Lean Six Sigma and statistical tools for engineers and engineering managers /

This book is intended to be a textbook for advanced undergraduate students, graduate students in engineering, and mid-career engineering professionals. It can also be a reference book, or be used to prepare for the Six Sigma Green Belt and Black Belt certifications by organizations such as American...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zhan, Wei (Autor), Ding, Xuru (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York [New York] (222 East 46th Street, New York, NY 10017) : Momentum Press, 2016.
Edición:First edition.
Colección:Engineering management collection.
Temas:
Six sigma (Quality control standard)
Lean manufacturing.
Production management > Quality control.
Six Sigma.
Production allégée.
Production > Gestion > Qualité > Contrôle.
BUSINESS & ECONOMICS > Industrial Management.
BUSINESS & ECONOMICS > Management.
BUSINESS & ECONOMICS > Management Science.
BUSINESS & ECONOMICS > Organizational Behavior.
Lean
Six Sigma
Design for Six Sigma
statistics
probability
DMAIC
engineering
management
optimization
process improvement
quality control
design of experiment
response surface method
Monte Carlo analysis
hypothesis test
robust design
computer-aided design
data analysis
Acceso en línea:Texto completo
Descripción
Sumario:This book is intended to be a textbook for advanced undergraduate students, graduate students in engineering, and mid-career engineering professionals. It can also be a reference book, or be used to prepare for the Six Sigma Green Belt and Black Belt certifications by organizations such as American Society for Quality. The book focuses on the introduction of the basic concepts, processes, and tools used in Lean Six Sigma. A unique feature of this book is the detailed discussion on Design for Six Sigma aided by computer modeling and simulation. The authors present several sample projects in which Lean Six Sigma and Design for Six Sigma were used to solve engineering problems or improve processes based on their own research and development experiences in engineering design and analysis.
Notas:Appendices -- Index.
Title from PDF title page (viewed on December 10, 2015).
Descripción Física:1 online resource (1 PDF (xii, 255 pages)) : illustrations.
Bibliografía:Includes bibliographical references and index.
ISBN:9781606504932
1606504932
ISSN:2376-4902

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