The Certified Quality Engineer's Handbook

by
Edition: Supplement
Format: Hardcover
Pub. Date: 2001-09-01
Publisher(s): Asq Pr
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Table of Contents

List of Figures and Tables
xv
Preface xxi
Acknowledgments xxv
Part I The Quality Leader
Quality Leadership
2(25)
Introduction and Scope
2(1)
Body of Knowledge
2(1)
Management Systems for Improving Quality
2(12)
Policy Deployment
2(1)
Goal Setting
3(1)
Planning and Scheduling
4(3)
Project Management
7(6)
Quality Information Systems
13(1)
Leadership Principles and Techniques
14(5)
Developing, Building, and Organizing Teams
14(4)
Leading Quality Initiatives
18(1)
Facilitation Principles and Techniques
19(5)
Facilitator Roles and Responsibilities in the Team Environment
19(3)
Idea Processing and Decision Making
22(2)
Summary
24(3)
Quality Management
27(51)
Professional Conduct and ASQ Code of Ethics
27(2)
Introduction and Scope
27(1)
Ethical Dilemmas
27(2)
Summary of Ethics
29(1)
Training
29(9)
Introduction and Scope
29(1)
Need for Knowledge of Training
30(1)
Needs Analysis
30(3)
Program Development
33(2)
Material Construction
35(1)
Determining Effectiveness
36(2)
Summary of Training
38(1)
Quality Costs
38(10)
Introduction and Scope
38(1)
The Economics of Quality
39(1)
Goal of a Quality Cost System
40(1)
Management of Quality Costs
40(1)
Quality Cost Categories
41(3)
Implementation
44(1)
Quality Cost Collection
44(1)
Quality Cost Summary and Analysis
45(1)
Quality Cost Reporting
46(1)
Using Quality Costs
46(1)
Quality Improvement and Reducing Quality Costs
46(1)
Summary of Quality Costs
47(1)
Quality Philosophies and Approaches
48(10)
Introduction and Scope
48(1)
Benefits of Quality
48(1)
History of Quality
49(1)
Philip B. Crosby
50(1)
W. Edwards Deming
50(2)
George D. Edwards
52(1)
Armand V. Feigenbaum
53(1)
Kaoru Ishikawa
54(1)
Joseph M. Juran
54(1)
Walter A. Shewhart
55(1)
Genichi Taguchi
56(1)
Definitions of Quality
56(1)
Summary of Quality Philosophies and Approaches
57(1)
Customer Relations, Expectations, Needs, and Satisfaction
58(7)
Introduction and Scope
58(1)
Body of Knowledge (Section I, Part H)
59(1)
Customer Needs and Wants
59(1)
Quality Function Deployment
59(4)
Customer-Driven Quality
63(2)
Summary of Customer Relations, Expectations, Needs, and Satisfaction
65(1)
Supplier Relations and Management Methodologies
65(7)
Introduction and Scope
65(1)
Procurement Standards and Specifications
65(2)
Survey versus Audit versus Inspection
67(5)
Summary of Supplier Relations and Management Methodologies
72(1)
Summary
72(6)
Part II Quality Planning, Implementation, and Control
Quality Systems Development, Implementation, and Verification
78(14)
Introduction and Scope
78(1)
Body of Knowledge
78(1)
Elements of a Quality System
78(5)
Documentation of the Quality System
81(2)
ANSI/ISO/ASQ Q9000-2000
83(2)
Quality System Implementation
85(1)
Domestic and International Standards
86(1)
Quality Audit
86(4)
Audit Objectives
87(1)
Types of Quality Audits
87(1)
Roles and Responsibilities
88(1)
Planning and Execution
88(1)
Audit Reporting and Follow-up
89(1)
Summary
90(2)
Quality Planning
92(22)
Introduction and Scope
92(1)
Body of Knowledge
92(7)
Strategic Quality Planning
94(4)
Tactical Quality Planning
98(1)
AQP Disciplines
99(12)
Plan and Define
100(2)
Product Design and Development
102(2)
Process Design and Development
104(6)
Product and Process Validation
110(1)
Market Research and Quality Engineering
111(1)
Summary
112(2)
Material Control
114(9)
Introduction and Scope
114(1)
Body of Knowledge
114(1)
Classification
114(1)
Identification of Materials
115(1)
Principles of Identification
115(1)
Mechanics
115(1)
Maintaining Product Integrity
116(2)
Sample Integrity
116(1)
Batch Control
116(1)
Change Control
117(1)
Configuration Control
117(1)
Traceability
118(1)
Principles
118(1)
Factors to Consider
118(1)
Disposition
119(2)
Material Review Board
120(1)
Product Recall
121(1)
Summary
121(2)
Inspection, Testing, and Acceptance Sampling
123(51)
