RSM simplified: optimizing processes using response surface methods for design of experiments
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton
CRC Press, Taylor & Francis [u.a.]
2005
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Bidrag fra en konferanse holdt i 2000. - CD-ROM i lomme. - CD-ROM med tittel: Design-expert 7.0 : software design of experiments |
| Beschreibung: | XXI, 292 S. Ill., graph. Darst. 1 CD-ROM (12 cm.) |
| ISBN: | 9781563272974 1563272970 |
Internformat
MARC
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Datensatz im Suchindex
| _version_ | 1804149181676257280 |
|---|---|
| adam_text | Titel: RSM simplified
Autor: Anderson, Mark J
Jahr: 2005
CONTENTS
Preface ix
Chapter 1: Introduction to the Beauty of Response
Surface Methods 1
Strategy of Experimentation: The Role for RSM 1
One Map Better Than 1000 Statistics (with Apologies to Confucius?) 5
Using Math Models to Draw a Map That s Wrong (But Useful!) 8
Finding the Flats to Achieve Six Sigma Objectives for Robust Design 24
Practice Problem 1-1 26
Chapter 1 Appendix: Don t Let R2 Fool You 27
Chapter 2: Lessons to Learn from Happenstance Regression 31
The Dangers of Happenstance Regression 31
The Storks-Bring-Babies Fallacy, in which Correlation Implies Causation 39
Diagnosing Input and Output Data for Outlying and/or Influential Points 42
Extrapolation Can Be Hazardous to Your Health! 49
Practice Problem 2-1 53
Chapter 2 Appendix: A Brief Overview of Matrix Terminology 54
Chapter 3: Factorials to Set the Stage for More
Glamorous RSM Designs 57
Putting OFAT in the Fire 57
Factorial Designs as an Option to OFAT 61
Two-Level Factorial Design with Center Points: A Foundation for RSM 62
A Test for Curvature Tailored to 2k Designs with Center Points 67
Further Discussion on Testing for Lack of Fit 69
The Fork in the Road Has Been Reached! 70
Practice Problem 3-1 72
Practice Problem 3-2 73
Chapter 4: Central Composite Design: Stars Added?
RSM Show Begins 77
Augmenting a Two-Level Factorial with Star Points to Fit Curvature 77
CCD Example: Part Two of a Chemical Reaction Example 79
How to Select a Good Predictive Model 79
Inspecting the Selected Model 84
Model Graphs 90
Practice Problem 4-1 97
Practice Problem 4-2 99
Appendix 4A: Details for the Sequential Model Sum of Squares Table 100
Appendix 4B: Details for Lack-of-Fit Tests 101
Chapter 5: Three-Level Designs 103
The Box-Behnken Design 105
Case Study on Trebuchet 108
Practice Problem 5-1 116
Chapter 5 Appendix: Box-Cox Plot for Transformations 120
Chapter 6: Finding Your Sweet Spot for Multiple Responses 123
Less filling versus Tastes great! ?Always a Trade-off 123
Making Use of Desirability Function to Evaluate Multiple Responses 124
Numerical Search for Optimum 132
Summary 132
Case Study with Multiple Responses: Making Microwave Popcorn 133
Practice Problem 6-1 141
Practice Problem 6-2 142
Chapter 6 Appendix: Simplex Optimization 144
Chapter 7: Computer-Generated Optimal Designs 149
Quantifying Operating Boundaries with Multilinear Constraints 152
Computer-Generated Design for Constrained Region of Interest 154
A Real-Life Application for Computer-Generated Optimal Design 158
Other Applications for Optimal Designs 159
Practice Problem 7-1 160
Practice Problem 7-2 161
Appendix 7A: How to Quantify Multilinear Constraints 162
Appendix 7B: How to Generate a Good Candidate Set 164
Appendix 7C: An Algorithm for D-Optimal Point Selection 165
Chapter 8: Everything You Should Know About
CCDs (but Dare Not Ask!) 169
Rotatable Central Composite Designs 172
Going Cuboidal when Your Region of Operability and Interest Coincide 174
Practical Placement of Stars?Outside the Box but Still in the Galaxy 178
Center Points in Central Composite Designs 180
Final Comments?How We Recommend You Construct CCDs 182
Practice Problem 8-1 184
Practice Problem 8-2 188
Appendix 8A: Some Details on Blocking CCDs and Issues of Orthogonality 190
Appendix 8B: Small Composite Designs (SCDs) to Minimize Runs 193
Good Alternative to SCDs: Minimum-Run Resolution V CCDs 195
Chapter 9: RSM for Six Sigma 197
Developing POE at the Simplest Level of RSM: A One-Factor Experiment 198
An Application of POE for Three Factors Studied via a Box-Behnken Design 201
