Overview

This textbook is the first of its kind, designed exclusively for the training and professional development of engineering technicians and technologists on the quality concepts, tools, and skills necessary for today's industrial environment. The book provides learners and working professionals with numerous examples, exercises, and case studies to prepare them to apply concepts including total quality management (TQM), six sigma, and lean methodology in analyzing and solving quality problems and implementing process improvements and corrective actions in the manufacturing process. Quality and Lean Six Sigma for Engineering Technicians gives readers a practical understanding of six sigma and manufacturing improvement concepts. It is also a go-to reference for practicing engineering technicians already working in the field.

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9783031440359

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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.

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