Introduction and Scope
123(1)
Body of Knowledge
123(1)
Inspection
123(3)
Uses of Inspection
124(1)
Quality Characteristics
125(1)
Defect Classification
125(1)
Sampling Inspection versus 100 Percent Inspection
126(4)
Inspector Qualifications
127(1)
Inspector Training
127(1)
Human Factors in Inspection Performance
128(1)
Inspection Planning
129(1)
Testing
130(2)
Nondestructive Testing (NDT) Techniques
131(1)
Acceptance Sampling
132(12)
Lot-by-Lot versus Average Quality Protection
132(1)
The Operating Characteristic (OC) Curve
132(2)
Acceptance Sampling by Attributes
134(6)
Types of Attribute Sampling Plans
140(4)
ANSI/ASQC Z1.4-1993
144(4)
Levels of Inspection
145(3)
Dodge-Romig Tables
148(1)
Variables Sampling Plans
148(1)
ANSI/ASQC Z1.9-1993
149(4)
Variability Unknown---Range Method
150(1)
Variability Unknown---Standard Deviation Method
151(2)
Sequential Sampling Plans
153(2)
Continuous Sampling Plans
155(2)
Types of Continuous Sampling Plans
156(1)
Other Approaches for Variables Sampling Plans
157(4)
Variables Plan When the Standard Deviation Is Known
158(1)
Sample Sizes for Given α and β Values
159(2)
Summary
161(13)
Part III Technical Systems
Measurement Systems
174(41)
Introduction and Scope
174(1)
Body of Knowledge
174(1)
Context of Measurements
174(1)
Standards of Measurements
175(1)
Concern with Standards
175(5)
Definitions of Base Units
175(4)
Physical Artifacts
179(1)
Paper Standards
179(1)
The Measurement Process
180(3)
General Characteristics
180(1)
Measuring System
180(3)
Concepts in Measurement
183(6)
Error in Measurement
183(1)
Accuracy
184(1)
Precision
184(1)
Sensitivity and Readability
185(1)
Consistency
185(1)
Needs for Accuracy and Precision
185(1)
Repeatability and Reproducibility
185(1)
Evaluation of Accuracy
186(2)
Traceability
188(1)
Measurement Assurance
188(1)
Calibration
189(2)
Calibration Control System
189(2)
Dimensional Measurements and Standards in Manufacturing
191(1)
Controlling Product Quality
191(1)
Dimensional Measurement
192(1)
Measurement Standards
192(1)
Measurement Technology
192(2)
Length and Angle Measurements
192(2)
Selection of the Measuring Instrument
194(2)
Basic Linear Measuring Instruments
195(1)
Angular Measuring Devices
195(1)
Layout and Locating Devices
195(1)
Gages
195(1)
Dial Indicators
196(1)
Comparators
196(1)
Gage Blocks
196(1)
Surface Texture Measurement
196(3)
Numerical Assessment of the Surface
196(3)
Stylus System of Measurement
199(1)
Measurement of Roundness
199(3)
What Is ``Out-of-Roundness''?
199(1)
Measurement Methods
200(2)
Gage Repeatability and Reproducibility (GR&R)
202(3)
Part-to-Part Variation
203(1)
Total Variation
204(1)
Dimensioning and Tolerancing
205(2)
Geometric Tolerancing
206(1)
Coordinate Measuring Machines
207(4)
Coordinate Measuring Machines Classification
208(2)
Factors Affecting Machine Performance
210(1)
Summary
211(4)
Reliability and Maintainability Engineering
215(18)
Introduction and Scope
215(1)
Body of Knowledge
216(1)
Reliability Definition and Estimation
216(3)
Failure Models
219(5)
Constant Failure Rate
221(1)
Decreasing or Increasing Failure Rate
222(2)
Mean Time to Failure and Mean Residual Life
224(1)
System Reliability
224(2)
Series Systems
224(1)
Parallel Systems
225(1)
Reliability Failure Analysis and Reporting
226(1)
Identification of Potential Failure Modes
226(3)
Environmental Stress Screening (ESS)
227(1)
Fault Tree Analysis (FTA)
227(2)
Maintainability
229(2)
Summary
231(2)
Failure Modes and Effects Analysis
233(21)
Introduction and Scope
233(1)
Body of Knowledge
233(1)
Understanding FMEA
233(21)
Selecting a Standard for FMEA
233(1)
Planning for an FMEA
234(1)
Establishing a Single Point of Responsibility
234(1)
FMEA Team Members
235(1)
Inputs to an FMEA
235(1)
FMEA and Other Quality Tools
235(1)
Outputs from an FMEA
236(1)
Basic Steps in an FMEA
236(1)
Quantifying the Risk Associated with Each Potential Failure
237(1)
Risk Components
237(1)
Taking Action Based on an RPN
237(1)
Do We Rate the Failure Mode or the Cause?
