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9780131855243

Design for Six SIGMA for Green Belts and Champions : Applications for Service Operations--Foundations, Tools, DMADV, Cases, and Certification

by ; ;
  • ISBN13:

    9780131855243

  • ISBN10:

    0131855247

  • Edition: 1st
  • Format: Hardcover w/CD
  • Copyright: 2006-01-01
  • Publisher: FT Press
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Summary

Most Six Sigma books are targeted at manufacturers, and don't reflect the unique implementation challenges service companies face. This book fills the gap. Using its practical, start-to-finish guidance, service company teams can utilize Six Sigma to drive powerful bottom-line benefits. The authors systematically introduce the management foundation required to implement Six Sigma successfully. Readers will discover how to lead teams to achieve results in shorter time frames, and present projects to executives concisely and effectively. This book thoroughly covers every stage of the DMADV Design for Six SigmaR Management improvement model: Define, Measure, Analyse, Design, and Verify/Validate. Outputs from Minitab, JMP, and SigmaFlow are illustrated and provided on CD-ROM and through downloadable date sets and templates.

Table of Contents

Acknowledgments and Thanks xx
About the Authors xxi
Preface xxiii
PART I: DESIGN FOR SIX SIGMA BASICS
1(74)
Foundations of Six Sigma Management
3(28)
Successful Applications of Six Sigma Management
4(1)
Key Ingredients for Success with Six Sigma Management
5(1)
Benefits of Six Sigma Management
6(1)
Fundamentals of Improving a Product, Service, or Process
7(16)
Process Basics (Voice of the Process [VoP])
7(8)
Definitions of Six Sigma Management (Relationship Between VoC and VoP)
15(7)
The DMAIC Model for Improvement
22(1)
Fundamentals of Inventing--Innovating a Product, Service, or Process
23(5)
Invention
23(1)
Innovation
24(2)
Design for Six Sigma (DFSS)
26(1)
Fundamental Principles of ``Design for Six Sigma''
26(1)
Leverage from Professional Design Methods
27(1)
The DMADV Model for Invention and Innovation
27(1)
What Is New about Six Sigma Management?
28(1)
Six Sigma in Non-Manufacturing Industries
28(3)
Summary
29(1)
References
30(1)
Six Sigma Roles, Responsibilities, and Terminology
31(18)
Roles and Responsibilities in Six Sigma Management
32(6)
Senior Executive
32(1)
Executive Committee
33(1)
Champion
33(1)
Process Owner
34(1)
Master Black Belt
34(1)
Black Belt
35(1)
Green Belt
36(2)
Technical Terminology of Six Sigma Management
38(11)
Summary
47(1)
References
48(1)
Macro Model of Six Sigma Management (Dashboards)
49(26)
Beginning Six Sigma Management
50(4)
Starting Six Sigma Management
50(1)
Energy for Transformation to Six Sigma Management
50(1)
Initiating Action for Six Sigma Management
51(1)
Retaining Outside Counsel
51(1)
Window of Opportunity Opens
52(1)
Develop a Six Sigma Transformation Plan
52(2)
Window of Opportunity Begins to Close
54(1)
Implement the Transformation Plan
54(1)
Benefits of a Dashboard
54(1)
Structure of a Dashboard
55(1)
Components of a Dashboard
55(6)
Mission Statement
55(1)
Key Objectives (as Measured by Key Indicators)
56(1)
Key Indicators
57(2)
Flag Diagrams
59(1)
Tasks and Projects
60(1)
Example of a Dashboard
61(4)
Another Example of a Dashboard
65(3)
Managing with a Dashboard
68(1)
