Ai Driven Smart Industrial Technologies
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Ai Driven Smart Industrial Technologies
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Author : Habib, Maki K.
language : en
Publisher: IGI Global
Release Date : 2025-06-26
Ai Driven Smart Industrial Technologies written by Habib, Maki K. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-26 with Technology & Engineering categories.
Industries are being revolutionized though smart connectivity, connecting machines and computers to enhance automation, safety, and efficiency. Through the adoption of smart industrial technologies, industries are progressing towards greater sustainability. The trends in artificial intelligence (AI)-driven technologies point to global advances in quality and productivity. However, challenges still exist in strengthening the collaboration between humans and machines for Industry 5.0, including enhancing human augmentation while still prioritizing employee well-being. AI-Driven Smart Industrial Technologies examines the intersection of advanced technologies and sustainable practices in modern industries in different domains. It provides a distinct perspective on integrating AI, robotics, mechatronics, and Industries 4.0 and 5.0 principles, highlighting their collective impact on creating greener, more efficient, and smarter industrial processes. Covering topics such as 3D printing, human-machine collaboration, and cyber-physical systems, this book is an excellent resource for manufacturers, automation professionals, policymakers, technologists, engineers, computer scientists, environmental scientists, professionals, researchers, scholars, academicians, and more.
Digital Twin Driven Smart Manufacturing
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Author : Fei Tao
language : en
Publisher: Academic Press
Release Date : 2019-02-07
Digital Twin Driven Smart Manufacturing written by Fei Tao and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-07 with Technology & Engineering categories.
Digital Twin Driven Smart Manufacturing examines the background, latest research, and application models for digital twin technology, and shows how it can be central to a smart manufacturing process.The interest in digital twin in manufacturing is driven by a need for excellent product reliability, and an overall trend towards intelligent, and connected manufacturing systems. This book provides an ideal entry point to this subject for readers in industry and academia, as it answers the questions: (a) What is a digital twin? (b) How to construct a digital twin? (c) How to use a digital twin to improve manufacturing efficiency? (d) What are the essential activities in the implementation of a digital twin? (e) What are the most important obstacles to overcome for the successful deployment of a digital twin? (f) What are the relations between digital twin and New Technologies? (g) How to combine digital twin with the New Technologies to achieve high efficiency and smartness in manufacturing?This book focuses on these problems as it aims to help readers make the best use of digital twin technology towards smart manufacturing. - Analyzes the differences, synergies and possibilities for integration between digital twin technology and other technologies, such as big data, service and Internet of Things - Discuss new requirements for a traditional three-dimension digital twin and proposes a methodology for a five-dimension version - Investigates new models for optimized manufacturing, prognostics and health management, and cyber-physical fusion based on the digital twin
Recent Trends In Artificial Intelligence Towards A Smart World
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Author : Rajeev Arya
language : en
Publisher: Springer Nature
Release Date : 2024-09-09
Recent Trends In Artificial Intelligence Towards A Smart World written by Rajeev Arya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-09 with Business & Economics categories.
This book compiles artificial intelligence (AI) applications in new communication technologies such as the cognitive radio networks, internet of things (IoT), internet of drones (IoD), internet of vehicles (IoV), and autonomous underwater vehicles (AUV), which are expected to increase the amount of data traffic. Recognizing that AI is revolutionizing industries with its applications and helping us solve complex problems with ease, the book tackles a variety of industries and sectors such as agriculture, logistics, infrastructure, manufacturing, education, disaster management, transport, surveillance, and more. Contributions included in the book are useful for students, engineers (disciplines like telecommunication, mechanical and computer science, etc.), teachers, people studying and working for strategic, tactical and operational management. It is also useful for data scientists and anyone else who wants to have an insight into the impact of artificial intelligence on various industries. Due to its focus on healthcare and agriculture, the horizon of the book is enhanced to include healthcare industry personnels and agriculture sector. Additionally, it provides guidance for government personnel who are working towards system upgradation for managing dynamic traffic demands.
Artificial Intelligence For Smart Manufacturing And Industry X 0
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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.
Using Real Time Data And Ai For Thrust Manufacturing
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Author : Satishkumar, D.
language : en
Publisher: IGI Global
Release Date : 2024-03-28
Using Real Time Data And Ai For Thrust Manufacturing written by Satishkumar, D. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-28 with Computers categories.
In the dynamic world of manufacturing, the industry has grappled with ongoing issues such as expensive machine maintenance, operational inefficiencies, and the production of defective products. The need for informed decision-making to maintain quality, meet deadlines, and prevent disruptions is more crucial than ever. Enter Using Real-Time Data and AI for Thrust Manufacturing, a groundbreaking book that addresses these challenges head-on. As Industry 4.0 transforms the manufacturing sector through the integration of the Internet of Things (IoT) and artificial intelligence (AI), this book serves as a beacon for academic scholars and industry professionals alike, offering profound insights into the world of AI-driven industry solutions. The objective of this book is clear—to revolutionize the manufacturing sector by leveraging human expertise and AI-driven data technologies. By delving into the realms of Industry 4.0, IoT, and AI, the book systematically tackles issues such as costly downtime, inefficient processes, and the production of substandard products. With a focus on turning raw data into meaningful insights, the book explores AI applications like machine learning and deep learning, natural language processing, and machine vision. From predictive maintenance to improved demand forecasting, quality assurance, inspection, and warehouse automation, the book positions AI as the linchpin of "Industry 4.0," ensuring not only cost savings but also safety improvements and supply-chain efficiencies.
