Intelligent Maintenance And Monitoring Strategy For Smart Manufacturing Systems

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Advanced Manufacturing and Automation V

Author : K. Wang
Publisher : WIT Press
ISBN 13 : 1784661694
Total Pages : 453 pages
Book Rating : 4.7/5 (846 download)

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Book Synopsis Advanced Manufacturing and Automation V by : K. Wang

Download or read book Advanced Manufacturing and Automation V written by K. Wang and published by WIT Press. This book was released on 2016-02-03 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Manufacturing and Automation V contains the proceedings of the 5th International Workshop of Advanced Manufacturing and Automation (IWAMA 2015). This meeting continues the success of this important international workshop series and disseminates the works of academic and industrial experts, from around the world, in the areas of advanced manufacturing and automation. The disciplines of manufacturing and automation have attained paramount importance and are vital factors for the maintenance and improvement of the economy of a nation and the quality of life. Manufacturing and automation are advancing at a rapid pace and new technologies are constantly emerging in the fields. The challenges faced by today’s engineers are forcing them to keep on top of the emerging trends through continuous research and development. The papers comprising these proceedings cover various topics including: Robotics and automation; Computational intelligence; Design and optimization; Product life-cycle management; Integration of CAD/CAPP/CAM/CIMS; Advanced manufacturing systems; Manufacturing operations management; Knowledge-based manufacturing; Manufacturing quality control and management; Sustainable production; Diagnosis and prognosis of machines; Lean and agile manufacturing; Virtual and grid manufacturing; Resource and asset management; Logistics and supply chain management; RFID applications; Predictive maintenance; Reliability and maintainability in manufacturing; Project management; Renewable energy development; Environment protection; Intelligent detection.

Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing

Author : Amit Kumar Tyagi
Publisher : John Wiley & Sons
ISBN 13 : 1394303580
Total Pages : 628 pages
Book Rating : 4.3/5 (943 download)

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Book Synopsis Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing by : Amit Kumar Tyagi

Download or read book Artificial Intelligence-Enabled Digital Twin for Smart Manufacturing written by Amit Kumar Tyagi and published by John Wiley & Sons. This book was released on 2024-09-11 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Predictive Maintenance in Smart Factories

Author : Tania Cerquitelli
Publisher : Springer Nature
ISBN 13 : 9811629404
Total Pages : 239 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Predictive Maintenance in Smart Factories by : Tania Cerquitelli

Download or read book Predictive Maintenance in Smart Factories written by Tania Cerquitelli and published by Springer Nature. This book was released on 2021-08-26 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the outcome of the European project "SERENA", involving fourteen partners as international academics, technological companies, and industrial factories, addressing the design and development of a plug-n-play end-to-end cloud architecture, and enabling predictive maintenance of industrial equipment to be easily exploitable by small and medium manufacturing companies with a very limited data analytics experience. Perspectives and new opportunities to address open issues on predictive maintenance conclude the book with some interesting suggestions of future research directions to continue the growth of the manufacturing intelligence.

Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023)

Author : Andrew D. Ball
Publisher : Springer Nature
ISBN 13 : 3031494210
Total Pages : 1186 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) by : Andrew D. Ball

Download or read book Proceedings of the UNIfied Conference of DAMAS, IncoME and TEPEN Conferences (UNIfied 2023) written by Andrew D. Ball and published by Springer Nature. This book was released on with total page 1186 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Industry 4.0: Managing The Digital Transformation

Author : Alp Ustundag
Publisher : Springer
ISBN 13 : 3319578707
Total Pages : 293 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Industry 4.0: Managing The Digital Transformation by : Alp Ustundag

Download or read book Industry 4.0: Managing The Digital Transformation written by Alp Ustundag and published by Springer. This book was released on 2017-09-14 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive guide to Industry 4.0 applications, not only introducing implementation aspects but also proposing a conceptual framework with respect to the design principles. In addition, it discusses the effects of Industry 4.0, which are reflected in new business models and workforce transformation. The book then examines the key technological advances that form the pillars of Industry 4.0 and explores their potential technical and economic benefits using examples of real-world applications. The changing dynamics of global production, such as more complex and automated processes, high-level competitiveness and emerging technologies, have paved the way for a new generation of goods, products and services. Moreover, manufacturers are increasingly realizing the value of the data that their processes and products generate. Such trends are transforming manufacturing industry to the next generation, namely Industry 4.0, which is based on the integration of information and communication technologies and industrial technology.The book provides a conceptual framework and roadmap for decision-makers for this transformation

