Home eBooks Download › smart manufacturing with artificial intelligence

Smart Manufacturing With Artificial Intelligence

Download Smart Manufacturing With Artificial Intelligence PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Smart Manufacturing With Artificial Intelligence book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Smart Manufacturing

DOWNLOAD
Author : Tan Yen Kheng
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-01-14

Smart Manufacturing written by Tan Yen Kheng and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-14 with Technology & Engineering categories.

Smart manufacturing uses big data, the Internet of things (IoT) and the Internet of Services (IoS), and flexible and dynamic workforces to cope with ever-increasing demand in low-volume, high-mix production. Companies worldwide are already pivoting towards dynamic and reconfigurable production as a smarter way to build and make things. As such, this book discusses the next generation of manufacturing, which will involve the transformational convergence of intelligent machines, powerful computing and analytics, and unprecedented networking of people, products, and services.

Smart Manufacturing Factory

DOWNLOAD
Author : Jiafu Wan
language : en
Publisher: CRC Press
Release Date : 2023-12-28

Smart Manufacturing Factory written by Jiafu Wan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-28 with Technology & Engineering categories.

Artificial Intelligence (AI) technologies enable manufacturing systems to sense the environment, adapt to external needs, and extract process knowledge, including business models such as intelligent production, networked collaboration, and extended service models. This book therefore focuses on the implementation of AI in customized manufacturing (CM). The main topics include edge intelligence in manufacturing, heterogeneous networks, intelligent fault diagnosis and maintenance, dynamic resource scheduling in manufacturing, and the construction mode of the smart factory. Based on the insights of CM and AI, the authors demonstrate the implementation of AI in the smart factory for CM, including architecture, information fusion, data analysis, dynamic scheduling, flexible production line construction, and smart manufacturing services. This book will provide important research content for scholars in artificial intelligence, smart manufacturing, machine learning, multi-agent systems, and industrial Internet of Things.

Artificial Intelligence For Smart Manufacturing And Industry X 0

DOWNLOAD
Author : M. M. Manjurul Islam
language : en
Publisher:
Release Date : 2025-02-15

Artificial Intelligence For Smart Manufacturing And Industry X 0 written by M. M. Manjurul Islam and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-15 with Computers categories.

Artificial Intelligence For Smart Manufacturing

DOWNLOAD
Author : Kim Phuc Tran
language : en
Publisher: Springer Nature
Release Date : 2023-06-01

Artificial Intelligence For Smart Manufacturing written by Kim Phuc Tran and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-01 with Technology & Engineering categories.

This book provides readers with a comprehensive overview of the latest developments in the field of smart manufacturing, exploring theoretical research, technological advancements, and practical applications of AI approaches. With Industry 4.0 paving the way for intelligent systems and innovative technologies to enhance productivity and quality, the transition to Industry 5.0 has introduced a new concept known as augmented intelligence (AuI), combining artificial intelligence (AI) with human intelligence (HI). As the demand for smart manufacturing continues to grow, this book serves as a valuable resource for professionals and practitioners looking to stay up-to-date with the latest advancements in Industry 5.0. Covering a range of important topics such as product design, predictive maintenance, quality control, digital twin, wearable technology, quantum, and machine learning, the book also features insightful case studies that demonstrate the practical application of these tools in real-world scenarios. Overall, this book provides a comprehensive and up-to-date account of the latest advancements in smart manufacturing, offering readers a valuable resource for navigating the challenges and opportunities presented by Industry 5.0.

Applied Ai And Multimedia Technologies For Smart Manufacturing And Cps Applications

DOWNLOAD
Author : Oyekanlu, Emmanuel
language : en
Publisher: IGI Global
Release Date : 2023-04-03

Applied Ai And Multimedia Technologies For Smart Manufacturing And Cps Applications written by Oyekanlu, Emmanuel and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-03 with Computers categories.

In the past decade, artificial intelligence (AI), data analytics, and multimedia technology methods for integrating cyber-physical systems (CPS), smart manufacturing, and Industry 4.0 applications in the manufacturing industries have been steadily growing in availability. However, for industrial leaders, finding applicable, cost effective, and readily implementable multimedia, AI, and data analytics methods for industrial applications remains a daunting, laborious, and very expensive endeavor since the ecosystem of these technologies keeps diverging. Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications provides a review of the state of the art regarding the integration of AI and multimedia technologies for smart manufacturing applications. It conducts a cost-benefit analysis regarding the benefits of the integration of specific AI and multimedia technologies in specific industrial manufacturing applications. Covering topics such as cognitive lead measurement, nonlinear filtering methods, and global product development, this premier reference source is a dynamic resource for business executives and managers, entrepreneurs, IT professionals, manufacturers, students and faculty of higher education, researchers, and academicians.