Intelligent Manufacturing
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Author : Navroop Kaur
language : en
Publisher: CRC Press
Release Date : 2025-03-13
Intelligent Manufacturing written by Navroop Kaur and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Computers categories.
The field of industrial engineering has undergone a transformation in recent years, driven by emerging technologies such as Artificial Intelligence (AI), Machine Learning, and the Internet of Things (IoT). To keep pace with these advancements, a shift toward AI-driven development has become a necessity. From case studies to national and international best practices, Intelligent Manufacturing: Exploring AI, Blockchain, and Smart Technologies in Industry 4.0 delves into the challenges of incorporating AI-driven frameworks and standards into the smart industry landscape. It explores the integration of these advanced technologies into Industry 4.0 and presents a comprehensive overview of their potential impact on industrial processes. Topics covered include security management, standard specifications, and sustainable manufacturing, highlighting the latest innovations in industrial engineering design. The book goes on to discuss the practical applications of AI-driven technologies in manufacturing, such as simulation, optimization, and sustainable development of industrial processes. A variety of real-world examples are offered, and a discussion of how these technologies are being deployed in different industries provides a clear understanding of their applications and benefits. This book is an essential guide for students, researchers, and industry professionals seeking to understand the evolving landscape of intelligent manufacturing and industrial engineering.
Smart Solutions For Industry And Business Growth
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Author : Siva Sathyanarayana Movva
language : en
Publisher: Cari Journals USA LLC
Release Date : 2024-09-02
Smart Solutions For Industry And Business Growth written by Siva Sathyanarayana Movva and has been published by Cari Journals USA LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-02 with Technology & Engineering categories.
TOPICS IN THE BOOK Efficient Water Management through Intelligent Digital Twins Surpassing $1 to $3 Million Revenue Threshold: Analyzing why Small Businesses Miss the Mark Digital Twin Technology for Smart Manufacturing Machine Learning Algorithms for Predictive Maintenance in Manufacturing The Role of Autonomous Vehicles in Urban Mobility Solutions
Artificial Intelligence Enabled Digital Twin For Smart Manufacturing
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Author : Amit Kumar Tyagi
language : en
Publisher: John Wiley & Sons
Release Date : 2024-09-11
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 2024-09-11 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.
Futuristic Technology For Sustainable Manufacturing
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Author : Singh, Sujit
language : en
Publisher: IGI Global
Release Date : 2024-07-17
Futuristic Technology For Sustainable Manufacturing written by Singh, Sujit and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Technology & Engineering categories.
In the manufacturing industry, a major concern persists—the historical entanglement of this sector with environmental issues. Climate change and resource depletion cast a shadow over traditional practices, demanding a paradigm shift. As our planet grapples with these challenges, the imperative for sustainable manufacturing practices becomes undeniable. Futuristic Technology for Sustainable Manufacturing addresses the environmental conundrums tied to manufacturing. This groundbreaking book delves into transformative technologies such as artificial intelligence, renewable energy integration, innovative materials, and the Internet of Things. By providing a profound analysis of these futuristic solutions, the book aims to guide academic scholars towards a comprehensive understanding of how these technologies can usher in a greener, more sustainable era in manufacturing. The urgent need for sustainable manufacturing practices is palpable, and this book rises to the occasion by providing a nuanced analysis of how these revolutionary technologies can propel the industry towards a greener future. From the role of artificial intelligence in smart manufacturing to sustainable materials applications, the book not only illuminates the current state of affairs but also sparks inspiration for a new generation of researchers, engineers, and entrepreneurs. As a persuasive call to action, the book empowers its readership to contribute actively to the ongoing transformation, fostering a resilient, ecologically responsible future where technology and sustainability harmonize.
Digital Technologies For Sustainability And Quality Control
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Author : Khalil, Afef
language : en
Publisher: IGI Global
Release Date : 2025-04-01
Digital Technologies For Sustainability And Quality Control written by Khalil, Afef and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-01 with Computers categories.
Digital technologies play a pivotal role in improving sustainability and quality control across various industries. By leveraging data analytics, artificial intelligence, and the Internet of Things (IoT), organizations can optimize resource management, reduce waste, and ensure compliance with environmental standards. Smart sensors can monitor energy usage and emission, enabling companies to implement corrective measures. In quality control, digital tools improve automation of inspection processes, providing precise data to enhance product consistency and reliability. Blockchain technology can improve traceability in supply chains, ensuring sustainable practices are followed from production to delivery. Businesses must explore and utilize these technologies to improve their operational efficiency while contributing to sustainable development. Digital Technologies for Sustainability and Quality Control examines the usefulness of digital technology in creating sustainable business practices and effective quality control. It addresses the positive environmental and economic effects of smart manufacturing and product development. This book covers topics such as waste management, data analytics, and environmental monitoring, and is a useful resource for business owners, computer engineers, environmental scientists, academicians, and researchers.