The industry is currently facing a multitude of challenges on production lines that must be systematically addressed in order to improve quality and productivity. One commonly utilized methodology by companies is DMAIC (Define, Measure, Analyze, Improve, and Control), which has been proven effective through various case studies and is now considered a standard problem-solving approach. However, existing books on DMAIC often focus solely on defining concepts and tools, as well as showcasing case studies separately. This book consolidates all of these aspects into a single, user-friendly resource.

DMAIC: Concepts, Tools, and Industrial Applications offers both theoretical and practical insights into the DMAIC methodology. It sequentially presents all stages of DMAIC, outlining activities, data collection, and analysis processes. By integrating DMAIC concepts, tools, and case studies, this book provides industry professionals with a comprehensive resource. Real-world case studies from companies that have successfully implemented DMAIC to enhance production processes are showcased, offering valuable insights and practical examples.

This book serves as a valuable resource for professionals, students, and individuals responsible for improving industrial production systems. By consolidating theory, tools, and case studies into a single book, readers can gain a comprehensive understanding of DMAIC and its application in industry.

Arturo Realyvásquez Vargas is a full-time professor in the Department of Industrial Engineering at Tecnológico Nacional de Mexico/Instituto Tecnológico de Tijuana in Mexico. He received a Ph.D. in Engineering Sciences from the Autonomous University of Ciudad Juarez in Mexico and a Ph.D. in Innovation in Product Engineering and Industrial Process at the University of La Rioja (Spain). Dr. Realyvásquez is an author/coauthor of 20+ papers published in journals indexed in the Journal Citation Reports and has supervised more than twenty bachelor theses and five master theses. His main research areas are industrial process optimization, lean manufacturing, and ergonomics.

Jorge Luis García Alcaraz is a full-time researcher in the Industrial Engineering and Manufacturing Department at the Autonomous University of Ciudad Juarez in Mexico. He received a Ph.D. in Industrial Engineering Sciences from Ciudad Juárez Technological Institute (Mexico), a Ph.D. in Innovation in Product Engineering and Industrial Process from the University of La Rioja (Spain), a Ph.D. in Sciences and Industrial Technologies from the Public University of Navarre (Spain), a Ph.D. in Mechanical Engineering from the University of Zaragoza (Spain). Dr. García is an author/coauthor of 299 documents indexed in Scopus and has attended more than 150 international conferences. His main research areas are the multicriteria decision-making process and techniques applied to lean manufacturing, production processes, and supply chain modeling.

Suchismita Satapathy is an associate professor at the School of Mechanical Sciences, KIIT University, Bhubaneswar, India. She has published over 130 articles in national and international journals and conferences and has more than 15 years of teaching and research experience. She has guided many Ph.D. (two completed, four ongoing), MTech (20), and BTech (49) students. Dr. Satapathy has published two books and her research interests include production operation management, operation research, acoustics, sustainability, and supply chain management.

José Roberto Diaz-Reza has a master's degree in industrial engineering with a specialty in quality and a Ph.D. In innovation in product engineering and industrial processes from the University of La Rioja (Spain) and also a Ph.D. in advanced engineering sciences from the Autonomous University of Ciudad Juárez (Mexico). He has published a book and some articles in indexed journals related to lean manufacturing tools. Dr. Diaz-Reza has also participated in international congresses, and his areas of interest are optimizing industrial processes using Lean Manufacturing tools.

Bogart Yail Márquez Lobato is a full-time Professor-Researcher at the Instituto Tecnológico de Tijuana and a member of the Sistema Nacional de Investigadores (National System of Researchers). He completed postdoctoral studies at the Colegio de la Frontera Norte and earned a Doctor of Science degree from the Universidad Autónoma de Baja California. Additionally, he holds a master’s degree in applied economics and a Computer Engineering background. His areas of interest include Social Simulation, Neuroscience, and Artificial Intelligence applied to social issues.