Smart Manufacturing Factory

Author : Jiafu Wan
Publisher : CRC Press
ISBN 13 : 1000999599
Total Pages : 471 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Smart Manufacturing Factory by : Jiafu Wan

Download or read book Smart Manufacturing Factory written by Jiafu Wan and published by CRC Press. This book was released on 2023-12-28 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Kim Phuc Tran
Publisher : Springer Nature
ISBN 13 : 3031305108
Total Pages : 271 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Artificial Intelligence for Smart Manufacturing by : Kim Phuc Tran

Download or read book Artificial Intelligence for Smart Manufacturing written by Kim Phuc Tran and published by Springer Nature. This book was released on 2023-06-01 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing

Author : Amit Kumar Tyagi
Publisher : CRC Press
ISBN 13 : 1040151396
Total Pages : 419 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing by : Amit Kumar Tyagi

Download or read book Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing written by Amit Kumar Tyagi and published by CRC Press. This book was released on 2024-10-23 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries. Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing provides an extensive and in-depth exploration of the intersection of data analytics, artificial intelligence, and predictive maintenance in the manufacturing industry and covers fundamental concepts, advanced techniques, case studies, and practical applications. Using a multidisciplinary approach, this book recognizes that predictive maintenance in manufacturing requires collaboration among engineers, data scientists, and business professionals and includes case studies from various manufacturing sectors showcasing successful applications of predictive maintenance. The real-world examples explain the useful benefits and ROI achieved by organizations. The emphasis is on scalability, making it suitable for both small and large manufacturing operations, and readers will learn how to adapt predictive maintenance strategies to different scales and industries. This book presents resources and references to keep readers updated on the latest advancements, tools, and trends, ensuring continuous learning. Serving as a reference guide, this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields.

Intelligent Manufacturing Systems in Industry 4.0

Author : B. B. V. L. Deepak
Publisher : Springer Nature
ISBN 13 : 9819916658
Total Pages : 713 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Intelligent Manufacturing Systems in Industry 4.0 by : B. B. V. L. Deepak

Download or read book Intelligent Manufacturing Systems in Industry 4.0 written by B. B. V. L. Deepak and published by Springer Nature. This book was released on 2023-06-30 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the select proceedings of the 4th International Conference on Innovative Product Design and Intelligent Manufacturing System (IPDIMS 2022). It covers the latest trends in the areas of design and manufacturing. The main topics covered include Industry 4.0, smart manufacturing, advanced robotics, and CAD/CAM/CIM. The contents of this book are useful for researchers and professionals working in the disciplines of mechatronics, mechanical, manufacturing, production, and industrial engineering.

Smart Manufacturing

Author : Masoud Soroush
Publisher : Elsevier
ISBN 13 : 0128203811
Total Pages : 530 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Smart Manufacturing by : Masoud Soroush

Download or read book Smart Manufacturing written by Masoud Soroush and published by Elsevier. This book was released on 2020-08-04 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research efforts in the past decade have led to considerable advances in the concepts and methods of smart manufacturing. Smart Manufacturing: Applications and Case Studies includes information about the key applications of these new methods, as well as practitioners' accounts of real-life applications and case studies. Written by thought leaders in the field from around the world, Smart Manufacturing: Applications and Case Studies is essential reading for graduate students, researchers, process engineers and managers. It is complemented by a companion book titled Smart Manufacturing: Concepts and Methods, which describes smart manufacturing methods in detail. - Includes examples of applications of smart manufacturing in process industries - Provides a thorough overview of the subject and practical examples of applications through well researched case studies - Offers insights and accounts of first-hand experiences to motivate further implementations of the key concepts of smart manufacturing

Integrated Reconfigurable Manufacturing Systems and Smart Value Chain

Author : M. Reza Abdi
Publisher : Springer
ISBN 13 : 3319768468
Total Pages : 304 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Integrated Reconfigurable Manufacturing Systems and Smart Value Chain by : M. Reza Abdi

