Design of experiments using the Taguchi approach: 16 steps to product and process improvement
Accompanying CD-ROM contains ... "Qualitek-4: automatic design & analysis of Taguchi experiments (full featured working model - demo); all the examples, exercise solutions, and case studies in the book."--CD-ROM label.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York
Wiley
c2001
|
| Schlagworte: | |
| Online-Zugang: | Contributor biographical information Publisher description Table of Contents Inhaltsverzeichnis |
| Zusammenfassung: | Accompanying CD-ROM contains ... "Qualitek-4: automatic design & analysis of Taguchi experiments (full featured working model - demo); all the examples, exercise solutions, and case studies in the book."--CD-ROM label. |
| Beschreibung: | "A Wiley-Interscience publication." Includes bibliographical references (p. 526-527) and index |
| Beschreibung: | xv, 538 p. ill. 24 cm. + 1 computer laser disc (4 3/4 in). |
| Format: | System requirements for accompanying computer disc: Windows 3.1 or higher. |
| ISBN: | 0471361011 |
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| 245 | 1 | 0 | |a Design of experiments using the Taguchi approach |b 16 steps to product and process improvement |c Ranjit K. Roy |
| 264 | 1 | |a New York |b Wiley |c c2001 | |
| 300 | |a xv, 538 p. |b ill. |c 24 cm. + |e 1 computer laser disc (4 3/4 in). | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a "A Wiley-Interscience publication." | ||
| 500 | |a Includes bibliographical references (p. 526-527) and index | ||
| 520 | 3 | |a Accompanying CD-ROM contains ... "Qualitek-4: automatic design & analysis of Taguchi experiments (full featured working model - demo); all the examples, exercise solutions, and case studies in the book."--CD-ROM label. | |
| 538 | |a System requirements for accompanying computer disc: Windows 3.1 or higher. | ||
| 650 | 7 | |a Experimenteel ontwerp |2 gtt | |
| 650 | 7 | |a Kwaliteitscontrole |2 gtt | |
| 650 | 7 | |a Procesbeheersing |2 gtt | |
| 650 | 7 | |a Productontwikkeling |2 gtt | |
| 650 | 7 | |a Statistische methoden |2 gtt | |
| 650 | 4 | |a aQuality control |a xStatistical methods | |
| 650 | 4 | |a aTaguchi methods (Quality control) | |
| 650 | 4 | |a aExperimental design | |
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Datensatz im Suchindex
| _version_ | 1804136287596183552 |
|---|---|
| adam_text | Preface xi
Acknowledgments xiii
Symbols and Abbreviations xv
Introduction 1
DOE Application Skills 1
Quick Step Summary 3
Step 1. Design of Experiments and the Taguchi Approach 8
Overview of Design of Experiments and the Taguchi Approach 8
What Is Design of Experiments? 9
Who Is Taguchi? 9
Why Is Taguchi s Name Associated with DOE Today? 10
What s New? 10
New Philosophy and Attitude Toward Building Quality 10
New Way to Measure Cost of Quality 14
New Disciplines 15
Simpler and Standardized Experiment Design Technique 18
What Is DOE All About? 19
Where Should DOE Be Applied? 21
What Types of Industries Can Benefit from DOE? 21
Who Should Benefit Most from DOE? 21
Summary 22
Exercises 23
Exercise Answers 24
Step 2. Definition and Measurement of Quality 25
Performance Evaluation and Measurement 25
Process View of System under Study 26
Types of Results 29
Evaluations for Comparison 30
Setting Up Qualitek 4 Software in Your Computer 33
Copying Example Experiment Files to the QT4 Program Directory 37
v
Running the QT4 Program 37
Comparison of Individual Performances 40
Comparison of Group Performances 40
Measuring Variations with Mean Squared Deviation 41
Using QT4 for MSD Calculation 44
Results Comprising Multiple Criteria of Evaluation 50
OEC Formulation 53
Rationale for the OEC Formula 54
Calculating OEC Using QT4 55
Things to Remember When Using QT4 OEC Capabilities 57
