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Tables of Contents for Six Sigma and Beyond
Chapter/Section Title
Page #
Page Count
Part I Understanding Adult Training and Instructional Design
1
92
Introduction
3
1
What Is Diffusion?
3
1
Characteristics of Innovations
4
1
The Process of Six Sigma Diffusion in the Organization
5
1
Reference
6
1
Understanding the Learner and Instruction
7
18
Expectations for Participants
7
1
Prepare for Successful Learning
7
1
Prepare for Each Training Course
8
1
Assume an Active Role in the Learning Environment
9
1
Understanding Adult Learners
10
4
To Start With, We Must Recognize That Adults Are Interested In
10
4
Principles of Instructional Design
14
1
Stages or Phases of Design
14
6
Conditions of Learning
15
5
Desirable Sequence Characteristics Associated with Five Types of Learning Outcome
20
4
References
24
1
Front-End Analysis
25
16
Introduction
25
1
Problem-Solving Front-End Analysis
26
5
Task Analysis
31
2
Steps in Task Analysis
33
6
References
39
1
Selected Bibliography
39
2
Design of Instruction
41
10
Preparation
41
1
Steps in Design of Instruction
41
7
References
48
1
Selected Bibliography
48
3
Development of Material and Evaluation
51
12
Steps in Development of Materials
51
1
Planning
51
1
Implementation
52
3
Evaluation: Pilot Testing
55
2
Steps in Pilot Testing
57
2
Planning
57
2
Implementation
59
2
References
61
1
Selected Bibliography
61
2
Delivery of Material and Evaluation
63
18
Steps in Delivery of Materials
63
3
Planning
63
1
Preparation
63
3
Implementation
66
3
On-the-Job Application
69
1
Steps in On-the-Job Application
69
2
Planning
69
1
Preparation
69
2
Implementation
71
1
Before Training
71
1
After Training
72
1
Evaluation: Post-Instruction
73
1
Steps in Post-Instructional Evaluation
74
3
Planning
74
3
Implementation
77
2
References
79
1
Selected Bibliography
79
2
Contract Training
81
12
Front-End Analysis
81
1
Task Analysis
82
1
Design of Instruction
83
1
Design of Job Aids
84
1
Development of Materials
85
3
Evaluation: Pilot Testing
88
1
Delivery of Materials
88
2
On-the-Job Application
90
1
Evaluation: Post-Instruction
90
2
References
92
1
Selected Bibliography
92
1
Part II Training for the DMAIC Model
93
312
Six Sigma for Executives
95
22
Instructional Objectives --- Executives
95
7
Recognize Customer Focus
95
1
Business Metrics
95
1
Six Sigma Fundamentals
96
2
Define Nature of Variables
98
1
Opportunities for Defects
98
1
CTX Tree
98
1
Process Mapping
98
1
Process Baselines
99
1
Six Sigma Projects
99
1
Six Sigma Deployment
99
1
Measure
99
1
Scales of Measure
99
1
Data Collection
99
1
Measurement Error
99
1
Statistical Distributions
100
1
Static Statistics
100
1
Dynamic Statistics
100
1
Analyze Six Sigma Statistics
100
1
Process Metrics
101
1
Diagnostic Tools
101
1
Simulation Tools
101
1
Statistical Hypotheses
101
1
Continuous Decision Tools
101
1
Discrete Decision Tools
101
1
Improve Experiment Design Tools
101
1
Robust Design Tools
102
1
Empirical Modeling Tools
102
1
Tolerance Tools
102
1
Risk Analysis Tools
102
1
DFSS Principles
102
1
Control Precontrol Tools
102
1
Continuous SPC Tools
