AI in Manufacturing: A Pragmatic Guide to Industrial Artificial Intelligence (Manufacturing Leadership Series)

Artificial intelligence is rapidly becoming a practical tool in modern manufacturing, but many organizations struggle to move from concept to real, sustainable implementation.AI in Manufacturing is a pragmatic guide for engineers, production managers, planners, and decision-makers who want to understand how artificial intelligence can be applied in real industrial environments without hype, unrealistic promises, or unnecessary complexity.The book focuses on practical implementation rather than theory. It explains how AI integrates with existing production systems, how data should be structured and governed, and how organizations can introduce AI gradually while maintaining control, safety, and accountability.Readers will learn how to:– identify suitable processes for AI adoption– prepare and structure manufacturing data– design robust AI system architectures– implement AI in phased, low-risk steps– integrate AI with MES, ERP, and SCADA systems– manage human factors, risks, and organizational change– maintain and continuously improve AI solutions over timeThe book is based on real manufacturing experience and addresses the realities of shop-floor environments, including variability, legacy systems, and operational constraints. It emphasizes disciplined data management, controlled automation, and the central role of people in intelligent manufacturing.AI in Manufacturing is not a theoretical textbook. It is a practical framework for building intelligent, resilient, and scalable production systems step by step.If you are looking for a realistic, experience-based approach to artificial intelligence in production, this book provides the clarity and structure needed to move forward with confidence. Read more