Summary 59
Review Questions 59
Exercises 60
Exercise Answers 62
Step 3. Common Experiments and Methods of Analysis 65
Why Experiment? 65
Language of Experiments 66
Investigating One Factor at a Time 70
Finding the Desirable Factor Level from Multilevel Experiments 74
Investigating Several Factors One at a Time 75
Lack of Reproducibility 78
Assessing the Status of Performance from Multiple Sample Tests 79
Summary 90
Review Questions 90
Exercises 91
Exercise Answers 93
Step 4. Experimental Design Using Orthogonal Arrays 95
Experiments with Multiple Factors 95
Experiments That Look At All Possible Factor Combinations 96
Shortcuts to Design of Experiments 99
Properties of Orthogonal Arrays 99
Orthogonal Properties of Arrays 100
Common Orthogonal Arrays and Their Special Properties 102
Using Orthogonal Arrays to Design Experiments 103
Experiment Planning: First Step in DOE Application 110
Completing Experiments as Planned 115
Case Study 4.1: Part Strength Study 115
Summary 133
Review Questions 133
Exercises 133
Exercise Answers 134
Step 5. Experimental Design with Two Level Factors Only 136
Two Ways to Use an L 4 Orthogonal Array 136
Four Ways to Use an L 8 Orthogonal Array 143
Four Ways to Use an L 12 Orthogonal Array 157
Four Ways to Use an L 16 Orthogonal Array 159
Sixteen Ways to Use an L 32 Orthogonal Array 161
Improved Reproducibility with Orthogonal Array Experiments 162
Analytical Verification of Orthogonal Array Experiments 165
Summary 168
Review Questions 168
Exercises 168
Exercise Answers 171
Step 6. Experimental Design With Three and Four Level Factors 172
Three Ways to Use an L 9 Orthogonal Array 172
Over Six Ways to Use an L 18 Orthogonal Array 179
Six Ways to Use an L 27 Orthogonal Array 186
Four Ways to Use a Modified L 16 Orthogonal Array 193
Nine Ways to Use a Modified L 32 Orthogonal Array 198
Summary 204
Review Questions 204
Exercises 205
Exercise Answers 206
Step 7. Analysis of Variance 207
Two Parts of the Analysis 207
Part I: Simple Analysis 207
Part II: Analysis of Variance 208
Why Perform ANOVA? 208
ANOVA Calculation Strategy 209
Degrees of Freedom 211
Confidence Level and Confidence Interval 223
ANOVA Utilities 224
Error Term 224
Test of Significance 226
Experimenters: Be Aware 233
Summary 234
Review Questions 234
Exercises 235
Exercise Answers 239
Step 8. Experimental Design for Studying Factor Interaction 240
What Is Interaction, Anyway? 241
Forms of Interactions 244
Sorting Out Interactions between 2 Two Level Factors 246
Interaction Design, Analysis, and Correction 249
Strategy for Experimental Study with Larger Number of Factors 275
Interactions between Three and Four Level Factors 276
Summary 276
Review Questions 276
Exercises 278
Exercise Answers 283
Step 9. Experimental Design with Mixed Level Factors 285
How to Determine Which Array to Modify 286
Review of Array Modification Techniques 301
Summary 311
Review Questions 311
Exercises 312
Exercise Answers 317
Step 10. Combination Designs 319
Factor Level Compatibilities 319
Combination Design Technique 321
Main Effects of Combined Factors 322
Summary 332
Review Questions 332
Exercises 333
Exercise Answers 335
Step 11. Strategies for Robust Design 336
Driving Philosophy 337
Collecting Information about Variation 338
Experimental Strategy for Robust Design 339
Formalities of Combining Noise Factors 339
Preferred Ways to Treat Noise Factors 362
Summary 363
Review Questions 363
Exercises 364
Exercise Answers 368
Step 12. Analysis Using Signal to Noise Ratios 369
Mean Squared Deviation 370
Definition of MSD for the Three Quality Characteristics 371
Recommended Yardstick for Analysis 371
Benefits and Complexities of Analyses Using S/N Ratios 372
Calculation of ANOVA Terms 392
Alternative Form of Nominal is Best S/N Ratio 397
Summary 401
