| 000 | 02415nmm a2200193Ia 4500 | ||
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| 020 | _a9780471361015 | ||
| 020 | _a9780471437802 | ||
| 082 |
_a658.562 _bR812D |
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| 100 |
_aRoy, Ranjit K. _944879 |
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| 245 | 0 |
_aDesign of Experiments Using Taguchi Approach _b16 steps to product and process improvement _cby Ranjit K. Roy _h[electronic resource] |
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| 260 |
_aNew Jersey _bJohn Wiley & Sons _c2001 |
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| 300 | _a538p. | ||
| 500 | _aFulfill the practical potential of DOE-with a powerful, 16-step approach for applying the Taguchi method Over the past decade, Design of Experiments (DOE) has undergone great advances through the work of the Japanese management guru Genechi Taguchi. Yet, until now, books on the Taguchi method have been steeped in theory and complicated statistical analysis. Now this trailblazing work translates the Taguchi method into an easy-to-implement 16-step system. Based on Ranjit Roy's successful Taguchi training course, this extensively illustrated book/CD-ROM package gives readers the knowledge and skills necessary to understand and apply the Taguchi method to engineering projects-from theory and applications to hands-on analysis of the data. It is suitable for managers and technicians without a college-level engineering or statistical background, and its self-study pace-with exercises included in each chapter-helps readers start using Taguchi DOE tools on the job quickly. Special features include: * An accompanying CD-ROM of Qualitek-4 software, which performs calculations and features all example experiments described in the book * Problem-solving exercises relevant to actual engineering situations, with solutions included at the end of the text * Coverage of two-, three-, and four-level factors, analysis of variance, robust designs, combination designs, and more Engineers and technical personnel working in process and product design-as well as other professionals interested in the Taguchi method-will find this book/CD-ROM a tremendously important and useful asset for making the most of DOE in their work. | ||
| 650 |
_aExperimental design _944880 |
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| 650 |
_aQuality control--Statistical methods _944881 |
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| 856 | _uhttps://eds.p.ebscohost.com/eds/detail/detail?vid=6&sid=f173e4fc-a387-44f8-9661-91322d4c3ad2%40redis&bdata=JnNpdGU9ZWRzLWxpdmUmc2NvcGU9c2l0ZQ%3d%3d#AN=56599&db=nlebk | ||
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