Design for six sigma: a roadmap for product development
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York [u.a.]
McGraw-Hill
2009
|
| Edition: | 2. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XX, 741 S. graph. Darst. |
| ISBN: | 9780071547673 |
Staff View
MARC
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| 020 | |a 9780071547673 |c alk. paper |9 978-0-07-154767-3 | ||
| 035 | |a (OCoLC)225873618 | ||
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| 245 | 1 | 0 | |a Design for six sigma |b a roadmap for product development |c Kai Yang ; Basem S. El-Haik |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a New York [u.a.] |b McGraw-Hill |c 2009 | |
| 300 | |a XX, 741 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 7 | |a Innovation |2 stw | |
| 650 | 7 | |a Kwaliteitszorg |2 gtt | |
| 650 | 7 | |a Productontwikkeling |2 gtt | |
| 650 | 7 | |a Produktdesign |2 stw | |
| 650 | 7 | |a Produktqualität |2 stw | |
| 650 | 7 | |a Projektmanagement |2 stw | |
| 650 | 4 | |a Qualité - Contrôle - Méthodes statistiques | |
| 650 | 7 | |a Qualitätsmanagement |2 stw | |
| 650 | 4 | |a Six Sigma | |
| 650 | 7 | |a Wetenschappelijke technieken |2 gtt | |
| 650 | 4 | |a Wissenschaftliches Arbeiten | |
| 650 | 4 | |a Quality control |x Statistical methods | |
| 650 | 4 | |a Experimental design | |
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Record in the Search Index
| _version_ | 1804138060032507904 |
|---|---|
| adam_text | Contents
Preface
xiii
Preface
to the First Edition
xv
Chapter
1.
Quality Concepts
1
1.1
What Is Quality?
1
1.2
Quality Assurance and Product/Service Life Cycle
3
1.3
Development of Quality Methods
β
1.4
Business Excellence, Whole Quality, and Other Metrics
in Business Operations
17
1.5
Summary
20
Chapter
2.
Six Sigma and Lean Fundamentals
21
2.1
What Is Six Sigma?
21
2.2
Process: The Basic Unit for the Six Sigma Improvement Project
22
2.3
Process Capability and Six Sigma
28
2.4
Overview of Six Sigma Process Improvement
34
2.5
Lean Operation Principles
39
2.6
Process Mapping, Value Stream Mapping, and Process Management
45
2.7
Six Sigma Goes Upstream: Design for Six Sigma (OFSS)
54
2.8
Summary
55
Chapter
3.
Product Development Process and Design for Six Sigma
57
3.1
Introduction
57
3.2
More on the Product Development Process
59
3.3
Lean Principles in Product Development
71
3.4
Lean Product Development Approaches
74
3.5
What Is Design for Six Sigma?
86
3.6
Why Design for Six Sigma ?
89
3.7
Design for Six Sigma (DFSS) Phases
91
3.8
More on Design Process and Design Vulnerabilities
95
3.9
Differences between Six Sigma and DFSS
97
3.10
What Kinds of Problems Can Be Solved by DFSS?
99
3.11
Design for a Six Sigma (DFSS) Company
101
vii
viii Contents
3.12 Features
of a
Sound DFSS
Strategy
101
Appendix: Historical Development in Design
103
Chapter
4.
Design for Six Sigma Deployment
107
4.1
Introduction
107
4.2
Black Belt-DFSSTeam: Cultural Change
107
4.3
DFSS Deployment Prerequisites
110
4.4
DFSS Deployment Strategy
112
4.5
DFSS Deployment Strategy Goals
115
4.6
Six Sigma Project Financial Management
122
4.7
DFSS Training
123
4.8
Elements Critical to Sustain DFSS Deployment
123
4.9
DFSS Sustainability Factors
124
Chapterã.
