Emre Tokgöz, Ph.D., is a Visiting Professor at the Farmingdale State College campus of The State University of New York. He was the Director and an Associate Professor of Industrial Engineering at Quinnipiac University. This book is authored 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.

• Introduction.- Basic Statistics.- Defining the Six-Sigma Project.- Measure.- Analyze.- Improve.- Control.- Epilogue.

Emre Tokgöz, Ph.D., is a Visiting Professor at the Farmingdale State College campus of The State University of New York. He was the Director and an Associate Professor of Industrial Engineering at Quinnipiac University. This book is authored 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.

• Introduction.- Basic Statistics.- Defining the Six-Sigma Project.- Measure.- Analyze.- Improve.- Control.- Epilogue.