APPLIED DESIGN OF EXPERIMENTS AND TAGUCHI METHODS
A guide to the application of design of experiments and Taguchi methods for optimizing processes and improving quality.
1122292616
APPLIED DESIGN OF EXPERIMENTS AND TAGUCHI METHODS
A guide to the application of design of experiments and Taguchi methods for optimizing processes and improving quality.
5.98 In Stock
APPLIED DESIGN OF EXPERIMENTS AND TAGUCHI METHODS

APPLIED DESIGN OF EXPERIMENTS AND TAGUCHI METHODS

APPLIED DESIGN OF EXPERIMENTS AND TAGUCHI METHODS

APPLIED DESIGN OF EXPERIMENTS AND TAGUCHI METHODS

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Overview

A guide to the application of design of experiments and Taguchi methods for optimizing processes and improving quality.

Product Details

ISBN-13: 9788120345270
Publisher: PHI Learning
Publication date: 01/18/2012
Sold by: Barnes & Noble
Format: eBook
File size: 14 MB
Note: This product may take a few minutes to download.

About the Author

KRISHNAIAH, K. K. KRISHNAIAH (PhD) is Former Professor and Head, Department of Industrial Engineering, Anna University, Chennai. He received his BE (Mechanical) and ME (Industrial Engg.) from S.V. University, Chennai. Dr. Krishnaiah has twenty-eight years of teaching experience and has published several papers in national and international journals. His areas of interest include operations, quality and design of experiments. SHAHABUDEEN, P. P. SHAHABUDEEN (PhD) is Professor and Head, Department of Industrial Engineering, Anna University, Chennai. He received his BE (Mechanical) from Madurai University and ME from Anna University, Chennai. Dr. Shahabudeen has published/presented more than thirty papers in international journals/conferences. His areas of interests include discrete system simulation, meta heuristics, object oriented programming and operation research.

Table of Contents

Preface Part I: DESIGN OF EXPERIMENTS 1. Review of Statistics 2. Fundamentals of Experimental Designs 3. Single Factor Experiments 4. Multi-Factor Factorial Experiments 5. The 2k Factorial Experiments 6. Blocking and Confounding in 2k Factorial Designs 7. Two-Level Fractional Factorial Designs 8. Response Surface Methods Part II: TAGUCHI METHODS 9. Quality Loss Function 10. Taguchi Methods 11. Design of Experiments using Orthogonal Arrays 12. Data Analysis from Taguchi Experiments 13. Robust Design 14. Multi-Level Factor Design 15. Multi-Response Optimization Problems 16. Case Studies Appendices • References • Index
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