Robust design for quality engineering and six sigma

  • Sung H. Park
  • , Jiju Antony

Research output: Book/ReportBookpeer-review

55 Scopus citations

Abstract

This book is written primarily for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. It is a valuable guide and reference material for students, managers, quality improvement specialists and other professionals interested in Taguchi’s robust design methods as well as the implementation of Six Sigma. This book can also be useful to those who would like to learn about the role of Robust Design within the Six Sigma (Improve phase) methodology and Design for Six Sigma (DFSS) (Optimize) methodology. It combines classical experimental design methods with those of Taguchi’s robust designs, demonstrating their prowess in DFSS and suggesting new directions for the development of statistical design and analysis.

Original languageBritish English
Number of pages545
ISBN (Electronic)9789812778697
DOIs
StatePublished - 1 Jan 2008

Fingerprint

Dive into the research topics of 'Robust design for quality engineering and six sigma'. Together they form a unique fingerprint.

Cite this