238(1)
FMEAs Encountered by Quality Engineers
238(1)
Design and Process FMEA
239(9)
A Final Word on Taking Corrective Action
248(1)
Assessing Criticality
248(1)
A Caution about Using FMEA
249(1)
Design and Process FMEA Examples
249(5)
Part IV Problem Solving
Problem Solving and Quality Improvement
254(15)
Introduction and Scope
254(1)
Body of Knowledge
255(1)
Approaches
255(2)
Kaizen
255(1)
PDSA
256(1)
Reengineering
257(1)
Problem-Solving Method
257(7)
Identify the Opportunity (Problem Identification)
258(1)
Analyze the Current Process
259(2)
Develop the Optimal Solution(s) (Correction)
261(1)
Implement Changes
262(1)
Study the Results
262(1)
Standardize the Solution (Recurrence Control)
262(2)
Plan for the Future (Effectiveness Assessment)
264(1)
Preventive Action
264(1)
Opportunities for Improvement
264(1)
Training
264(1)
Error Proofing
264(1)
Verifying the Effectiveness of Preventive Actions
265(1)
Overcoming Barriers to Quality Improvement
265(2)
Lack of Time to Devote to Quality Initiatives
266(1)
Poor Interorganizational Communication
266(1)
Lack of Real Employee Empowerment
266(1)
Lack of Employee Trust in Senior Management
266(1)
Politics and Turf Issues
266(1)
Lack of a Formalized Strategic Plan for Change
266(1)
Lack of Strong Motivation
267(1)
View of Quality Program As a Quick Fix
267(1)
Drive for Short-Term Financial Results
267(1)
Lack of Leadership
267(1)
Lack of Customer Focus
267(1)
Lack of a Companywide Definition of Quality
267(1)
Summary
267(2)
Traditional Problem-Solving Tools
269(15)
Introduction and Scope
269(1)
Body of Knowledge
270(1)
Understanding Graphical Tools
270(10)
Flowchart
270(1)
Check Sheet
271(2)
Histogram
273(1)
Pareto Diagram
274(2)
Cause-and-Effect Diagrams
276(2)
Control Charts
278(1)
Run Charts
278(2)
Scatter Diagrams
280(1)
Summary
280(4)
Problem Solving and Quality Improvement---Management and Planning Tools
284(28)
Introduction and Scope
284(1)
Body of Knowledge
285(1)
Quality Tools
286(22)
Affinity Diagram
286(1)
Relationship Diagram (Interrelationship Digraph)
287(1)
Tree Diagrams
288(3)
Process Decision Program Charts (PDPC)
291(2)
Matrix Diagrams
293(3)
Prioritization Matrices
296(2)
Activity Network Diagramming (Activity Network Diagram and Arrow Diagram)
298(4)
Process Maps
302(2)
Process Value Chain (PVC) Diagrams
304(1)
Benchmarking
305(3)
Summary
308(4)
Part V Statistical Tools
Introduction to Probability and Statistics
312(20)
Introduction and Scope
312(1)
Body of Knowledge
312(1)
Descriptive Statistics---Graphical Methods for Data Analysis
312(5)
Frequency Distribution, Dot Plot, and Histogram
312(2)
Cumulative Frequency Distribution
314(1)
Stem and Leaf Diagram, Percentiles, and the Box Plot
314(3)
Measurement Scales
317(4)
Automatic Gauging
317(1)
Types of Data
317(1)
Data Accuracy and Integrity
317(1)
Data Coding
318(1)
Normal Probability Plots
318(1)
Weibull Plots
319(2)
Introduction to Probability
321(5)
The Central Limit Theorem
325(1)
Sampling Distribution of the Mean
326(1)
Probability Distributions
326(4)
Discrete Distributions
326(4)
Summary
330(2)
Statistical Decision Making
332(28)
Introduction and Scope
332(1)
Body of Knowledge
332(1)
Point Estimates and Confidence Intervals
332(3)
Assumptions and Robustness
334(1)
Statistical Tolerance Intervals
335(1)
Hypothesis Tests
336(6)
Analysis of Variance (ANOVA)
342(10)