Project Prioritization for a Dashboard
68(3)
Management Decides if a Project Team Is Necessary
71(1)
Types of Six Sigma Projects
71(4)
Summary
72(1)
References
72(3)
PART II: THE DESIGN FOR SIX SIGMA (DFSS) MODEL
75(208)
Define Phase
77(30)
Steps of the Define Phase
78(1)
Inputs to the Define Phase
78(1)
Develop the Business Case
79(2)
Prepare the Opportunity Statement
81(1)
Develop the Initial Project Objective
82(1)
Develop the Project Scope
82(3)
Develop the Project Plan
85(1)
Develop the Document Control System
86(1)
Assess the Benefits of the Six Sigma Project
87(2)
Taxonomy 1: Cost Reduction Versus Cost Avoidance
87(1)
Taxonomy 2: Tangible Costs Versus Intangible Costs
88(1)
Dormitory Example
88(1)
Assess the Risks to the Project's Success
89(12)
Technical Reasons for Risk
89(1)
Human Factors Affecting Risk
90(1)
Team Dynamics Affecting Risk
90(1)
Planning Issues Affecting Risk
90(1)
Business Sources of Risk
91(1)
Organizational and Political Sources of Risk
91(1)
External Sources of Risk
92(1)
Identify Risk Elements
92(3)
Reduce Risk with Risk Reduction Plans
95(6)
Activate the DFSS Development Team (DT)
101(1)
Team Formation
101(1)
Ground Rules
101(1)
Finalize the Project Objective
102(1)
Conduct Tollgate Review
103(1)
Define Phase Tollgate Review Check Sheet
103(1)
Key Outputs of the Define Phase
104(3)
Summary
104(1)
References
105(2)
Measure Phase
107(50)
Steps of the Measure Phase
108(1)
Inputs to the Measure Phase
109(1)
Market Segmentation
109(1)
Definition
109(1)
Finding Cognitive Images with Kano Surveys
110(2)
Convert Cognitive Images into CTQs with Quality Function Deployment
112(20)
Introduction
112(2)
Room 1 in the House of Quality
114(2)
Room 2 in the House of Quality
116(1)
Room 3 in the House of Quality
117(3)
Room 4 in the House of Quality
120(2)
Room 5 in the House of Quality
122(1)
Room 6 in the House of Quality
123(3)
Room 7 in the House of Quality
126(6)
Select Final Set of CTQs
132(1)
Develop and Validate a Measurement System for the CTQs
132(17)
Construct Operational Definitions for CTQs
132(4)
Establish the Validity of the Measurement System for Each CTQ
136(13)
Develop a Design Scorecard
149(1)
Review Intellectual Property Issues
150(1)
Plan to Manage the Risk
151(1)
Revise the Project Objective, if Necessary
151(1)
Update the Multi-Generational Product Plan (MGPP)
151(1)
Measure Phase Tollgate Review (Check Sheet)
152(1)
Outputs of the Measure Phase
153(4)
Summary
154(1)
References
154(1)
Appendix 5.1 Using Minitab for Gage R&R Studies
155(1)
Generating a Gage Run Chart
155(1)
Generating a Gage R&R Study (Crossed)
155(1)
Appendix 5.2 Using JMP for Gage R&R Studies
156(1)
Analyze Phase
157(50)
Steps of the Analyze Phase
158(1)
Inputs of the Analyze Phase
159(1)
Generate High-Level Design Concepts for Critical Parameters
160(7)
Effort Level Needed to Create Design Concepts
160(1)
Breaking Down CTQs into CTPs
161(2)
Using Thinking Habits and Tools for Generating Design Concepts
163(3)
Using TRIZ for Generating Design Concepts
166(1)
Benchmarking for Generating Creative Design Concepts
166(1)
Investigate Alternative Design Concepts for Each Critical Parameter
167(6)
Reducing the Set of Potential Design Concepts
167(6)
Create a Limited Set of Potential High-Level Design Concepts
173(6)
Assess the Risks of the ``Best'' Design Concept
179(5)
Sources of Risk
179(1)