102
1
Discrete SPC Tools
102
1
Outline of Actual Executive Training Content --- 1 Day
102
1
Maximize Customer Value
103
1
Minimize Process Costs
103
1
Six Sigma Leadership
103
2
The Six Sigma DMAIC Model
103
1
How Six Sigma Fits
103
1
Leadership Prerequisites
104
1
Deployment Infrastructure
104
1
Sustaining the Gains
104
1
Project Review Guidelines
104
1
Alternative Six Sigma Executive Training --- 2 Days
105
12
Measurement
105
1
Maximizing the Customer Supplier Relationship
106
1
The Classical vs. the Six Sigma Perspective of Yield
106
1
Traditional Yield View
106
1
The Two Types of Defect Models
106
1
Process Characterization
106
1
The Focus of Six Sigma --- Customer Satisfaction and Organizational Profitability
106
1
Definition of a Problem
107
1
Roles and Responsibilities
107
1
Roles of a Champion
107
1
Roles of the Master Black Belt
107
1
Roles of the Black Belt
108
1
There Are Five Actions That Have Proven Critical to Continued Six Sigma Breakthrough
109
1
Six Sigma Breakthrough
109
1
Define
110
1
Purpose
110
1
Questions to Be Answered
110
1
A Typical Checklist for the Define Phase
110
1
Tools
111
1
Measure
111
1
Purpose
111
1
Questions to Be Answered
111
1
Typical Checklist for the Measure Phase
112
1
Tools
112
1
Analyze
112
1
Purpose
112
1
Questions to Be Answered
112
1
Typical Checklist for the Analyze Phase
113
1
Tools
113
1
Improve
113
1
Purpose
113
1
Questions to Be Answered
113
1
Typical Checklist for the Improve Phase
114
1
Tools
114
1
Control
114
1
Purpose
114
1
Questions to Be Answered
114
1
Typical Checklist for the Control Phase
115
1
Tools
115
1
Six Sigma --- The Initiative
115
1
Process --- Systematic Approach to Reducing Defects That Affect What Is Important to the Customer
115
1
Six Sigma the Practical Sense
116
1
Foundation of the Tools
116
1
Getting to Six Sigma
116
1
The Standard Deviation
116
1
Six Sigma for Champions
117
64
Curriculum Objectives for Champion Training
118
10
Recognize
118
1
Customer Focus
118
1
Business Metrics
118
1
Six Sigma Fundamentals
118
2
Define
120
1
Nature of Variables
120
1
Opportunities for Defects
120
1
CTX Tree
121
1
Process Mapping
121
1
Process Baselines
121
1
Six Sigma Projects
121
1
Six Sigma Deployment
121
1
Measure
122
1
Scales of Measure
122
1
Data Collection
122
1
Measurement Error
122
1
Statistical Distributions
122
1
Static Statistics
122
1
Dynamic Statistics
123
1
Analyze
123
1
Six Sigma Statistics
123
1
Process Metrics
124
1
Diagnostic Tools
124
1
Simulation Tools
124
1
Statistical Hypotheses
125
1
Continuous Decision Tools
125
1
Discrete Decision Tools
126
1
Improve
126
1
Experiment Design Tools
126
1
Robust Design Tools
127
1
Empirical Modeling Tools
127
1
Tolerance Tools
127
1
Risk Analysis Tools
127
1
DFSS Principles
127
1
Control
128
1
Precontrol Tools
128
1
Continuous SPC Tools
128
1
Discrete SPC Tools
128
1
Six Sigma Project Champion Transactional (General Business and Service --- Nonmanufacturing) Training
128
12
Six Sigma Breakthrough Goal
129
1
Six Sigma Goal
129
1
Comparison between Three Sigma and Six Sigma Quality
129
1
Short Historical Background
129
1
