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Intelligent Manufacturing and Industrial Engineering


About the Series

Intelligent manufacturing is a general concept that is under continuous development. It can be categorized into three basic paradigms: digital manufacturing, digital-networked manufacturing, and new generation intelligent manufacturing. New-generation intelligent manufacturing represents an in-depth integration of new-generation, new information and communication technology, intelligent science and technology, artificial intelligence (AI) technology, and advanced manufacturing technology. It runs through every link in the full life-cycle of manufacturing thus uses autonomous sensing, inter-connection, collaboration, learning, analysis, cognition, decision-making, control, and the execution of human, machine, material, and environmental information to enable the integration and optimization of various aspects of a manufacturing enterprise or group.

This new book series will offer books that cover new developments and advances in the areas of Intelligent Manufacturing and Industrial Engineering and will include theories, methods, and applications of smart manufacturing embedded in the fields of engineering and computer science as well as the cross-disciplinary fields that relate, but still have a firm footing in Manufacturing and Industrial Engineering topics. The series will include monographs and edited volumes spanning the areas of smart manufacturing, industrial Engineering, edge computing, supercomputing, Internet-based, service-oriented, collaborative, customizable, flexible, and socialized intelligent manufacturing systems that are used to facilitate production and provide services to users.

If you are interested in writing or editing a book for the series or would like more information, please contact Cindy Carelli, [email protected].

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Technology Innovation Pillars for Industry 4.0 Challenges, Improvements, and Case Studies

Technology Innovation Pillars for Industry 4.0: Challenges, Improvements, and Case Studies

1st Edition

Forthcoming

Edited By Ahmed A. Elngar, N. Thillaiarasu, T. Saravanan, Valentina Emilia Balas
July 03, 2024

Technology Innovation Pillars for Industry 4.0: Challenges, Improvements, and Case Studies discusses the latest innovations in the application of technologies to Industry 4.0 and the nine pillars and how they relate, support, and bridge the gap between the digital and physical worlds we live in. ...

AI-Driven Digital Twin and Industry 4.0 A Conceptual Framework with Applications

AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications

1st Edition

Forthcoming

Edited By Sita Rani, Pankaj Bhambri, Sachin Kumar, Piyush Kumar Pareek, Ahmed A. Elngar
June 19, 2024

This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on smart manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI ...

Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things

Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things

1st Edition

Edited By Pankaj Bhambri, Sita Rani, Valentina E. Balas, Ahmed A. Elngar
December 22, 2023

Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things describes how AI techniques, such as deep learning, cognitive computing, and Machine Learning, can be used to analyze massive volumes of data produced by IoT devices in manufacturing environments. ...

Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing Theoretical Basics, Applications, and Challenges

Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing: Theoretical Basics, Applications, and Challenges

1st Edition

Edited By Om Prakash Jena, Sabyasachi Pramanik, Ahmed A. Elngar
June 22, 2022

This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity. This book ...

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