Purpose of Risk Management
180(1)
Method 1: Identifying Risk Elements Using FMEA
180(1)
Method 2: Identifying Risk Elements Using Hazard Analysis
180(2)
Method 3: Identifying Risk Elements Using a Risk Abatement Plan
182(2)
Optimize the Total Life Cycle Cost (TLCC) of the Design
184(2)
Definition of Total Life Cycle Cost (TLCC)
184(1)
Relationship Between Design and Total Life Cycle Cost
184(1)
Using TLCC to Reduce the Set of Potential Designs
185(1)
Develop a Process Model for the Best Design
186(17)
Definition of a Model
186(1)
Types of Models
186(1)
Benefits of a Model
187(1)
Steps for Developing a Process Model of a Design
187(1)
Static Process Models of a Design
188(6)
Dynamic Process Models of a Design
194(9)
Transfer High-Level Design to Process Owner with Design Scorecards
203(1)
Conduct Analyze Phase Tollgate Review (Check Sheet)
204(2)
Outputs from the Analyze Phase
206(1)
Summary
206(1)
References
206(1)
Design Phase
207(42)
Steps of the Design Phase
209(1)
Inputs of the Design Phase
209(1)
Constructing a Detailed Design
209(3)
Developing Elements of the Detailed Design
209(1)
Identifying the Specific Details for CTPs with QFD
210(1)
QFD Methodology Flow
210(2)
Develop Detailed CTPs for CTQs and High-Level CTPs
212(11)
Language of CTQs and CTPs
212(1)
Flow-Up CTPs
213(4)
Flow-Down CTQs
217(6)
Create a Comprehensive Set of Detailed CTPs
223(1)
Operationally Define Each Detailed CTP
224(1)
Validate the Measurement System for Each Detailed CTP
224(1)
Establish Baseline Capabilities for Each CTQ and CTP
224(18)
Background
224(1)
Collect and Analyze Baseline Data for Appropriate Detailed CTPs
224(5)
Estimate Process Capability for Appropriate Detailed CTPs
229(13)
Conduct a Capacity Analysis
242(1)
Perform a FMEA of the Detailed CTPs
242(1)
Constructing Detailed Design Scorecards
243(1)
Performing Accounting Analysis
244(2)
Prepare a Control and Verification Plan
246(1)
Conduct Design Phase Tollgate Review (Check Sheet)
247(1)
Outputs of the Design Phase
248(1)
Summary
248(1)
References
248(1)
Verify/Validate Phase
249(34)
Steps of the Verify/Validate Phase
250(1)
Inputs to the Verify/Validate Phase
251(1)
Build a Prototype of the Detailed Design
251(4)
Definition of Prototyping
251(1)
Traditional Prototyping Methods for Products (Tool and Die)
251(1)
Rapid Prototyping Methods for Products
252(1)
Rapid Prototyping Methods Useful for Services
253(2)
General Rules for Rapid Prototyping of Services
255(1)
Pilot Test the Prototype of the Detailed Design
255(4)
Purpose of a Pilot Test
255(1)
Objectives of a Pilot Test
256(2)
Develop a Plan for Pilot Testing the Prototype
258(1)
Hold Pilot Release Readiness Review
259(1)
Conduct Pilot Test of the Prototype of the Detailed Design
259(1)
Conduct Design Reviews Using Design Scorecards
259(3)
Decide Whether or Not to Scale-Up Design
262(1)
Build and Operate Full-Scale Process
262(1)
Decide if the Full-Scale Process Is Meeting Business Objectives
263(1)
Financial Objectives
264(1)
Process Objectives
264(1)
Customer Objectives
264(1)
Employee Objectives
264(1)
Document the Full-Scale Process
264(2)
ISO 9000 and ISO 14000
265(1)
Generic Table of Contents of an ISO Standard
265(1)
Transition Full-Scale Process to Owners with a Control Plan
266(1)
Conduct Verify/Validate Phase Tollgate Review (Check Sheet)
267(1)
Close the DMADV Project
267(1)
