Industrial engineers need to have a good foundation in the Six Sigma process to define needs, collect data, measure performance, analyze results, and improve operations in the workplace. This textbook covers the associated Six Sigma, lean, and technology-related concepts that an industrial engineer needs to understand to adopt the changes necessary to remove waste and increase productivity. The book introduces essential basic measurement tools and various process improvement methodologies, including total quality management (TQM), Six Sigma and the DMAIC approach, lean methodology, and Kaizen. Case studies and examples examine manufacturing, health care, and transportation services. **Six Sigma and Quality Concepts for Industrial Engineers provides industrial engineering students and practitioners with a practical understanding of Six Sigma and manufacturing improvement concepts.

Introduces crucial improvement tools and techniques;
A compact introduction for industrial engineering students, professional development, and training courses;
Explains concepts with examples, exercises, and case studies.

Autorentext

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.