Artificial Intelligence For Smart Manufacturing And Industry X 0

DOWNLOAD
Author : M. M. Manjurul Islam
language : en
Publisher: Springer Nature
Release Date : 2025-03-05

Artificial Intelligence For Smart Manufacturing And Industry X 0 written by M. M. Manjurul Islam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Technology & Engineering categories.

This book offers a foundational understanding of smart manufacturing (SM) and introduces effective AI methods tailored for smart manufacturing, including supervised, unsupervised, and reinforcement learning techniques. It also features real-world industrial case studies that demonstrate the practical applications of smart manufacturing. Drawing from the invaluable experiences gleaned from the aviation, healthcare, and semiconductors industries, this book provides an in-depth understanding of how AI is driving transformative changes in the manufacturing landscape. In the era of rapid technological advancements, the integration of AI into manufacturing processes has emerged as a game-changer. This book serves as an indispensable guide for navigating this transformation, presenting readers with a multidimensional perspective on the diverse applications, challenges, and opportunities that AI brings to the manufacturing sector. The book explores the emergence of Large Language Models (LLMs) as a valuable tool in manufacturing. It presents how LLMs, especially the GPT series, can process and generate textual data, offering potential applications in areas like smart manufacturing and big-data analysis. It contains detailed case studies, illustrating the practical implementation of smart manufacturing in different industries. The aviation, healthcare, automotive, and semiconductors sectors are examined, highlighting tangible benefits, challenges faced, and lessons learned from each domain. The book addresses the future prospects of Industry 4.0 and beyond—the interconnected, data-driven evolution of manufacturing. It examines the potential impact of emerging technologies such as the Industrial Internet of Things (IIoT), 5G, and advanced robotics on the manufacturing landscape. Challenges and future possibilities pertaining to research and advancement in smart manufacturing within the domains of Aviation, Semiconductors, and Healthcare sectors are also discussed. The chapters are written in a tutorial style to allow early-career researchers and industry practitioners an in-depth understanding of the various topics. The book serves as a reference for researchers, engineers, and students seeking to understand the synergy between AI, Industry 4.0, LLMs, and real-world applications.

Artificial Intelligence Enabled Digital Twin For Smart Manufacturing

DOWNLOAD
Author : Amit Kumar Tyagi
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-15

Artificial Intelligence Enabled Digital Twin For Smart Manufacturing written by Amit Kumar Tyagi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Computers categories.

An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.

Smart Manufacturing With Artificial Intelligence

DOWNLOAD
Author : Jake Krakauer
language : en
Publisher: Computer and Automated Systems Association of Sme
Release Date : 1987

Smart Manufacturing With Artificial Intelligence written by Jake Krakauer and has been published by Computer and Automated Systems Association of Sme this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.

Artificial Intelligence For Smart Manufacturing

DOWNLOAD
Author : Kim Phuc Tran
language : en
Publisher:
Release Date : 2023

Artificial Intelligence For Smart Manufacturing written by Kim Phuc Tran and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.

Enabling Systems For Intelligent Manufacturing In Industry 4 0

DOWNLOAD
Author : Arturo Molina
language : en
Publisher: Springer Nature
Release Date : 2021-02-08

Enabling Systems For Intelligent Manufacturing In Industry 4 0 written by Arturo Molina and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-08 with Technology & Engineering categories.

This book introduces the concept of sensing, smart and sustainable systems (S3 systems) to support the design and redesign of products, services, business and manufacturing processes, manufacturing systems, and enterprises. The concept of S3 systems theory is introduced and explained in detail to support designers and engineers in their development task. This approach is embraced in the implementation of emergent Information and communication technologies and artificial intelligence techniques. The text helps the reader to understand the relationship between intelligent manufacturing, S3 systems and Industry 4.0. It presents a review of current approaches to design and development of technology-based products. Finally, it enlarges on the sensing, smart and sustainable systems theory to give examples of S3 systems as case studies.

Smart Manufacturing With Artificial Intelligence

Recent Posts