Transfer the Lessons Learned from the Project
268(13)
Introduction
268(1)
Perceived Attributes of Innovations
268(1)
Adopter Categories
269(1)
Innovation-Decision Process
270(1)
Rate of Adoption
271(1)
Demand and Supply Factors
271(1)
Organizational Factors
272(1)
An Alternative Measure for Rate of Adoption
273(1)
A Demand-Based Diffusion Strategy
273(5)
A Demand- and Supply-Based Diffusion Strategy
278(2)
Consider the Diffusion of a Design Throughout the Entire DMADV Model
280(1)
Outputs of the Verify/Validate Phase
281(2)
Summary
281(1)
References
281(2)
PART III: DESIGN FOR SIX SIGMA TOOLS AND METHODS
283(278)
Basics of Statistical Studies
285(12)
Statistics and Design for Six Sigma
286(1)
Enumerative and Analytic Studies
287(1)
Distinguishing Enumerative and Analytic Studies
287(1)
Types of Variables
287(1)
Operational Definitions
288(9)
Summary
289(1)
References
289(1)
Appendix 9.1 Introduction to Minitab Version 14
290(1)
Minitab Overview
290(1)
Using Minitab Worksheets
290(1)
Opening and Saving Worksheets and Other Components
290(3)
Printing Worksheets, Graphs, and Sessions
293(1)
Appendix 9.2 Introduction to JMP Version 6
294(1)
JMP Overview
294(1)
Using JMP Data Tables
294(3)
Design of Experiments
297(54)
Design of Experiments: Background and Rationale
298(1)
Two-Factor Factorial Designs
299(12)
2k Factorial Designs
311(16)
Fractional Factorial Designs
327(24)
Choosing the Treatment Combinations
328(14)
Summary
342(1)
References
342(2)
Appendix 10.1 Using Minitab for the Design of Experiments
344(1)
Two-Way ANOVA
344(1)
Main Effects Plot
344(1)
Interaction Plot
345(1)
Factorial Design
345(2)
Fractional Factorial Design
347(1)
Appendix 10.2 Using JMP for the Design of Experiments
348(1)
Two-Way ANOVA
348(1)
Factorial Design
349(1)
Fractional Factorial Design
349(2)
Multiple Regression
351(42)
Review of Simple Linear Regression
352(4)
Introduction
352(4)
Developing the Multiple Regression Model
356(5)
Interpreting the Regression Coefficients
358(2)
Predicting the Dependent Variable Y
360(1)
Coefficient of Multiple Determination and the Overall F Test
361(1)
Coefficients of Multiple Determination
361(1)
Test for the Significance of the Overall Multiple Regression Model
361(1)
Residual Analysis for the Multiple Regression Model
362(2)
Inferences Concerning the Population Regression Coefficients
364(2)
Tests of Hypothesis
364(1)
Confidence Interval Estimation
365(1)
Using Dummy Variables and Interaction Terms in Regression Models
366(4)
Collinearity
370(2)
Model Building
372(8)
The Stepwise Regression Approach to Model Building
374(1)
The Best-Subsets Approach to Model Building
375(5)
Model Validation
380(1)
Logistic Regression
380(13)
Summary
385(1)
References
385(2)
Appendix 11.1 Using Minitab for Multiple Regression
387(1)
Generating a Multiple Regression Equation
387(1)
Using Minitab for a Three-Dimensional Plot
387(1)
Using Minitab for Dummy Variables and Interactions
388(1)
Using Minitab for Stepwise Regression and Best-Subsets Regression
388(1)
Using Minitab for Logistic Regression
389(1)
Appendix 11.2 Using JMP for Multiple Regression
390(1)
Generating a Multiple Regression Equation
390(1)
Using JMP for Dummy Variables
390(1)
Using JMP for Interactions
391(1)
Using JMP for Stepwise Regression and All Possible Regressions
391(1)
Using JMP for Logistic Regression
392(1)
Additional Tools and Methods
