Taguchi S Quality Engineering Handbook
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Taguchi's Quality Engineering Handbook
In the last fifty years, one man stands out as the driving force behind the quality revolution--Genichi Taguchi. Now, for the first time in one volume, Taguchi's Quality Engineering Handbook presents all the methods and beliefs that have made Taguchi one of the most respected authorities on quality engineering and management in the world. No other single volume presents the full breadth of founding beliefs behind the successful engineering practices used by today's leading companies. (Midwest).
TQM Engineering Handbook
Offering a model, an implementing strategy, as well as traditional and nontraditional methods for the successful enhancement and maintenance of quality, this work establishes a rationale for the continuation of Total Quality Management (TQM) in all organizations. It considers leading quality-related topics, such as unusual charts, supplier-organization-customer relationships, customer needs and expectations, instructional design, adult learning, advanced quality planning, and reliability.
Robust Design For Quality Engineering And Six Sigma
Author: Sung Hyun Park
language: en
Publisher: World Scientific Publishing Company
Release Date: 2008-09-26
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.