Design of experiments using the Taguchi approach : 16 steps to product and process improvement / Ranjit K. Roy.
By: Roy, Ranjit K
.
Publisher: New York : John Wiley, c2001Description: xv, 538 p. : ill. ; 24 cm. + 1 CD-ROM (4 3/4 in).ISBN: 9780471361015 (hbk.); 0471361011 (hbk.).Subject(s): Quality control -- Statistical methods | Taguchi methods (Quality control) | Experimental designDDC classification: 658.562 | Item type | Current location | Shelf location | Call number | Copy number | Status | Notes | Date due | Barcode |
|---|---|---|---|---|---|---|---|---|
| Accompanying Material (Media Resource) | Taylor's Library-TU | 658.562 ROY (Browse shelf) | 1 | Available | SOExx,07017,03,GR | 1000146887 | ||
| Main Collection | Taylor's Library-TU |
Floor 4, Shelf 26 , Side 1, TierNo 4, BayNo 8 |
658.562 ROY (Browse shelf) | 1 | Available | SOExx,07017,03,GR | 5000061752 | |
| Accompanying Material (Media Resource) | Taylor's Library-TU | 658.562 ROY (Browse shelf) | 1 | Available | SOExx,07017,03,GR | 1000146888 | ||
| Main Collection | Taylor's Library-TU | 658.562 ROY (Browse shelf) | 1 | Available | SOExx,07017,03,GR | 5000061760 |
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| 658.562 ROY Design of experiments using the Taguchi approach : | 658.562 ROY Design of experiments using the Taguchi approach : | 658.562 ROY Design of experiments using the Taguchi approach : | 658.562 ROY Design of experiments using the Taguchi approach : | 658.562 ROY Design of experiments using the Taguchi approach : | 658.562 ROY Design of experiments using the Taguchi approach : | 658.562 ROY Design of experiments using the Taguchi approach : |
"A Wiley-Interscience publication."
Includes bibliographical references (p. 526-527) and index.
Preface. - Acknowledgments. - Symbols and Abbreviations. - Introduction. - Design of Experiments and the Taguchi Approach. - Definition and Measurement of Quality. - Common Experiments and Methods of Analysis. - Experimental Design Using Orthogonal Arrays. - Experimental Design with Two-Level Factors Only. - Experimental Design With Three- and Four-Level Factors. - Analysis of Variance. - Experimental Design for Studying Factors Interaction. - Experimental Design with Mixed-Level Factors. - Combination Designs. - Strategies for Robust Design. - Analysis Using Signal-to-Noise Ratios. - Results Comprising Multiple Criteria of Evaluations. - Quantification of Variation Reduction and Performance Improvement. - Effective Experiment Preparation and Planning. - Case Studies. - Appendix. - What's on the Disk. - Index. - List of Symbols.