393(24)
Brainstorming
394(4)
Procedure
394(1)
Rules
395(1)
Example
396(2)
Affinity Diagram
398(4)
Construction
398(1)
Example
399(3)
Cause-and-Effect Diagram and Matrix
402(2)
Construction
402(1)
Constructing a Cause-and-Effect Diagram Using an Affinity Diagram
403(1)
Check Sheets
404(2)
Attribute Check Sheet
404(1)
Measurement Check Sheet
405(1)
Defect Location Check Sheet
405(1)
Stratification
406(5)
Stratification and Pareto Diagrams
406(2)
Stratification and Cause-and-Effect (C&E) Diagrams
408(1)
Stratification with Pareto Diagrams and Cause-and-Effect Diagrams
408(2)
Stratification with Control Charts, Pareto Diagrams, and Cause-and-Effect Diagrams
410(1)
Other Combinations of Tools for Stratification
410(1)
Gantt Chart
411(6)
Construction
411(1)
Summary
412(1)
References
413(1)
Appendix 12.1 Using Minitab for the Cause-and-Effect Diagram
414(2)
Appendix 12.2 Using JMP for the Cause-and-Effect Diagram
416(1)
Discrete Event Simulation Models
417(40)
What Is Simulation?
418(1)
Applications of Simulation
418(2)
Why Use Simulation Modeling?
420(1)
Advantages of Simulation
421(1)
Precautions When Using Simulation
421(1)
Pitfalls of Simulation Models
422(1)
Simulation Terminology
422(7)
Definition of a System
423(6)
How Discrete Event Simulation Works
429(9)
Basics
429(9)
Simulation Project Management
438(6)
Project Definition
439(5)
Optimizing a Process Using Design of Experiments from Simulations
444(3)
Introduction
444(1)
Setting Up a 2k Full Factorial Experiment
444(1)
Analyzing 2k Full Factorial Experiments
445(2)
Service Industry Application Using the SigmaFlow Software Package
447(10)
Introduction
447(1)
A Service Industry Application
448(1)
Assumptions
449(1)
Performance Measures
449(1)
Building the Model
450(1)
Defining the Data for Individual Objects
451(1)
Setting the Simulation Clock
452(1)
Running the Model
453(1)
Collecting Results
453(2)
Results Summary
455(1)
Observations
456(1)
Summary
456(1)
References
456(1)
Articulating the Voice of the Stakeholder
457(52)
Market Segmentation
458(9)
Definition
458(1)
Segmentation Criteria
458(1)
Segmentation Variables
458(9)
Kano Surveys
467(42)
Introduction
467(1)
Level A Survey---Improved or Less Expensive Designs
468(1)
Level B Survey---Major New Features of Existing Designs
468(1)
Stage One: Collect ``Voice of the User'' (VoU) and ``Voice of the Customer'' (VoU) Data
469(4)
Stage Two: Analyze ``Voice of the User'' and ``Voice of the Customer'' Data
473(2)
Stage Three: Develop New Features
475(10)
Stage Four: Evolve Strategies for New Features
485(19)
Level C Survey---Entirely New Designs
504(1)
Stage One: Collect ``Voice of the People'' (VoP) Data
505(1)
Stage Two: Analyze Circumstantial Issues
505(1)
Stage Three: Develop Features of New Product
506(1)
Stage Four: Decide Strategic Themes
506(1)
Summary
507(1)
References
507(2)
Enhancing Creativity to Develop Alternative Designs
509(22)
Using de Bono's Thinking Habits and Tools to Generate Alternative Design Concepts
510(5)
Summary
514(1)
Using TRIZ to Generate Alternative Design Concepts
515(14)
Introduction
515(1)
40 Inventive Principles of TRIZ with Service Examples
515(8)
39 Contradictions of TRIZ
523(6)
Conclusion
529(1)
Using Benchmarking to Generate Alternative Design Concepts
529(2)
Summary
530(1)
References
530(1)
Appendix 15.1 Full Contradictions Matrix
530(1)
