Lean Six Sigma and Statistical Tools for Engineers and Engineering Managers

Häftad, Engelska, 2015

Del i serien Engineering Management Collection

493 kr

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Beskrivning

The book focuses on the introduction of the basic concepts, processes, and tools used in Lean Six Sigma. A unique feature 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. 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.

Produktinformation

Utgivningsdatum:2015-11-16
Mått:152 x 229 x 15 mm
Vikt:402 g
Format:Häftad
Språk:Engelska
Serie:Engineering Management Collection
Antal sidor:272
Förlag:Momentum Press
ISBN:9781606504925

Utforska kategorier

Maskinteknik och material inom Naturvetenskap och teknik

Mer om författaren

Dr. Wei Zhan is an associate professor and program coordinator for the Electronics Systems Engineering Technology program at Texas A&M University. He received his BS degree in electrical engineering from Beijing University of Aeronautics and Astronautics, his MS, and DSc degrees in systems science and mathematics from Washington University in St. Louis. He has been teaching Lean Six Sigma to undergraduate engineering technology students at Texas A&M since 2008. Before joining Texas A&M, he worked in the automotive industry for eleven years as a system design engineer. Dr. Xuru Ding is a technical lead engineer and a DFSS Master Black Belt at General Motors. She received her BS in automatic control from the Southeastern University, China, her MS and DSc degrees in system science and mathematics from Washington University in St. Louis and an MS degree in energy system engineering from University of Michigan. Since then, she has led numerous projects of Robust Design and DFSS, for improving product performance and quality, as well as teaching training courses on Robust Design and DFSS at General Motors.