Design for Six Sigma Project Algorithm
129
5.1
Introduction
129
5.2
Form a Synergistic Design Team (DFSS Algorithm Step
1 ) 132
5.3
Determine Customer Expectations (DFSS Algorithm Step
2) 133
5.4
Understand Functional Requirements Evolution
(DFSS Algorithm Step
3) 147
5.5
Generate Concepts (DFSS Algorithm Step
4) 148
5.6
Select the Best Concept (DFSS Algorithm Step
5) 152
5.7
Finalize the Physical Structure of the Selected
Concept (DFSS Algorithm Step
6) 153
5.8
Initiate Design Scorecards and Transfer Function
Development (DFSS Algorithm Step
7) 157
5.9
Assess Risk Using DFMEA/PFMEA (DFSS Algorithm Step
8) 159
5.10
Transfer Function Optimization (DFSS Algorithm Step
9) 167
5.11
Design for X (DFSS Algorithm Step
10) 175
5.12
Tolerance Design andTolerancing (DFSS Algorithm Step
11) 176
5.13
Pilot and Prototyping Design (DFSS Algorithm Step
12) 178
5.14
Validate Deign (DFSS Algorithm Step
13) 179
5.15
Launch Mass Production (DFSS Algorithm Step
14) 180
5.16
Project Risk Management
181
5.17
Other DFSS Roadmaps
183
Chapter
6.
DFSS Transfer Function and Scorecards
185
6.1
Introduction
185
6.2
Design Analysis
186
6.3
DFSS Design Synthesis
186
6.4
Design Scorecards and Transfer Function Development
195
Chapter
7.
Quality Function Deployment (QFD)
213
7.1
Introduction
213
7.2
History of QFD
215
7.3
QFD Benefits, Assumptions, and Realities
215
7.4
QFD Methodology Overview
216
7.5
Kano
Model of Quality
224
Contents ix
7.6
The Four Phases of QFD
225
7.7
QFD Analysis
226
7.8
QFD Example
226
7.9
Summary
236
Chapter
8.
Axiomatic Design
237
8.1
Introduction
237
8.2
Why Axiomatic Design Is Needed
238
8.3
Design Axioms
239
8.4
The Independence Axiom (Axiom
1) 240
8.5
Coupling Measures
252
8.6
The Implications of Axiom
2 262
8.7
Case Study: Axiomatic Design of the Water Faucet
269
8.8
Summary
272
Appendix 8A: Axiomatic Design Theorems and Corollaries
273
Appendix 8B: Historical Development of Axiomatic Design
278
Chapter
9.
Theory of Inventive Problem Solving
(TRIZ)
281
9.1
Introduction
281
9.2
TRIZ
Foundations
285
9.3
TRIZ
Problem-Solving Process
295
9.4
Physical Contradiction Resolution/Separation Principles
298
9.5
Technical Contradiction Elimination—Inventive Principles
307
9.6
Functional Improvement Methods/TRIZ Standard Solutions
314
9.7
Complexity Reduction/Trimming
330
9.8
S-Curve Analysis of Technical Systems
331
9.9
Evolution of Technological Systems
333
9.10
Physical, Chemical, and Geometric Effects Database
339
9.11
Comparison of Axiomatic Design and
TRIZ
339
Appendix: Contradiction Table of Inventive Principles
347
Chapter
10.
Design for X
353
10.1
Introduction
353
10.2
Design for Manufacture and Assembly (DFMA)
356
10.3
Design for Reliability (DFR)
365
10.4
Design for Maintainability
367
10.5
Design for Serviceability
368
10.6
Design for Environmentality
378
10.7
Design for Life-Cycle Cost (LCC): Activity-Based
Costing with Uncertainty
380
10.8
Summary
385
Chapter
11.
Failure Mode-Effect Analysis
387
11.1
Introduction
387
11.2
FMEA Fundamentals
390
11.3
Design FMEA (DFMEA)
396
11.4
Process FMEA (PFMEA)
406
11.5
Quality Systems and Control Plans
410
x
Contents
Chapter
12.
