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Digital Twins in Manufacturing: Applications and Case Studies is written by Masoud Soroush and published by Elsevier. It's available with International Standard Book Number or ISBN identification 0443332215 (ISBN 10) and 9780443332210 (ISBN 13).
Digital Twins in Manufacturing: Applications and Case Studies explores digital twin technologies, demonstrating how digital twins enhance manufacturing processes, optimize efficiency, and facilitate informed decision-making. By bridging the gap between theoretical knowledge and practical implementation, the book equips professionals with the tools needed to leverage digital twins for improved product quality and operational effectiveness. The book covers a wide array of topics, including digital twins for biomanufacturing, polymerization processes, additive manufacturing, and energy industries. Readers will find detailed discussions on predictive maintenance, process optimization, and the integration of AI and IoT strategies. Each chapter presents actionable insights and step-by-step implementation guides, addressing real-world challenges and showcasing successful applications in smart factories and high-risk environments. Digital Twins in Manufacturing: Applications and Case Studies is an essential resource for engineers, manufacturing professionals, data scientists, and business leaders seeking to harness the power of digital twin technology. By providing practical use cases and future trends, this book empowers readers to drive innovation, enhance sustainability, and improve worker safety in their organizations.• Includes real-world case studies• Presents a step-by-step implementation guide• Outlines predictive maintenance and process optimization techniques• Discusses AI and IoT integration strategies• Forecasts future trends and innovations in digital twin technology