Username   Password       Forgot your password?  Forgot your username? 


Volume 13 - 2017

No.4 July 2017
No.4 July 2017

Volume 12 - 2016

Volume 11 - 2015

Volume 10 - 2014

Volume 9 - 2013

Volume 8 - 2012

Volume 7 - 2011

Volume 6 - 2010

Volume 5 - 2009

Volume 4 - 2008

Volume 3 - 2007

Volume 2 - 2006


Detailed review of: 

Robust Design for Quality Engineering and Six Sigma





World Scientific, Singapore




Sung H. Park and Jiju Antony




Robust Design for Quality Engineering and Six Sigma


Year of Publication














Krishna B. Misra




Review published in IJPE, Vol. 5, No. 5, October 2009, p. 499. 


The book consists of 14 chapters as follows:




  2 Pages

Chapter 1

Introduction of Quality Engineering

 15 Pages

Chapter 2

Analysis of Quality Information and Quality Improvement Effort

 43 Pages

Chapter 3

Fundamentals of Designing Experiments

 33 Pages

Chapter 4

Orthogonal Array Experiments

 49 Pages

Chapter 5

Parameter Design for Continuous Data

 36 Pages

Chapter 6

Parameter Design for Discrete Data

 28 Pages

Chapter 7

Alternative Parameter Design and Other Considerations

 34 Pages

Chapter 8

Parameter Design for Dynamic Characteristics

 24 Pages

Chapter 9

Tolerance Design

 37 Pages

Chapter 10

Robust Response Surface Design and Analysis

 40 Pages

Chapter 11

Six Sigma for Management Innovation

 29 pages

Chapter 12

Further Issues for Implementation of Six Sigma

 32 Pages

Chapter 13

Design for Six Sigma

 32 Pages

Chapter 14

Robust Design and Implementation of Six Sigma

 44 Pages


Table of Acronyms, Appendices A-I

 48 pages



 8 Pages



 7 Pages


This is a good book and authors must be congratulated to have chosen the subject to bring out a book on. As the authors, who have been consultants to industries for quality management as well as


teachers, have explained in the preface of this book that their primary aim behind authoring this book has been to familiarize a reader with the Taguchi's robust design principles and concepts in quality engineering and to relate it to Six Sigma, particularly for implementation of Design for Six Sigma (DFSS). The authors have presented several case studies to demonstrate this capability. The book actually combines classical experimental design methods with those of Taguchi's robust design principles since they believe that these strategies when combined would provide the most powerful approach for quality improvement and for product and process optimization. The reviewer has no hesitation to say that the authors have been largely successful in achieving this objective. The author has been largely successful in achieving this objective. Lucid presentation in initial chapters of the book would found very useful and educative by the students who wish to get introduced to the subject and methodologies involved in quality engineering. The book has clarity and has easy to understand explanations, which will be liked by the engineers, researcher and students alike. The book is very well written and will be found as good reference material to the subject.  The reviewer would like to recommend this book to the engineers and statisticians who wish to get familiarized with the subject.

Krishna B. Misra



Review published in the International Journal of Performability Engineering, Vol. 5, No. 5, October 2009, p. 499. 


This review was published in the International Journal of Performability Engineering, Vol. 5, No. 5, October 2009 issue on page 499.

This site uses encryption for transmitting your passwords.