Six Sigma and Quality Concepts for Industrial Engineers

Author:   Emre Tokgoz
Publisher:   Springer International Publishing AG
ISBN:  

9783031557422


Pages:   233
Publication Date:   24 March 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Six Sigma and Quality Concepts for Industrial Engineers


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Author:   Emre Tokgoz
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031557422


ISBN 10:   3031557425
Pages:   233
Publication Date:   24 March 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Statistics of Six Sigma for Industrial Engineers.- Defining the Six-Sigma Project.- Measure.- Analyze.- Improve.- Control.- Epilogue.

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Author Information

Emre Tokgöz, Ph.D., authored this book based on his extensive project experience during Six Sigma Black Belt training of university students in conjunction with industry partners, including Pratt & Whitney, Parker Hannifin, Nucor Stainless Steel, Yale New Haven Hospital, Hartford Hospital, Turner Construction, Brook & Whittle Ltd., and ITW Drawform. Prof. Tokgöz completed a Ph.D. in mathematics, another Ph.D. in industrial engineering, an MS in computer science, and an MA in mathematics at the University of Oklahoma. He also completed an MS and BA in mathematics at the University of Ankara, Turkey. His most recent education is a master's degree in engineering management with a concentration on Applied Biomedical Engineering for Professionals. His research, publication, and teaching areas and interests included pedagogy, optimization, biomedical engineering, robotics, game theory, network analysis, financial engineering, facility allocation, inventory systems, queueing theory analysis, supply chain, renewable energy sources, STEM education, machine and deep learning, and Riemannian geometry.

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Latest Reading Guide

NOV RG 20252

 

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