Overview of the Big Picture
130
2
Identify Customer
132
1
The DMAIC Process
133
2
Detailed Model Explanation
135
1
Performance Metrics Reporting
135
1
Establish Customer Focus
135
1
Define Variables: Key Questions Are
136
1
The Focus of Six Sigma
136
1
Process Optimization
136
1
Process Baseline: Key Questions Are
136
1
Process Mapping
137
1
Cause and Effect
138
1
The Approach to C&E Matrix
138
1
Links of C&E Matrix to Other Tools
138
1
Basic Statistics
138
1
Converting DPM to a Z Equivalent
139
1
Basic Graphs
139
1
Analyze
140
1
Improve
140
1
Control
140
1
Six Sigma Project Champion --- Technical Training
140
13
Six Sigma Breakthrough Goal
141
1
Six Sigma Goal
141
1
Comparison between Three Sigma and Six Sigma Quality
142
1
Short Historical Background
142
1
Overview of the Big Picture
142
3
Identify Customer
145
1
The DMAIC Process
146
2
Detailed Model Explanation
148
1
Performance Metrics Reporting
148
1
Establish Customer Focus
148
1
Define Variables: Key Questions Are
148
1
The Focus of Six Sigma
149
1
Process Optimization
149
1
Process Baseline
149
1
Process Mapping
150
1
Cause and Effect
151
1
The Approach to C&E Matrix
151
1
Links of C&E Matrix to Other Tools
151
1
Basic Statistics
151
1
Converting DPM to a Z Equivalent
152
1
Basic Graphs
152
1
Analyze
152
1
Improve
153
1
Control
153
1
Six Sigma Project Champion Training --- Manufacturing
153
1
Exploring Our Values
153
2
Short Overview
153
2
Six Sigma Manufacturing Champion Training --- Getting Started
155
10
Tips on Success for Six Sigma Manufacturing Champion
165
1
Champion Issues
166
3
Project Report Out
169
5
Project Presentation Milestone Requirements --- Week 1 Training
174
1
Presentation Goals
174
1
Presentation Notes
175
1
Project Presentation --- Week 2
175
1
Presentation Goals
175
1
Presentation Notes
175
1
Project Presentation --- Week 3
175
1
Presentation Goals
175
1
Presentation Notes
176
1
Project Presentation - Week 4
176
1
Presentation Goals
176
1
Presentation Notes
176
1
Typical Champion's Questions for the Project Review
177
2
In the Define Phase
177
1
Have You
177
1
For Each Individual Project, Have You:
177
1
In the Measure Phase
177
1
Typical Questions at This Phase Should Be:
177
1
In the Analyze Phase
178
1
Typical Questions in This Phase Should Be:
178
1
In the Improve Phase
178
1
Typical Questions in This Phase Should Be:
178
1
In the Control Phase
179
1
Typical Questions in This Phase Should Be:
179
1
Reference
179
1
Selected Bibliography
179
2
Six Sigma for Master Black Belts
181
18
Instructional Objectives --- Shogun (Master Black Belt)
181
18
Recognize
181
1
Customer Focus
181
1
Business Metrics
181
1
Six Sigma Fundamentals
182
2
Define
184
1
Nature of Variables
184
1
Opportunities for Defects
184
1
CTX Tree
184
1
Process Mapping
184
1
Process Baselines
185
1
Six Sigma Projects
185
1
Six Sigma Deployment
185
1
Measure
186
1
Scales of Measure
186
1
Data Collection
186
1
Measurement Error
186
1
Statistical Distributions
186
1
Static Statistics
187
1
Dynamic Statistics
187
1
Analyze
188
1
Six Sigma Statistics
188
1
Process Metrics
188
1
Diagnostic Tools
189
1
Simulation Tools
