&R and attribute agreement analysis✦ Table of Contents
Cover
Title page
CIP data
Table of Contents
List of Figures and Tables
Acknowledgments
Introduction
Part I. Quality Concepts and Team Dynamics
Chapter 1. Professional Conduct and Ethics
Code of Ethics
Chapter 2. Quality Concepts
Quality
Quality Planning
Quality Standards, Requirements, and Specifications
Quality Documentation
Cost of Quality (COQ)
Chapter 3. Quality Audits
Audit Types
Audit Components
Audit Roles and Responsibilities
Chapter 4. Team Dynamics
Types of Teams
Team Development
Team Stages
Team Roles and Responsibilities
Team Conflict
Chapter 5. Training and Evaluation
Link Training to Organizational Goals
Needs Assessment
Adapt Information to Meet Adult Learning Styles
Select the Training Delivery Method
Evaluate Training Effectiveness
Link to Organizational and Individual Performance Measures
Tools for Assessing Training Effectiveness
Part II. Quality Tools and Process Improvement Techniques
Chapter 6. Process Improvement Concepts and Approaches
Plan–Do–Check–Act (PDCA)
Kaizen
Incremental and Breakthrough Improvement
Chapter 7. Basic Quality Tools
Cause-and-Effect Diagram
Flowcharts (Process Maps)
Check Sheets
Pareto Charts
Scatter Diagram
Histograms
Chapter 8. Process Improvement Techniques
Lean
Six Sigma
Benchmarking
Risk Management
Business Process Management (BPM)
Chapter 9. Management and Planning Tools
Quality Management Tools
Project Management Tools
Part III. Data Analysis
Chapter 10. Basic Concepts
Basic Statistics
Basic Distributions
Probability Concepts
Reliability Concepts
Chapter 11. Data Types, Collection, and Integrity
Measurement Scales
Data Types
Data Collection and Analysis
Data Integrity
Data Plotting
Chapter 12. Sampling
Sampling Methods
Acceptance Sampling
ANSI/ASQ Z1.4
ANSI/ASQ Z1.9
Chapter 13. Measurement System Analysis (MSA)
Measurement
Concepts in Measurements
Chapter 14. Statistical Process Control (SPC)
Fundamental Concepts
Rational Subgroups
Control Charts for Attributes Data
Control Charts for Variables Data
Common and Special Cause Variation
Process Capability Measures
Chapter 15. Advanced Statistical Analysis
Regression and Correlation Models
Hypothesis Testing
Null Hypothesis
Design of Experiments (DOE)
Taguchi Concepts and Methods
Analysis of Variance (ANOVA)
Part IV. Customer–Supplier Relations
Chapter 16. Internal and External Customers and Suppliers
Internal Customers
Improving Internal Processes and Services
Effect of Treatment of Internal Customers on That of External Customers
Methods to Energize Internal Customers
External Customers
External Customers’ Influence on Products and Services
Chapter 17. Customer Satisfaction Methods
Surveys
Focus Groups
Complaint Forms
Warranty and Guarantee Analysis
Quality Function Deployment
Chapter 18. Product and Process Approval Systems
Verification
Validation and Qualification Methods
Chapter 19. Supplier Management
Supplier Selection
Supplier Performance
Key Measures of Supplier Performance
Supplier Assessment Metrics
Chapter 20. Material Identification, Status, and Traceability
Importance of Materials Identification
Key Requirements for Tracking Materials
Methods for Segregating Nonconforming Materials
A Sample Procedure for Tracking Materials
Part V. Corrective and Preventive Action (CAPA)
Chapter 21. Corrective Action
Problem Identification and Assessment
Contain the Negative Effects Resulting from the Defect
Identify Root Causes
Corrective Action
Verify and Confirm Effectiveness
Chapter 22. Preventive Action
Identify Potential Problems
Identify Potential Causes
Part VI. Appendices
Appendix A. Body of Knowledge for the ASQ Certified Quality Process Analyst (CQPA)—2020
Levels of Cognition Based on Bloom’s Taxonomy—Revised (2001)
Appendix B. Areas under Standard Normal Curve
Appendix C. Control Limit Formulas
Variables Charts
Attributes Charts
Appendix D. Factors for Control Charts
Endnotes
Glossary
Bibliography
Index
About the Editor
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