Review Questions 401
Exercises 402
Exercise Answers 404
Step 13. Results Comprising Multiple Criteria of Evaluations 405
Overall Evaluation Criterion 406
Recommended Analysis Strategy for Multiple Objectives 406
Summary 429
Review Questions 429
Exercises 430
Exercise Answers 432
Step 14. Quantification of Variation Reduction and Performance
Improvement 433
How to Measure and Express Improvement 434
Interrelationships among Common Distribution Statistics 435
Expressing Improvements in Terms of Dollars 437
Estimation of Variation from Known S/N Ratios 444
Relationship between Gain in S/N and Standard Deviation 447
Relationship between Gain in S/N and Loss in Dollars 448
Relationship between Capability Indices and Standard Deviation 449
Summary 459
Review Questions 459
Exercises 460
Exercise Answers 463
Step 15. Effective Experiment Preparation and Planning 465
Preparation for Experimentation 465
Project Selection 466
Team Selection 467
Planning and Execution of the Experiment 468
Application and Analysis Checklist 474
Summary 476
Review Questions 477
Exercises 477
Exercise Answers 478
Step 16. Case Studies 479
Case Study 16.1: Body Panel Thickness Variation Reduction Study 480
Case Study 16.2: Window Cranking Effort Reduction Study 485
Case Study 16.3: Reduction of Hydrogen Embrittlement in Electroplating 488
Case Study 16.4: Water Jet Cutting Process Study 490
Case Study 16.5: Performance Optimization of an Airbag Inflator 495
Case Study 16.6: Summary of Laser Welding Process Study 501
Case Study 16.7: Summary of Paint and Urethane Bond Strength Study 504
Case Study 16.8: Summary of Finish Turning Process Optimization Study 505
Case Study 16.9: Driver Comfort Simulation Study 507
Case Study 16.10: Optimization of Tensile Strength of an Airbag Stitch Seam 509
Case Study 16.11: Summary of Resistance Spot Welding Study 511
Summary 513
Appendix 514
Glossary 514
F Tables 516
Common Orthogonal Arrays 518
Two Level Orthogonal Arrays and Interactions (Linear Graphs) 518
Three Level Orthogonal Arrays 522
Four Level Orthogonal Arrays 524
Linear Graphs for Two Level Orthogonal Arrays 526
References 526
Practice Session Using Qualitek 4 Software 527
Special Tasks: Capturing, Pasting, and Cropping QT4 Screens for Reports
and Presentations 529
What s on the Disk 530
Index 531
|
| adam_txt |
Preface xi
Acknowledgments xiii
Symbols and Abbreviations xv
Introduction 1
DOE Application Skills 1
Quick Step Summary 3
Step 1. Design of Experiments and the Taguchi Approach 8
Overview of Design of Experiments and the Taguchi Approach 8
What Is Design of Experiments? 9
Who Is Taguchi? 9
Why Is Taguchi's Name Associated with DOE Today? 10
What's New? 10
New Philosophy and Attitude Toward Building Quality 10
New Way to Measure Cost of Quality 14
New Disciplines 15
Simpler and Standardized Experiment Design Technique 18
What Is DOE All About? 19
Where Should DOE Be Applied? 21
What Types of Industries Can Benefit from DOE? 21
Who Should Benefit Most from DOE? 21
Summary 22
Exercises 23
Exercise Answers 24
Step 2. Definition and Measurement of Quality 25
Performance Evaluation and Measurement 25
Process View of System under Study 26
Types of Results 29
Evaluations for Comparison 30
Setting Up Qualitek 4 Software in Your Computer 33
Copying Example Experiment Files to the QT4 Program Directory 37
v
Running the QT4 Program 37
Comparison of Individual Performances 40
Comparison of Group Performances 40
Measuring Variations with Mean Squared Deviation 41
Using QT4 for MSD Calculation 44
Results Comprising Multiple Criteria of Evaluation 50
OEC Formulation 53
Rationale for the OEC Formula 54
Calculating OEC Using QT4 55
Things to Remember When Using QT4 OEC Capabilities 57
Summary 59
Review Questions 59
Exercises 60
Exercise Answers 62