189
1
Statistical Hypotheses
189
1
Continuous Decision Tools
190
1
Discrete Decision Tools
191
1
Improve
192
1
Experiment Design Tools
192
2
Robust Design Tools
194
1
Empirical Modeling Tools
194
1
Tolerance Tools
194
1
Risk Analysis Tools
195
1
DFSS Principles
195
1
Control
195
1
Precontrol Tools
195
1
Continuous SPC Tools
196
1
Discrete SPC Tools
196
1
Training
196
3
Six Sigma for Black Belts
199
124
Instructional Objectives --- Black Belt
199
15
Recognize
199
1
Customer Focus
199
1
Business Metrics
200
1
Six Sigma Fundamentals
200
2
Define
202
1
Nature of Variables
202
1
Opportunities for Defects
202
1
CTX Tree
202
1
Process Mapping
203
1
Process Baselines
203
1
Six Sigma Projects
203
1
Six Sigma Deployment
203
1
Measure
204
1
Scales of Measure
204
1
Data Collection
204
1
Measurement Error
204
1
Statistical Distributions
204
1
Static Statistics
205
1
Dynamic Statistics
205
1
Analyze
206
1
Six Sigma Statistics
206
1
Process Metrics
206
1
Diagnostic Tools
207
1
Simulation Tools
207
1
Statistical Hypotheses
207
1
Continuous Decision Tools
208
1
Discrete Decision Tools
209
1
Improve
210
1
Experiment Design Tools
210
2
Robust Design Tools
212
1
Empirical Modeling Tools
212
1
Tolerance Tools
212
1
Risk Analysis Tools
213
1
DFSS Principles
213
1
Control
213
1
Precontrol Tools
213
1
Continuous SPC Tools
214
1
Discrete SPC Tools
214
1
Content of Black Belt Training --- Outline
214
1
Transactional Training - 4-Week Training
215
1
Week 1
215
11
Week 2
226
2
Key Questions from Week 1
226
2
Week 3
228
5
Week 4
233
4
Technical Training --- 4 Weeks
237
1
Week 1
237
15
Week 2
252
5
Hypothesis Testing Introduction
256
1
Parameters vs. Statistics
256
1
Formulating Hypotheses
257
1
Week 3
257
6
Week 4
263
18
Fractional Factorials
263
14
Control Plans
277
4
Manufacturing Training - 4 Weeks
281
1
Week 1
281
15
Week 2
296
3
Hypothesis Testing Introduction
299
1
Week 3
299
4
DOE Introduction
300
3
Week 4
303
20
Fractional Factorials
304
7
SPC Flowchart
311
7
Control Plans
318
5
Six Sigma for Green Belts
323
70
Instructional Objectives --- Green Belt
323
14
Recognize
323
1
Customer Focus
323
1
Business Metrics
323
1
Six Sigma Fundamentals
324
2
Define
326
1
Nature of Variables
326
1
Opportunities for Defects
326
1
CTX Tree
326
1
Process Mapping
326
1
Process Baselines
327
1
Six Sigma Projects
327
1
Six Sigma Deployment
327
1
Measure
327
1
Scales of Measure
327
1
Data Collection
328
1
Measurement Error
328
1
Statistical Distributions
328
1
Static Statistics
328
1
Dynamic Statistics
329
1
Analyze
329
1
Six Sigma Statistics
329
1
Process Metrics
330
1
Diagnostic Tools
331
1
Simulation Tools
331
1
Statistical Hypotheses
331
1
Continuous Decision Tools
332
1
Discrete Decision Tools
333
1
Improve
334
1
Experiment Design Tools
334
1
Robust Design Tools
335
1
Empirical Modeling Tools
336
1
Tolerance Tools
336
1
Risk Analysis Tools
336
1
DFSS Principles
336
1
Control
336
1
Precontrol Tools
336
1
Continuous SPC Tools
336
1
Discrete SPC Tools
337
1
Six Sigma Transactional Green Belt Training
337
25
The DMAIC Model in Detail
341
1
The Define Phase
341
1
Who Is the Customer?