Practice Problem 9-1 206
Practice Problem 9-2 207
Chapter 9 Appendix: Details on How to Calculate POE 207
POE for Transformed Responses 210
Chapter 10: Other Applications for RSM 215
Adding Categoric Factors to RSM Designs 215
Response Surface Methods for Experimenting on Computer Simulations 222
Practice Problem 10-1 229
Chapter 10 Appendix: Alternative RSM Designs for Experiments
on Simulations 231
Chapter 11: Applying RSM to Mixtures 235
Accounting for Proportional Effects by Creating Ratios of Ingredients 236
A Different Approach for Optimizing Formulations: Mixture Design 246
Practice Problem 11-1 249
Practice Problem 11-2 252
Glossary of Symbols and Terms 255
Glossary of Symbols 255
Glossary of Terms 257
References 273
About the Authors 279
Index 281
About the Software 289
|
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| id | DE-604.BV040154832 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T00:18:57Z |
| institution | BVB |
| isbn | 9781563272974 1563272970 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025011491 |
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| physical | XXI, 292 S. Ill., graph. Darst. 1 CD-ROM (12 cm.) |
| publishDate | 2005 |
| publishDateSearch | 2005 |
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| publisher | CRC Press, Taylor & Francis [u.a.] |
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| spelling | Anderson, Mark J. 1953- Verfasser (DE-588)173842232 aut RSM simplified optimizing processes using response surface methods for design of experiments Mark J. Anderson ; Patrick J. Whitcomb Boca Raton CRC Press, Taylor & Francis [u.a.] 2005 XXI, 292 S. Ill., graph. Darst. 1 CD-ROM (12 cm.) txt rdacontent n rdamedia nc rdacarrier Bidrag fra en konferanse holdt i 2000. - CD-ROM i lomme. - CD-ROM med tittel: Design-expert 7.0 : software design of experiments Experimental design Response surfaces (Statistics) Matematisk statistikk / tekord Versuchsplanung (DE-588)4078859-3 gnd rswk-swf Experimentelle Versuchsforschung (DE-588)4488711-5 gnd rswk-swf Versuchsplanung (DE-588)4078859-3 s Experimentelle Versuchsforschung (DE-588)4488711-5 s DE-604 Whitcomb, Patrick J. 1950- Verfasser (DE-588)173842240 aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025011491&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Anderson, Mark J. 1953- Whitcomb, Patrick J. 1950- RSM simplified optimizing processes using response surface methods for design of experiments Experimental design Response surfaces (Statistics) Matematisk statistikk / tekord Versuchsplanung (DE-588)4078859-3 gnd Experimentelle Versuchsforschung (DE-588)4488711-5 gnd |
| subject_GND | (DE-588)4078859-3 (DE-588)4488711-5 |
| title | RSM simplified optimizing processes using response surface methods for design of experiments |
| title_auth | RSM simplified optimizing processes using response surface methods for design of experiments |
| title_exact_search | RSM simplified optimizing processes using response surface methods for design of experiments |
| title_full | RSM simplified optimizing processes using response surface methods for design of experiments Mark J. Anderson ; Patrick J. Whitcomb |
| title_fullStr | RSM simplified optimizing processes using response surface methods for design of experiments Mark J. Anderson ; Patrick J. Whitcomb |
| title_full_unstemmed | RSM simplified optimizing processes using response surface methods for design of experiments Mark J. Anderson ; Patrick J. Whitcomb |
| title_short | RSM simplified |
| title_sort | rsm simplified optimizing processes using response surface methods for design of experiments |
| title_sub | optimizing processes using response surface methods for design of experiments |
| topic | Experimental design Response surfaces (Statistics) Matematisk statistikk / tekord Versuchsplanung (DE-588)4078859-3 gnd Experimentelle Versuchsforschung (DE-588)4488711-5 gnd |
| topic_facet | Experimental design Response surfaces (Statistics) Matematisk statistikk / tekord Versuchsplanung Experimentelle Versuchsforschung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025011491&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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