Artificial Intelligence in Industrial Engineering

The book explores how artificial intelligence is reshaping the theory and practice of industrial engineering. Rather than treating AI as a standalone technology, this book shows how intelligent methods can complement established engineering approaches to address increasingly complex industrial challenges. It examines practical applications including production planning and scheduling, predictive maintenance and smart manufacturing, supply chain management, quality control and machine vision, lean manufacturing, robotics and automation, decision support, and human factors and ergonomics. It also addresses key implementation challenges such as data quality, system integration, explainability, organizational change, ethics, governance, and the evolving role of the industrial engineer. With a strong emphasis on human-centered and responsible innovation, the book presents AI as an enhancement, not a replacement, of traditional industrial engineering tools. Designed for students, engineers, researchers, and professionals, it provides an accessible framework for using AI to build more adaptive, efficient, resilient, and responsible industrial systems.