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Design of experiments (DOE) is an off-line quality assurance technique used to achieve best performance of products and processes. This book covers the basic ideas, terminology, and the application of techniques necessary to conduct a study using DOE. The text is divided into two parts—Part I (Design of Experiments) and Part II (Taguchi Methods). Part I (Chapters 1–8) begins with a discussion on basics of statistics and fundamentals of experimental designs, and then, it moves on to describe randomized design, Latin square design, Graeco-Latin square design. In addition, it also deals with statistical model for a two-factor and three-factor experiments and analyses 2k factorial, 2k-m fractional factorial design and methodology of surface design. Part II (Chapters 9–16) discusses Taguchi quality loss function, orthogonal design, objective functions in robust design. Besides, the book explains the application of orthogonal arrays, data analysis using response graph method/analysis of variance, methods for multi-level factor designs, factor analysis and genetic algorithm. This book is intended as a text for the undergraduate students of Industrial Engineering and postgraduate students of Mechtronics Engineering, Mechanical Engineering, and Statistics. In addition, the book would also be extremely useful for both academicians and practitioners KEY FEATURES : Includes six case studies of DOE in the context of different industry sector. Provides essential DOE techniques for process improvement. Introduces simple graphical methods for reducing time taken to design and develop products.

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Product Details

ISBN-13: 9788120345270
Publisher: PHI Learning
Publication date: 01/18/2012
Sold by: Barnes & Noble
Format: NOOK Book
File size: 14 MB
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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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