Fundamentals of Experimental Design
413
12.1
Introduction to Design of Experiments (DOE)
413
12.2
Factorial Experiment 418
12.3
Two-Level Full Factorial Designs
426
12.4
Fractional Two-Level Factorial Design
437
12.5
Three-Level Full Factorial Design
446
12.6
Incomplete Factorial Experiments
450
12.7
Summary
468
Chapter
13.
Taguchi s Orthogonal Array Experiment
469
13.1
Taguchi s Orthogonal Arrays
469
13.2
Taguchi Experimental Design
472
13.3
Special Techniques
476
13.4
Taguchi Experiment Data Analysis
483
13.5
Summary
491
Appendix: Selected Orthogonal Arrays
491
Chapter
14.
Design Optimization: Taguchi s Robust Parameter Design
499
14.1
Introduction
499
14.2
Loss Function and Parameter Design
500
14.3
Loss Function and Signal-to-Nolse Ratio
508
14.4
Noise Factors and Inner-Outer Arrays
516
14.5
Parameter Design tor Smaller-the-Better Characteristics
521
14.6
Parameter Design for Nominal-the-Best Characteristics
525
14.7
Parameter Design for Larger-the-Better Characteristics
528
Chapter
15.
Design Optimization: Advanced Taguchi
Robust Parameter Design
533
15.1
Introduction
533
15.2
Design Synthesis and Technical Systems
535
15.3
Parameter Design for Dynamic Characteristics
546
15.4
Functional Quality and Dynamic S/N Ratio
565
15.5
Robust Technology Development
568
Chapter
16.
Tolerance Design
571
16.1
Introduction
571
16.2
Worst-Case Tolerance
576
16.3
Statistical Tolerance
580
16.4
Cost-Based Optimal Tolerance
587
16.5
Taguchi s Lose Function and Safety Tolerance Design
592
16.6
Taguchi s Tolerance Design Experiment
599
16.7
Computer-Aided Robust Parameter and Tolerance Design
602
Chapter
17.
Response Surface Methodology
611
17.1
Introduction
611
17.2
Search and Identify the Region That Contains the Optimal Solution
615
17.3
Response Surface Experimental Designs
622
17.4
Response Surface Experimental Data Analysis for Single Response
628
Contents xl
17.5
Response
Surface
Experimental Data Analysis for
Multiple Responses
632
17.6
Mixture Experiments
642
Chapter
18.
Design Validation
665
18.1
Introduction
665
18.2
Design Analysis and Testing
670
18.3
Prototypes
682
18.4
Process and Production Validation
689
18.5
DFSS Validation and Measurement
697
Appendix: Glossary of Terms
702
Acronyms
705
References
709
Index
717
|
| adam_txt |
Contents
Preface
xiii
Preface
to the First Edition
xv
Chapter
1.
Quality Concepts
1
1.1
What Is Quality?
1
1.2
Quality Assurance and Product/Service Life Cycle
3
1.3
Development of Quality Methods
β
1.4
Business Excellence, Whole Quality, and Other Metrics
in Business Operations
17
1.5
Summary
20
Chapter
2.
Six Sigma and Lean Fundamentals
21
2.1
What Is Six Sigma?
21
2.2
Process: The Basic Unit for the Six Sigma Improvement Project
22
2.3
Process Capability and Six Sigma
28
2.4
Overview of Six Sigma Process Improvement
34
2.5
Lean Operation Principles
39
2.6
Process Mapping, Value Stream Mapping, and Process Management
45
2.7
Six Sigma Goes Upstream: Design for Six Sigma (OFSS)
54
2.8
Summary
55
Chapter
3.
Product Development Process and Design for Six Sigma
57
3.1
Introduction
57
3.2
More on the Product Development Process
59
3.3
Lean Principles in Product Development
71
3.4
Lean Product Development Approaches
74
3.5
What Is Design for Six Sigma?
86
3.6
Why "Design for Six Sigma"?
89
3.7
Design for Six Sigma (DFSS) Phases
91
3.8
More on Design Process and Design Vulnerabilities
95
3.9
Differences between Six Sigma and DFSS
97
3.10
What Kinds of Problems Can Be Solved by DFSS?