Step 3. Common Experiments and Methods of Analysis 65
Why Experiment? 65
Language of Experiments 66
Investigating One Factor at a Time 70
Finding the Desirable Factor Level from Multilevel Experiments 74
Investigating Several Factors One at a Time 75
Lack of Reproducibility 78
Assessing the Status of Performance from Multiple Sample Tests 79
Summary 90
Review Questions 90
Exercises 91
Exercise Answers 93
Step 4. Experimental Design Using Orthogonal Arrays 95
Experiments with Multiple Factors 95
Experiments That Look At All Possible Factor Combinations 96
Shortcuts to Design of Experiments 99
Properties of Orthogonal Arrays 99
Orthogonal Properties of Arrays 100
Common Orthogonal Arrays and Their Special Properties 102
Using Orthogonal Arrays to Design Experiments 103
Experiment Planning: First Step in DOE Application 110
Completing Experiments as Planned 115
Case Study 4.1: Part Strength Study 115
Summary 133
Review Questions 133
Exercises 133
Exercise Answers 134
Step 5. Experimental Design with Two Level Factors Only 136
Two Ways to Use an L 4 Orthogonal Array 136
Four Ways to Use an L 8 Orthogonal Array 143
Four Ways to Use an L 12 Orthogonal Array 157
Four Ways to Use an L 16 Orthogonal Array 159
Sixteen Ways to Use an L 32 Orthogonal Array 161
Improved Reproducibility with Orthogonal Array Experiments 162
Analytical Verification of Orthogonal Array Experiments 165
Summary 168
Review Questions 168
Exercises 168
Exercise Answers 171
Step 6. Experimental Design With Three and Four Level Factors 172
Three Ways to Use an L 9 Orthogonal Array 172
Over Six Ways to Use an L 18 Orthogonal Array 179
Six Ways to Use an L 27 Orthogonal Array 186
Four Ways to Use a Modified L 16 Orthogonal Array 193
Nine Ways to Use a Modified L 32 Orthogonal Array 198
Summary 204
Review Questions 204
Exercises 205
Exercise Answers 206
Step 7. Analysis of Variance 207
Two Parts of the Analysis 207
Part I: Simple Analysis 207
Part II: Analysis of Variance 208
Why Perform ANOVA? 208
ANOVA Calculation Strategy 209
Degrees of Freedom 211
Confidence Level and Confidence Interval 223
ANOVA Utilities 224
Error Term 224
Test of Significance 226
Experimenters: Be Aware 233
Summary 234
Review Questions 234
Exercises 235
Exercise Answers 239
Step 8. Experimental Design for Studying Factor Interaction 240
What Is Interaction, Anyway? 241
Forms of Interactions 244
Sorting Out Interactions between 2 Two Level Factors 246
Interaction Design, Analysis, and Correction 249
Strategy for Experimental Study with Larger Number of Factors 275
Interactions between Three and Four Level Factors 276
Summary 276
Review Questions 276
Exercises 278
Exercise Answers 283
Step 9. Experimental Design with Mixed Level Factors 285
How to Determine Which Array to Modify 286
Review of Array Modification Techniques 301
Summary 311
Review Questions 311
Exercises 312
Exercise Answers 317
Step 10. Combination Designs 319
Factor Level Compatibilities 319
Combination Design Technique 321
Main Effects of Combined Factors 322
Summary 332
Review Questions 332
Exercises 333
Exercise Answers 335
Step 11. Strategies for Robust Design 336
Driving Philosophy 337
Collecting Information about Variation 338
Experimental Strategy for Robust Design 339
Formalities of Combining Noise Factors 339
Preferred Ways to Treat Noise Factors 362
Summary 363
Review Questions 363
Exercises 364
Exercise Answers 368
Step 12. Analysis Using Signal to Noise Ratios 369
Mean Squared Deviation 370
Definition of MSD for the Three Quality Characteristics 371
Recommended Yardstick for Analysis 371
Benefits and Complexities of Analyses Using S/N Ratios 372
Calculation of ANOVA Terms 392
Alternative Form of "Nominal is Best" S/N Ratio 397
Summary 401
Review Questions 401
Exercises 402
Exercise Answers 404
Step 13. Results Comprising Multiple Criteria of Evaluations 405