One-Way ANOVA
342(3)
Two-Way ANOVA
345(6)
Enumerative Studies
351(1)
Analytical Studies
351(1)
Statistical versus Practical Significance
351(1)
Modeling Relationships between Variables
352(4)
Linear Regression
352(3)
Multiple Linear Regression
355(1)
Inferences in Regression and Correlation
355(1)
Error Types and Power
356(2)
Operating Characteristic (OC) Curves
356(2)
Summary
358(2)
Design of Experiments
360(31)
Introduction and Scope
360(1)
Body of Knowledge
361(1)
Preliminary Considerations
361(1)
The Problem of Variability: How to Reduce the Noise
361(1)
The Problem of Scarce Resources: Getting the Most for the Money
361(1)
The Problem of Management Support
362(1)
The Strategy of Experimentation
362(1)
Stage 1: Process Analysis
363(7)
Choosing Which Factors to Study
363(1)
Choosing the Responses
364(2)
Deciding Whether to Aggregate Raw Responses
366(1)
Deciding Whether the Experiment Should Be Run in Blocks
367(1)
Choosing the Best Form for the Mathematical Model
368(2)
Stage 2: Choosing a Design
370(4)
Design Types
372(2)
Stage 3: Performing the Runs
374(1)
Stage 4: Analyzing Experimental Data
375(7)
Coefficients and ANOVA Tables
378(3)
Advantages of Simpler Models
381(1)
Stage 5: Drawing Conclusions from Your Results
382(2)
Contrasts
382(1)
Predictions
382(2)
Evaluating the Impact
384(1)
Creating a Loss Function (Utility Function)
384(1)
Optimization Using the Loss Function and Model
384(1)
Stage 6: Follow-Up and Future Plans
384(1)
Verification Studies
385(1)
Classification of Designs
385(6)
Single-Factor Designs
385(1)
Multiple-Factor Designs
386(1)
Main Effects
387(2)
Summary
389(2)
Statistical Process Control
391(25)
Introduction and Scope
391(1)
Body of Knowledge
391(1)
Management's Role and Responsibilities
391(2)
Process Analysis
393(1)
General Theory of Control Charts
393(22)
Preparatory Decisions
395(1)
Variable Charts
396(5)
Attribute Charts
401(12)
Process Capability Indices
413(1)
Process Performance Indices
414(1)
Summary
415(1)
Implementation of Six Sigma
416(63)
Six Sigma Needs Assessment
417(2)
Six Sigma As a Business Strategy
419(1)
Implementing Six Sigma
420(2)
Option 1: Implement a Six Sigma Program or Initiative
420(1)
Option 2: Create a Six Sigma Infrastructure
421(1)
The Metrics of Six Sigma
422(4)
Sustaining and Communicating Change
426(1)
Summary
427(3)
Part VI Appendices
I. The ASQ Code of Ethics
430(2)
II. American Society for Quality Certified Quality Engineer (CQE) Body of Knowledge
432(8)
III. The Malcolm Baldrige National Quality Award
440(2)
IV. The ANSI/ISO/ASQ Q9000 Series
442(3)
V. Control Limit Formulas
445(1)
VI. Constants for Control Charts
446(1)
VII. Statistical Tolerance Factors for at Least 99 Percent of the Population (``k-Values'')
447(1)
VIII. Standard Normal Distribution
448(2)
IX. Areas under Standard Normal Curve to the Right of Selected Z-Values
450(2)
X. F Distribution F.90
452(3)
XI. F Distribution F.95
455(3)
XII. F Distribution F.99
458(3)
XIII. Binomial Distribution
461(2)
XIV. Chi-Square Distribution
463(2)
XV. Exponential Distribution
465(2)
XVI. Poisson Distribution
467(2)
XVII. Median Ranks
469(2)
XVIII. Normal Scores
471(2)
XIX. Values of t Distribution
473(2)
XX. Selected National and International Quality System Standards
475(4)
Glossary 479(14)
Index 493

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