Principles of Quality Assurance

Foreword
Introduction

Chapter 1: Quality Concepts
1.1 Quality 
1.2 Quality Control 
1.3 Quality Improvement 
1.4 Statistical Process Control (SPC)
1.5 Quality Assurance (QA) 
1.6 Process 
1.7 Quality Tools and Standards 

Chapter 2: Quality Management System Requirements (QMS)
2.1 Quality Management System 
2.2 Management Responsibilities 
2.3 Resource Management 
2.4 Product Realization 
2.5 Measurement, Analysis, and Improvement 

Chapter 3: Lean Enterprise
3.1 Waste 
3.2 Types of Waste 
3.2.1 Overproduction 
3.2.2 Waiting 
3.2.3 Transportation 
3.2.4 Defects 
3.2.5 Inventory 
3.2.6 Motion 
3.2.7 Extra Processing 
3.3 Organizing a Waste-Free Workplace 
3.3.1 Sort 
3.3.2 Straighten
3.3.3 Shine 
3.3.4 Standardize 
3.3.5 Sustain 
3.4 Production Flow 

Chapter 4: Introduction to Statistics
4.1 Mean (Average) 
4.2 Median 
4.3 Mode 
4.4 Measures of Dispersion 

Chapter 5: Pareto Rule (80/20 Rule)
5.1 Practical Application 
5.2 Pareto Diagram Example 
5.3 Step 1—Rank Costs 
5.4 Interpretation 

Chapter 6: Normal Distribution
6.1 Properties of the Normal Distribution 
6.2 Empirical Rule (68–95–99.7 Rule) 
6.3 Process Capability 

Chapter 7: Capable Systems
7.1 Process Capability Ratio (Cp) 
7.2 Interpretation of Cp 
7.3 Non-Centered Processes 
7.4 Capability Conditions 

Chapter 8: Midterm Review Topics
8.1 Review Concepts 
8.2 True/False Concepts 
8.3 Capability Interpretation 
8.4 Waste Management Review 
8.5 Total Productive Maintenance (TPM) 
8.6 Pareto Rule Review 

Chapter 9: Probabilities
9.1 Definitions 
9.1.1 Basic Definition of Probability 
9.1.2 Probability Limits
9.2 Probability Theorems 
9.2.1 Complement Rule 
9.2.2 Addition Rule (Mutually Exclusive Events) 
9.2.3 Addition Rule (Non-Mutually Exclusive Events) 
9.2.4 Total Probability Rule 
9.2.5 Multiplication Rule (Independent Events) 
9.2.6 Dependent Events 
9.3 Counting Events 
9.3.1 Simple Multiplication Rule 
9.4 Discrete Probability Distributions 
9.5 Continuous Probability 
9.6 Summary of Statistical Tools Used in Quality Engineering 

Chapter 10: Control Charts
10.1 Control Charts for Variables 
10.1.1 Sources of variation 
10.1.2 Classification/Categories 
10.1.3 Quality characteristics 
10.1.4 Control limits 
10.1.5 Central limit 
10.2 Control Charts for Attributes 
10.2.1 Attributes versus variables 
10.2.2 Limitations of variable controls 
10.2.3 Control limits for attributes 
10.2.4 Center line and New Center line 

Chapter 11: Management Decision Processes
11.1 Why-Why Techniques 
11.2 Forced Field Analysis 
11.3 Decision Matrix 

Appendix
Table A 
Table B