Overall Evaluation Criterion 406
Recommended Analysis Strategy for Multiple Objectives 406
Summary 429
Review Questions 429
Exercises 430
Exercise Answers 432
Step 14. Quantification of Variation Reduction and Performance
Improvement 433
How to Measure and Express Improvement 434
Interrelationships among Common Distribution Statistics 435
Expressing Improvements in Terms of Dollars 437
Estimation of Variation from Known S/N Ratios 444
Relationship between Gain in S/N and Standard Deviation 447
Relationship between Gain in S/N and Loss in Dollars 448
Relationship between Capability Indices and Standard Deviation 449
Summary 459
Review Questions 459
Exercises 460
Exercise Answers 463
Step 15. Effective Experiment Preparation and Planning 465
Preparation for Experimentation 465
Project Selection 466
Team Selection 467
Planning and Execution of the Experiment 468
Application and Analysis Checklist 474
Summary 476
Review Questions 477
Exercises 477
Exercise Answers 478
Step 16. Case Studies 479
Case Study 16.1: Body Panel Thickness Variation Reduction Study 480
Case Study 16.2: Window Cranking Effort Reduction Study 485
Case Study 16.3: Reduction of Hydrogen Embrittlement in Electroplating 488
Case Study 16.4: Water Jet Cutting Process Study 490
Case Study 16.5: Performance Optimization of an Airbag Inflator 495
Case Study 16.6: Summary of Laser Welding Process Study 501
Case Study 16.7: Summary of Paint and Urethane Bond Strength Study 504
Case Study 16.8: Summary of Finish Turning Process Optimization Study 505
Case Study 16.9: Driver Comfort Simulation Study 507
Case Study 16.10: Optimization of Tensile Strength of an Airbag Stitch Seam 509
Case Study 16.11: Summary of Resistance Spot Welding Study 511
Summary 513
Appendix 514
Glossary 514
F Tables 516
Common Orthogonal Arrays 518
Two Level Orthogonal Arrays and Interactions (Linear Graphs) 518
Three Level Orthogonal Arrays 522
Four Level Orthogonal Arrays 524
Linear Graphs for Two Level Orthogonal Arrays 526
References 526
Practice Session Using Qualitek 4 Software 527
Special Tasks: Capturing, Pasting, and Cropping QT4 Screens for Reports
and Presentations 529
What's on the Disk 530
Index 531 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Roy, Ranjit K. um 1990 |
| author_GND | (DE-588)10423752X |
| author_facet | Roy, Ranjit K. um 1990 |
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| callnumber-sort | TS 3156 |
| callnumber-subject | TS - Manufactures |
| classification_tum | MAT 620f WIR 896f TEC 700f |
| ctrlnum | (OCoLC)43894329 (DE-599)BVBBV022279671 |
| dewey-full | 658.5/62 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| 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 | Technik Mathematik Wirtschaftswissenschaften |
| discipline_str_mv | Technik Mathematik Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV022279671 |
| illustrated | Illustrated |
| index_date | 2024-07-02T16:48:58Z |
| indexdate | 2024-07-09T20:54:00Z |
| institution | BVB |
| isbn | 0471361011 |
| language | English |
| lccn | 00036841 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015490003 |
| oclc_num | 43894329 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | xv, 538 p. ill. 24 cm. + 1 computer laser disc (4 3/4 in). |
| publishDate | 2001 |
| publishDateSearch | 2001 |
| publishDateSort | 2001 |
| publisher | Wiley |
| record_format | marc |