99
3.11
Design for a Six Sigma (DFSS) Company
101
vii
viii Contents
3.12 Features
of a
Sound DFSS
Strategy
101
Appendix: Historical Development in Design
103
Chapter
4.
Design for Six Sigma Deployment
107
4.1
Introduction
107
4.2
Black Belt-DFSSTeam: Cultural Change
107
4.3
DFSS Deployment Prerequisites
110
4.4
DFSS Deployment Strategy
112
4.5
DFSS Deployment Strategy Goals
115
4.6
Six Sigma Project Financial Management
122
4.7
DFSS Training
123
4.8
Elements Critical to Sustain DFSS Deployment
123
4.9
DFSS Sustainability Factors
124
Chapterã.
Design for Six Sigma Project Algorithm
129
5.1
Introduction
129
5.2
Form a Synergistic Design Team (DFSS Algorithm Step
1 ) 132
5.3
Determine Customer Expectations (DFSS Algorithm Step
2) 133
5.4
Understand Functional Requirements Evolution
(DFSS Algorithm Step
3) 147
5.5
Generate Concepts (DFSS Algorithm Step
4) 148
5.6
Select the Best Concept (DFSS Algorithm Step
5) 152
5.7
Finalize the Physical Structure of the Selected
Concept (DFSS Algorithm Step
6) 153
5.8
Initiate Design Scorecards and Transfer Function
Development (DFSS Algorithm Step
7) 157
5.9
Assess Risk Using DFMEA/PFMEA (DFSS Algorithm Step
8) 159
5.10
Transfer Function Optimization (DFSS Algorithm Step
9) 167
5.11
Design for X (DFSS Algorithm Step
10) 175
5.12
Tolerance Design andTolerancing (DFSS Algorithm Step
11) 176
5.13
Pilot and Prototyping Design (DFSS Algorithm Step
12) 178
5.14
Validate Deign (DFSS Algorithm Step
13) 179
5.15
Launch Mass Production (DFSS Algorithm Step
14) 180
5.16
Project Risk Management
181
5.17
Other DFSS Roadmaps
183
Chapter
6.
DFSS Transfer Function and Scorecards
185
6.1
Introduction
185
6.2
Design Analysis
186
6.3
DFSS Design Synthesis
186
6.4
Design Scorecards and Transfer Function Development
195
Chapter
7.
Quality Function Deployment (QFD)
213
7.1
Introduction
213
7.2
History of QFD
215
7.3
QFD Benefits, Assumptions, and Realities
215
7.4
QFD Methodology Overview
216
7.5
Kano
Model of Quality
224
Contents ix
7.6
The Four Phases of QFD
225
7.7
QFD Analysis
226
7.8
QFD Example
226
7.9
Summary
236
Chapter
8.
Axiomatic Design
237
8.1
Introduction
237
8.2
Why Axiomatic Design Is Needed
238
8.3
Design Axioms
239
8.4
The Independence Axiom (Axiom
1) 240
8.5
Coupling Measures
252
8.6
The Implications of Axiom
2 262
8.7
Case Study: Axiomatic Design of the Water Faucet
269
8.8
Summary
272
Appendix 8A: Axiomatic Design Theorems and Corollaries
273
Appendix 8B: Historical Development of Axiomatic Design
278
Chapter
9.
Theory of Inventive Problem Solving
(TRIZ)
281
9.1
Introduction
281
9.2
TRIZ
Foundations
285
9.3
TRIZ
Problem-Solving Process
295
9.4
Physical Contradiction Resolution/Separation Principles
298
9.5
Technical Contradiction Elimination—Inventive Principles
307
9.6
Functional Improvement Methods/TRIZ Standard Solutions
314
9.7
Complexity Reduction/Trimming
330
9.8
S-Curve Analysis of Technical Systems
331
9.9
Evolution of Technological Systems
333
9.10
Physical, Chemical, and Geometric Effects Database
339
9.11
Comparison of Axiomatic Design and
TRIZ
339
Appendix: Contradiction Table of Inventive Principles
347
Chapter
10.