341
1
Measurement Phase
341
2
Measurement Systems Analysis
343
1
The Analysis Phase
344
1
The Improvement Phase
345
1
The Control Phase
345
3
Selecting Statistical Techniques
348
3
Hypothesis Testing Introduction
351
1
Parameters vs. Statistics
351
1
Introduction to Design of Experiments
352
1
Screening Designs
353
4
Control Plans
357
5
Six Sigma Green Belt Training --- Technical
362
6
Short Historical Background
362
2
The DMAIC Process
364
1
The DMAIC Model in Detail
364
1
Define
364
1
Measure
365
2
Analyze
367
1
Improve
367
1
Control
368
1
Six Sigma Green Belt Training --- Manufacturing
368
23
Phases of Process Improvement
371
1
The Define Phase
371
1
The Measurement Phase
372
1
Measurement Systems Analysis
373
1
The Analysis Phase
374
1
The Improvement Phase
375
1
The Control Phase
375
3
Selecting Statistical Techniques
378
3
Hypothesis Testing Introduction
381
1
Parameters vs. Statistics
381
1
Introduction to Design of Experiments
382
1
Screening Designs
383
4
Control Plans
387
4
Reference
391
2
Six Sigma for General Orientation
393
12
Instructional Objectives --- General
393
5
Recognize
393
1
Customer Focus
393
1
Business Metrics
394
1
Six Sigma Fundamentals
394
1
Define
395
1
Nature of Variables
395
1
Opportunities for Defects
395
1
CTX Tree
395
1
Process Mapping
395
1
Process Baselines
396
1
Six Sigma Projects
396
1
Six Sigma Deployment
396
1
Measure
396
1
Scales of Measure
396
1
Data Collection
396
1
Measurement Error
396
1
Statistical Distributions
396
1
Static Statistics
397
1
Dynamic Statistics
397
1
Analyze
397
1
Six Sigma Statistics
397
1
Process Metrics
397
1
Diagnostic Tools
397
1
Simulation Tools
397
1
Statistical Hypotheses
397
1
Continuous Decision Tools
397
1
Discrete Decision Tools
398
1
Improve
398
1
Experiment Design Tools
398
1
Robust Design Tools
398
1
Empirical Modeling Tools
398
1
Tolerance Tools
398
1
Risk Analysis Tools
398
1
DFSS Principles
398
1
Control
398
1
Precontrol Tools
398
1
Continuous SPC Tools
399
1
Discrete SPC Tools
399
1
Outline of Content
399
1
Process Improvement
399
1
Define
400
1
Measure
400
1
Measurement
400
1
Variation
401
1
Sampling
401
1
Simple Calculations and Conversions
401
1
Analyze
402
3
Data Analysis
402
1
Cause-and-Effect Analysis
402
1
Root Causes Verification
402
1
Determine the Opportunity
402
1
Improve
402
3
Part III Training for the DCOV Model
405
60
DFSS Training
407
48
The Actual Training for DFSS
407
1
Executive DFSS Training
408
8
DFSS Champion Training
416
1
DFSS -- 2-Day Program
416
1
DFSS Champion Training Outline --- 4 Days
417
4
Project Member and BB DFSS Training
421
33
Week 1
422
7
DCOV Model in Detail
429
1
The Define Phase
429
2
The Characterize Phase
431
2
Ideal Function and P-Diagram
433
1
Identifying Technical Metrics
434
4
Week 2
438
1
The Optimize Phase
438
8
Design for Producibility
446
1
Deliverables/Checklist for the Optimize Phase
446
1
The Verify Phase
447
1
Step 1: Update/Develop Test Plan Details
447
2
Step 2: Conduct Test
449
1
Step 3: Analyze/Assess Results
450
1
Step 4: Does the Design Pass Requirements?
450
1
Step 5: Develop Failure Resolution Plan
451
1
Step 6: Record Actions on Design Verification Plan and Record (DVP&R)
452
1
Step 7: Complete DVP&R
453
1
Selected Bibliography
454
1
Six Sigma Certification
455
10
The Need for Certification
457
2
General Comments Regarding Certification as It Relates to Six Sigma
459
2
Conclusion
461
2
References
463
2
Epilog
465
2
Glossary
467
68
Selected Bibliography
535
4
Index for Volume VII
539
8
Index for Volume I
547
18
Index for Volume II
565
6
Index for Volume III
571
8
Index for Volume IV
579
12
Index for Volume V
591
14
Index for Volume VI
605