This book presents a series of applications of different techniques found in Industry 4.0 with relation to productivity, continuous improvement, quality, decision systems, software development, and automation systems. The techniques used throughout this book allow the reader to replicate the results obtained towards different types of companies that wish to undertake in the new era of the digital industrial revolution. This book can also help students from different areas of engineering to understand how the use of new technologies is applied to solve current relevant problems and how they give the possibility of constant innovation in the different industrial sectors. This is accomplished through the analysis of illustrative case studies, descriptive methodologies and structured insights that are provided through the different considered techniques.

Dr. Luis Carlos Méndez-González is a research professor at the Autonomous University of Ciudad Juarez. He is recognized by the National Research Systems in México and has several years of experience in the automotive, medical, and manufacturing industries. His research areas and publications include reliability analysis, statistical modeling, automation, and Industry 4.0. Dr. Luis Alberto Rodríguez-Picón is a researcher-professor in the Autonomous University of Ciudad Juarez. He is recognized by the National Research Systems in México and has several years of experience in the automotive industry. His areas of interest include statistical modeling, applied statistics, and stochastic modeling. He has published several research papers in important research journals in areas related to statistical modeling. Dr. Iván Juan Carlos Pérez Olguín is a researcher-professor at the Autonomous University of Ciudad Juarez. He is recognized by the National Research Systems in México and has several years of experience in the automotive industry. His contribution to the industry includes patents and software developments. His areas of interest include operation research, robust optimization, multi-criteria decision-making, lean manufacturing, stochastic modeling, and process improvement. He has published several research papers in important research journals related to industrial engineering.