Design for X
353
10.1
Introduction
353
10.2
Design for Manufacture and Assembly (DFMA)
356
10.3
Design for Reliability (DFR)
365
10.4
Design for Maintainability
367
10.5
Design for Serviceability
368
10.6
Design for Environmentality
378
10.7
Design for Life-Cycle Cost (LCC): Activity-Based
Costing with Uncertainty
380
10.8
Summary
385
Chapter
11.
Failure Mode-Effect Analysis
387
11.1
Introduction
387
11.2
FMEA Fundamentals
390
11.3
Design FMEA (DFMEA)
396
11.4
Process FMEA (PFMEA)
406
11.5
Quality Systems and Control Plans
410
x
Contents
Chapter
12.
Fundamentals of Experimental Design
413
12.1
Introduction to Design of Experiments (DOE)
413
12.2
Factorial Experiment 418
12.3
Two-Level Full Factorial Designs
426
12.4
Fractional Two-Level Factorial Design
437
12.5
Three-Level Full Factorial Design
446
12.6
Incomplete Factorial Experiments
450
12.7
Summary
468
Chapter
13.
Taguchi's Orthogonal Array Experiment
469
13.1
Taguchi's Orthogonal Arrays
469
13.2
Taguchi Experimental Design
472
13.3
Special Techniques
476
13.4
Taguchi Experiment Data Analysis
483
13.5
Summary
491
Appendix: Selected Orthogonal Arrays
491
Chapter
14.
Design Optimization: Taguchi's Robust Parameter Design
499
14.1
Introduction
499
14.2
Loss Function and Parameter Design
500
14.3
Loss Function and Signal-to-Nolse Ratio
508
14.4
Noise Factors and Inner-Outer Arrays
516
14.5
Parameter Design tor Smaller-the-Better Characteristics
521
14.6
Parameter Design for Nominal-the-Best Characteristics
525
14.7
Parameter Design for Larger-the-Better Characteristics
528
Chapter
15.
Design Optimization: Advanced Taguchi
Robust Parameter Design
533
15.1
Introduction
533
15.2
Design Synthesis and Technical Systems
535
15.3
Parameter Design for Dynamic Characteristics
546
15.4
Functional Quality and Dynamic S/N Ratio
565
15.5
Robust Technology Development
568
Chapter
16.
Tolerance Design
571
16.1
Introduction
571
16.2
Worst-Case Tolerance
576
16.3
Statistical Tolerance
580
16.4
Cost-Based Optimal Tolerance
587
16.5
Taguchi's Lose Function and Safety Tolerance Design
592
16.6
Taguchi's Tolerance Design Experiment
599
16.7
Computer-Aided Robust Parameter and Tolerance Design
602
Chapter
17.
Response Surface Methodology
611
17.1
Introduction
611
17.2
Search and Identify the Region That Contains the Optimal Solution
615
17.3
Response Surface Experimental Designs
622
17.4
Response Surface Experimental Data Analysis for Single Response
628
Contents xl
17.5
Response
Surface
Experimental Data Analysis for
Multiple Responses
632
17.6
Mixture Experiments
642
Chapter
18.