Download or read book Integrated Reconfigurable Manufacturing Systems and Smart Value Chain written by M. Reza Abdi and published by Springer. This book was released on 2018-05-30 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book develops manufacturing concepts and applications beyond physical production and towards a wider manufacturing value chain incorporating external stakeholders that include suppliers of raw materials and parts, customers, collaborating manufacturing companies, manufacturing service providers, and environmental organisations. The focal point of the value chain remains as a manufacturing system and its operations whiles flows of parts/materials and information and services across the supply/value chain tiers are taken into account. The book emphasises on the two innovative paradigms of Reconfigurable Manufacturing Systems (RMS) and the 4th industrial revolution (Industry 4.0) along with their incorporated development. RMS, as a relatively new paradigm, has been introduced to meet the requirements of ‘the factories of the future’, which is aimed by Industry 4.0, though introducing greater responsiveness and customised flexibility into production systems, in which changes in product volumes and types occur regularly. Manufacturing responsiveness can be achieved by RMS through reconfiguring the production facilities according to changing demands of products and new market conditions. The book addresses challenges of mass-customisation and dynamic changes in the supply-chain environment by focusing on developing new techniques related to integrability, scalability and re-configurability at a system level and manufacturing readiness in terms of financial and technical feasibility of RMS. It demonstrate the expected impacts of an RMS design on operational performance and its supply/value chain in the current/future manufacturing environment facing dynamic changes in the internal/external circumstances. In order to establish a circular economy through the RMS value chain, an integrated data-based reconfiguration link is introduced to incorporate information sharing amongst the value chain stakeholders and facilitate grouping products into families with allocation of the product families to the corresponding system configurations with optimal product-process allocation. Decision support systems such as multi criteria decision making tools are developed and applied for the selection of product families and optimising product-process configuration. The proposed models are illustrated through real case studies in applicable manufacturing firms.

Digital Manufacturing and Assembly Systems in Industry 4.0

Author : Kaushik Kumar
Publisher : CRC Press
ISBN 13 : 0429876610
Total Pages : 162 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Digital Manufacturing and Assembly Systems in Industry 4.0 by : Kaushik Kumar

Download or read book Digital Manufacturing and Assembly Systems in Industry 4.0 written by Kaushik Kumar and published by CRC Press. This book was released on 2019-07-03 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manufacturing, like other industries, is rising to the challenges imposed by aggressive consumer demands and the need for cost-effective processing that delivers quality in the fastest possible time. Fierce competition means that keeping abreast of new developments and applications in technology is essential if companies are to meet demands profitably and keep ahead of competitors. This book investigates the design and management of digital manufacturing and assembly systems for an efficient, flexible, and modular production of customized products using the I40 (industry 4.0)-enabling technologies. This book will also provide case studies covering modeling, simulation, and optimization. eBook includes color figures. Discusses how the advancement of data communication and storage through the Internet of Things (IoT) opens the possibilities of connecting sensors, robots, and devices Sheds light on how the human role in industry is decreasing due to the development of connected manufacturing floors, allowing them to take more control over the manufacturing processes, decisions, and even maintenance Covers the benefits from exploiting digital manufacturing, manufacturing enterprises, and what they expect to achieve Explains the important roles that modeling, simulation, and optimization play Investigates the design and management of digital manufacturing and assembly systems for an efficient, flexible, and modular production of customized products exploiting the I40 (industry 4.0)-enabling technologies

Artificial Intelligence for Internet of Things

Author : N. Thillaiarasu
Publisher : CRC Press
ISBN 13 : 100077905X
Total Pages : 358 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Artificial Intelligence for Internet of Things by : N. Thillaiarasu

Download or read book Artificial Intelligence for Internet of Things written by N. Thillaiarasu and published by CRC Press. This book was released on 2022-12-26 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text comprehensively discusses the essentials of the Internet of Things (IoT), machine learning algorithms, industrial and medical IoT, robotics, data analytics tools, and technologies for smart cities. It further covers fundamental concepts, advanced tools, and techniques, along with the concept of energy-efficient systems. It also highlights software and hardware interfacing into the IoT platforms and systems for better understanding. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Features: Covers cognitive Internet of Things and emerging network, IoT in robotics, smart cities, and health care Discusses major issues in the field of the IoTsuch as scalable and secure issues, energy-efficient, and actuator devices Highlights the importance of industrial and medical IoT Illustrates applications of the IoT in robotics, smart grid, and smart cities Presents real-time examples for better understanding The text comprehensively discusses design principles, modernization techniques, advanced developments in artificial intelligence.This will be helpful for senior undergraduates, graduate students, and academic researchers in diverse engineering fields including electrical, electronics and communication, and computer science.