Professional Interpersonal Behavior Skills, Team Behavior Skills, and Six Sigma Management
531(30)
Professional Interpersonal Behavior Skills
532(16)
Assertive Behavior
532(9)
``I'' Messages
541(3)
Creating ``No Lose'' or ``Win-Win'' Solutions to Conflicts
544(4)
Professional Team Behavior Skills
548(6)
Psychology of Teams
548(1)
Stages in the Life of Teams
548(1)
Individual Versus Team Decision Making
549(1)
Building a Successful Six Sigma Project Team
549(1)
Characteristics of a Team Leader
550(1)
Guidelines for Reacting to Team Problems
550(1)
Creative Techniques to Resolve Team Problems
551(3)
Product Development Team Basics
554(7)
Concurrent Engineering
554(1)
Principles
554(1)
Benefits
555(1)
Model of Concurrent Engineering
556(1)
Specific Issues of Product Development Teams (PD Teams)
556(1)
Management Reviews of Six Sigma Team Projects
557(1)
Variation Analysis
558(1)
Summary
559(1)
References
560(1)
PART IV: DESIGN FOR SIX SIGMA CASE STUDY
561(70)
Six Sigma DMADV Case Study
563(68)
Background
564(1)
Define Phase
564(10)
Measure Phase
574(16)
Select Final Set of CTQs
586(1)
Develop a Design Scorecard
587(2)
Review Intellectual Property Issues
589(1)
Analyze Phase
590(16)
Introduction
590(1)
Part 1: Design Generation (Generating Design Concepts for Critical Parameters)
590(3)
Part 2: Design Analysis (Alternative Design Concepts for Critical Parameters)
593(2)
Part 3: Risk Analysis (Assessing Risk of the ``Best'' Design Concept)
595(10)
Optimizing the Total Life Cycle Cost (TLCC) of the Design
605(1)
Part 4: Design Model (Develop a High-Level Model for the Design)
606(1)
Design Phase
606(16)
Identify the Detailed CTPs Using QFD
606(6)
Create Operational Definition for Each CTQ and CTP
612(2)
Estimate the Risks of the Detailed Design
614(1)
Develop a Detailed Design Scorecard for the Detailed Design
614(1)
Conduct an Accounting Analysis of the Detailed Design
615(1)
Mistake-Proof the Detailed Design
616(1)
Conduct a Tollgate Review of the Design Phase
617(2)
Prepare a Control and Verification Plan
619(3)
Verify/Validate Phase
622(9)
Build a Prototype of the Detailed Design
622(3)
Pilot Test the Prototype of the Detailed Design
625(1)
Conduct Design Reviews Using Design Scorecards
625(3)
Decide Whether or Not to Scale-Up Design
628(1)
Build and Operate Full-Scale Process
628(1)
Decide if Full-Scale Process Is Meeting Business Objectives
628(1)
Document the Full-Scale Process
628(1)
Transition Full-Scale Process to Owners with a Control Plan
628(1)
Close the DMADV Project
629(1)
Transfer the Lessons Learned from the Project
629(1)
Summary
629(2)
PART V: DESIGN FOR SIX SIGMA CERTIFICATION
631(32)
DFSS Champion and Green Belt Certification at the University of Miami
633(30)
Certification at the University of Miami
634(1)
DFSS Certification Examinations
635(1)
Costs for DFSS Certification Examinations
635(1)
Application Process
636(1)
Sample DFSS Certification Examination Review Questions with Answers
636(26)
DFSS Green Belt Project
662(1)
Summary
662(1)
Appendix A Summation Notation 663(4)
Appendix B Statistical Tables 667(14)
Appendix C Documentation of Data Files 681(2)
Index 683

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The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

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Excerpts

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