Design Validation
665
18.1
Introduction
665
18.2
Design Analysis and Testing
670
18.3
Prototypes
682
18.4
Process and Production Validation
689
18.5
DFSS Validation and Measurement
697
Appendix: Glossary of Terms
702
Acronyms
705
References
709
Index
717 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Yang, Kai |
| author_facet | Yang, Kai |
| author_role | aut |
| author_sort | Yang, Kai |
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| dewey-ones | 658 - General management |
| dewey-raw | 658.5/62 |
| dewey-search | 658.5/62 |
| dewey-sort | 3658.5 262 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| edition | 2. ed. |
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| id | DE-604.BV035098629 |
| illustrated | Illustrated |
| index_date | 2024-07-02T22:13:21Z |
| indexdate | 2024-07-09T21:22:10Z |
| institution | BVB |
| isbn | 9780071547673 |
| language | English |
| lccn | 2008027098 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016766642 |
| oclc_num | 225873618 |
| open_access_boolean | |
| owner | DE-703 DE-1050 DE-860 |
| owner_facet | DE-703 DE-1050 DE-860 |
| physical | XX, 741 S. graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | McGraw-Hill |
| record_format | marc |
| spelling | Yang, Kai Verfasser aut Design for six sigma a roadmap for product development Kai Yang ; Basem S. El-Haik 2. ed. New York [u.a.] McGraw-Hill 2009 XX, 741 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Innovation stw Kwaliteitszorg gtt Productontwikkeling gtt Produktdesign stw Produktqualität stw Projektmanagement stw Qualité - Contrôle - Méthodes statistiques Qualitätsmanagement stw Six Sigma Wetenschappelijke technieken gtt Wissenschaftliches Arbeiten Quality control Statistical methods Experimental design Statistische Prozesslenkung (DE-588)4249675-5 gnd rswk-swf Qualitätsmanagement (DE-588)4219057-5 gnd rswk-swf Prozessmanagement (DE-588)4353072-2 gnd rswk-swf Qualitätsmanagement (DE-588)4219057-5 s Prozessmanagement (DE-588)4353072-2 s Statistische Prozesslenkung (DE-588)4249675-5 s DE-604 El-Haik, Basem Sonstige oth Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016766642&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Yang, Kai Design for six sigma a roadmap for product development Innovation stw Kwaliteitszorg gtt Productontwikkeling gtt Produktdesign stw Produktqualität stw Projektmanagement stw Qualité - Contrôle - Méthodes statistiques Qualitätsmanagement stw Six Sigma Wetenschappelijke technieken gtt Wissenschaftliches Arbeiten Quality control Statistical methods Experimental design Statistische Prozesslenkung (DE-588)4249675-5 gnd Qualitätsmanagement (DE-588)4219057-5 gnd Prozessmanagement (DE-588)4353072-2 gnd |
| subject_GND | (DE-588)4249675-5 (DE-588)4219057-5 (DE-588)4353072-2 |
| title | Design for six sigma a roadmap for product development |
| title_auth | Design for six sigma a roadmap for product development |
| title_exact_search | Design for six sigma a roadmap for product development |
| title_exact_search_txtP | Design for six sigma a roadmap for product development |
| title_full | Design for six sigma a roadmap for product development Kai Yang ; Basem S. El-Haik |
| title_fullStr | Design for six sigma a roadmap for product development Kai Yang ; Basem S. El-Haik |
| title_full_unstemmed | Design for six sigma a roadmap for product development Kai Yang ; Basem S. El-Haik |
| title_short | Design for six sigma |
| title_sort | design for six sigma a roadmap for product development |
| title_sub | a roadmap for product development |
| topic | Innovation stw Kwaliteitszorg gtt Productontwikkeling gtt Produktdesign stw Produktqualität stw Projektmanagement stw Qualité - Contrôle - Méthodes statistiques Qualitätsmanagement stw Six Sigma Wetenschappelijke technieken gtt Wissenschaftliches Arbeiten Quality control Statistical methods Experimental design Statistische Prozesslenkung (DE-588)4249675-5 gnd Qualitätsmanagement (DE-588)4219057-5 gnd Prozessmanagement (DE-588)4353072-2 gnd |
| topic_facet | Innovation Kwaliteitszorg Productontwikkeling Produktdesign Produktqualität Projektmanagement Qualité - Contrôle - Méthodes statistiques Qualitätsmanagement Six Sigma Wetenschappelijke technieken Wissenschaftliches Arbeiten Quality control Statistical methods Experimental design Statistische Prozesslenkung Prozessmanagement |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016766642&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT yangkai designforsixsigmaaroadmapforproductdevelopment AT elhaikbasem designforsixsigmaaroadmapforproductdevelopment |