Industrial AI

Author : Jay Lee
Publisher : Springer Nature
ISBN 13 : 9811521441
Total Pages : 176 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Industrial AI by : Jay Lee

Download or read book Industrial AI written by Jay Lee and published by Springer Nature. This book was released on 2020-02-07 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces Industrial AI in multiple dimensions. Industrial AI is a systematic discipline which focuses on developing, validating and deploying various machine learning algorithms for industrial applications with sustainable performance. Combined with the state-of-the-art sensing, communication and big data analytics platforms, a systematic Industrial AI methodology will allow integration of physical systems with computational models. The concept of Industrial AI is in infancy stage and may encompass the collective use of technologies such as Internet of Things, Cyber-Physical Systems and Big Data Analytics under the Industry 4.0 initiative where embedded computing devices, smart objects and the physical environment interact with each other to reach intended goals. A broad range of Industries including automotive, aerospace, healthcare, semiconductors, energy, transportation, mining, construction, and industrial automation could harness the power of Industrial AI to gain insights into the invisible relationship of the operation conditions and further use that insight to optimize their uptime, productivity and efficiency of their operations. In terms of predictive maintenance, Industrial AI can detect incipient changes in the system and predict the remains useful life and further to optimize maintenance tasks to avoid disruption to operations.

Smart Electrical and Mechanical Systems

Author : Rakesh Sehgal
Publisher : Academic Press
ISBN 13 : 0323914411
Total Pages : 316 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Smart Electrical and Mechanical Systems by : Rakesh Sehgal

Download or read book Smart Electrical and Mechanical Systems written by Rakesh Sehgal and published by Academic Press. This book was released on 2022-06-22 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Electrical and Mechanical Systems: An Application of Artificial Intelligence and Machine Learning is an international contributed work with the most up-to-date fundamentals and conventional methods used in smart electrical and mechanical systems. Detailing methods and procedures for the application of ML and AI, it is supported with illustrations of the systems, process diagrams visuals of the systems and/or their components, and supportive data and results leading to the benefits and challenges of the relevant applications. The multidisciplinary theme of the book will help researchers build a synergy between electrical and mechanical engineering systems. The book guides readers on not only how to effectively solve problems but also provide high accuracy needed for successful implementation. Interdisciplinary in nature, the book caters to the needs of the electrical and mechanical engineering industry by offering details on the application of AI and ML in robotics, design and manufacturing, image processing, power system operation and forecasting with suitable examples. - Includes significant case studies related to application of Artificial Intelligence and Machine Learning in Energy and Power, Mechanical Design and Manufacturing - Contains supporting illustrations and tables, along with a valuable set of references at the end of each chapter - Provides original, state-of-the-art research material written by international and national respected contributors

Advanced Manufacturing in Biological, Petroleum, and Nanotechnology Processing

Author : Augustine O. Ayeni
Publisher : Springer Nature
ISBN 13 : 3030958205
Total Pages : 360 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Advanced Manufacturing in Biological, Petroleum, and Nanotechnology Processing by : Augustine O. Ayeni

Download or read book Advanced Manufacturing in Biological, Petroleum, and Nanotechnology Processing written by Augustine O. Ayeni and published by Springer Nature. This book was released on 2022-05-03 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers advanced manufacturing in biological, petroleum, and nanotechnology processing for the development of novel products and systems that incorporate enhanced pollution control and waste management for environmental remediation. The book is divided into three parts. The first section looks at the design and application of process systems, the second section focuses largely on pollution control and management, and the final section discusses areas related to process modeling and simulation. Coverage highlights the integration of smart tools and solutions and looks at current advances in monitoring industrial and environmental processes that can assist in making significant progress in process design for the effective control of pollution and waste management.

Futuristic Manufacturing

Author : Mithilesh K. Dikshit
Publisher : CRC Press
ISBN 13 : 1000852121
Total Pages : 194 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Futuristic Manufacturing by : Mithilesh K. Dikshit

Download or read book Futuristic Manufacturing written by Mithilesh K. Dikshit and published by CRC Press. This book was released on 2023-03-27 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increased industrial capacity, manufacturing output, and manufacturing technology all contribute significantly to a country's GDP. Manufacturing is the foundation of industrial production, so improving its methods and infrastructure is crucial for progress. Recent years have seen the introduction of a wide range of energy- and resource-efficient, environmentally friendly, and occupationally safe manufacturing techniques, and this book focuses on these latest techniques, as well as continuous advancement, in order to meet current challenges. The book is divided into three sections: (1) subtractive manufacturing, (2) additive manufacturing, and (3) the use of artificial intelligence in manufacturing. It discusses micromaching, metal-based additive manufacturing, polymer-based additive manufacturing, hybrid additive manufacturing, and finally artificial intelligence in manufacturing. Futuristic Manufacturing: Perpetual Advancement and Research Challenges connects modern manufacturing methods and emerging trends in the industry. It adds a thorough examination of modern manufacturing techniques and modifications that may be implemented in the future, and is an excellent resource of information for undergraduate and graduate students in manufacturing.