| spelling | Roy, Ranjit K. um 1990 Verfasser (DE-588)10423752X aut Design of experiments using the Taguchi approach 16 steps to product and process improvement Ranjit K. Roy New York Wiley c2001 xv, 538 p. ill. 24 cm. + 1 computer laser disc (4 3/4 in). txt rdacontent n rdamedia nc rdacarrier "A Wiley-Interscience publication." Includes bibliographical references (p. 526-527) and index Accompanying CD-ROM contains ... "Qualitek-4: automatic design & analysis of Taguchi experiments (full featured working model - demo); all the examples, exercise solutions, and case studies in the book."--CD-ROM label. System requirements for accompanying computer disc: Windows 3.1 or higher. Experimenteel ontwerp gtt Kwaliteitscontrole gtt Procesbeheersing gtt Productontwikkeling gtt Statistische methoden gtt aQuality control xStatistical methods aTaguchi methods (Quality control) aExperimental design Statistische Qualitätskontrolle (DE-588)4182962-1 gnd rswk-swf Taguchi-Methode (DE-588)4245617-4 gnd rswk-swf Versuchsplanung (DE-588)4078859-3 gnd rswk-swf Taguchi-Methode (DE-588)4245617-4 s DE-604 Statistische Qualitätskontrolle (DE-588)4182962-1 s Versuchsplanung (DE-588)4078859-3 s http://www.loc.gov/catdir/bios/wiley043/00036841.html Contributor biographical information http://www.loc.gov/catdir/description/wiley035/00036841.html Publisher description http://www.loc.gov/catdir/toc/onix07/00036841.html Table of Contents HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015490003&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Roy, Ranjit K. um 1990 Design of experiments using the Taguchi approach 16 steps to product and process improvement Experimenteel ontwerp gtt Kwaliteitscontrole gtt Procesbeheersing gtt Productontwikkeling gtt Statistische methoden gtt aQuality control xStatistical methods aTaguchi methods (Quality control) aExperimental design Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Taguchi-Methode (DE-588)4245617-4 gnd Versuchsplanung (DE-588)4078859-3 gnd |
| subject_GND | (DE-588)4182962-1 (DE-588)4245617-4 (DE-588)4078859-3 |
| title | Design of experiments using the Taguchi approach 16 steps to product and process improvement |
| title_auth | Design of experiments using the Taguchi approach 16 steps to product and process improvement |
| title_exact_search | Design of experiments using the Taguchi approach 16 steps to product and process improvement |
| title_exact_search_txtP | Design of experiments using the Taguchi approach 16 steps to product and process improvement |
| title_full | Design of experiments using the Taguchi approach 16 steps to product and process improvement Ranjit K. Roy |
| title_fullStr | Design of experiments using the Taguchi approach 16 steps to product and process improvement Ranjit K. Roy |
| title_full_unstemmed | Design of experiments using the Taguchi approach 16 steps to product and process improvement Ranjit K. Roy |
| title_short | Design of experiments using the Taguchi approach |
| title_sort | design of experiments using the taguchi approach 16 steps to product and process improvement |
| title_sub | 16 steps to product and process improvement |
| topic | Experimenteel ontwerp gtt Kwaliteitscontrole gtt Procesbeheersing gtt Productontwikkeling gtt Statistische methoden gtt aQuality control xStatistical methods aTaguchi methods (Quality control) aExperimental design Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Taguchi-Methode (DE-588)4245617-4 gnd Versuchsplanung (DE-588)4078859-3 gnd |
| topic_facet | Experimenteel ontwerp Kwaliteitscontrole Procesbeheersing Productontwikkeling Statistische methoden aQuality control xStatistical methods aTaguchi methods (Quality control) aExperimental design Statistische Qualitätskontrolle Taguchi-Methode Versuchsplanung |
| url | http://www.loc.gov/catdir/bios/wiley043/00036841.html http://www.loc.gov/catdir/description/wiley035/00036841.html http://www.loc.gov/catdir/toc/onix07/00036841.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015490003&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT royranjitk designofexperimentsusingthetaguchiapproach16stepstoproductandprocessimprovement |