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A Perspective On Artificial Intelligence In Manufacturing
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Book Synopsis A Perspective on Artificial Intelligence in Manufacturing by : George Chryssolouris
Download or read book A Perspective on Artificial Intelligence in Manufacturing written by George Chryssolouris and published by Springer Nature. This book was released on 2023-01-01 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates the rapid developments of Artificial intelligence (AI) as well as their capability to address efficiently and in a cost-effective manner issues of the manufacturing field. A number of manufacturing applications of AI related to manufacturing processes, robots, automation and manufacturing systems design and control, are presented and discussed. The book includes an outlook on a way forward to intelligent manufacturing, through AI. The real benefit from AI in manufacturing will not only derive through the automation of tasks but also through the provision of new levels of autonomy that will make entirely new applications possible and introduce new business processes in manufacturing.
Book Synopsis The Future Computed - AI and Manufacturing by : Greg Shaw
Download or read book The Future Computed - AI and Manufacturing written by Greg Shaw and published by . This book was released on 2019-05-23 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The Future Computed: AI and Manufacturing is the next book in Microsoft's The Future Computed series looking at the impact of AI on society. The book features stories from industry leaders and policymakers from around the world, sharing insights into how customers can progress their AI journey. IT also sets out suggestions about how countries can build competitive manufacturing sectors while delivering AI and addressing short-term disruption.
Book Synopsis Artificial Intelligence in Industry 4.0 by : Alexiei Dingli
Download or read book Artificial Intelligence in Industry 4.0 written by Alexiei Dingli and published by Springer Nature. This book was released on 2021-02-27 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.
Book Synopsis Artificial Intelligence in Manufacturing by : John Soldatos
Download or read book Artificial Intelligence in Manufacturing written by John Soldatos and published by Springer. This book was released on 2024-01-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers’ training, supply chain management, as well as various production optimization scenarios. This is an open access book.
Book Synopsis Topics in Artificial Intelligence Applied to Industry 4.0 by : Mahmoud Ragab AL-Refaey
Download or read book Topics in Artificial Intelligence Applied to Industry 4.0 written by Mahmoud Ragab AL-Refaey and published by John Wiley & Sons. This book was released on 2024-07-15 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.
Book Synopsis AI in Manufacturing and Green Technology by : Sambit Kumar Mishra
Download or read book AI in Manufacturing and Green Technology written by Sambit Kumar Mishra and published by CRC Press. This book was released on 2020-10-20 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on environmental sustainability by employing elements of engineering and green computing through modern educational concepts and solutions. It visualizes the potential of artificial intelligence, enhanced by business activities and strategies for rapid implementation, in manufacturing and green technology. This book covers utilization of renewable resources and implementation of the latest energy-generation technologies. It discusses how to save natural resources from depletion and illustrates facilitation of green technology in industry through usage of advanced materials. The book also covers environmental sustainability and current trends in manufacturing. The book provides the basic concepts of green technology, along with the technology aspects, for researchers, faculty, and students.
Book Synopsis Design and Implementation of Intelligent Manufacturing Systems by : Mohammed Jamshidi
Download or read book Design and Implementation of Intelligent Manufacturing Systems written by Mohammed Jamshidi and published by Pearson Education. This book was released on 1995-05-24 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: The introduction of artificial intelligence, neural networks, and fuzzy logic into industry has given a new perspective to manufacturing processes in the U.S. and abroad. To help readers keep pace, this book addresses topics of intelligent manufacturing from a variety of theoretical, empirical, design, and implementation perspectives.
Book Synopsis Applications of Artificial Intelligence in Additive Manufacturing by : Sachin Salunkhe
Download or read book Applications of Artificial Intelligence in Additive Manufacturing written by Sachin Salunkhe and published by Engineering Science Reference. This book was released on 2021-10-30 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides introductory instruction on how to learn how to use artificial intelligence to produce additively manufactured parts, including a description of the starting points, what you can know, how it blends and how artificial intelligence in additive manufacturing apply"--
Download or read book The Future Computed written by and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Reinventing Manufacturing and Business Processes Through Artificial Intelligence by : Geeta Rana
Download or read book Reinventing Manufacturing and Business Processes Through Artificial Intelligence written by Geeta Rana and published by CRC Press. This book was released on 2021-12-14 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book describes how newly emerging Artificial Intelligence (AI) technologies will provide unprecedented opportunities to penetrate technology and automation into everything we do, and at the same time, provide a huge playing field for businesses to develop newer models to capture market share. It establishes a milestone in understanding global transformational changes occurring in the manufacturing and corporate world due to AI and tries to find powerful and sophisticated solutions that will improve and streamline operations. Reinventing Manufacturing and Business Processes Through Artificial Intelligence will be of interest to students, researchers, and professionals of the AI community as well as interdisciplinary researchers.
Book Synopsis Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry by : Valentina Colla
Download or read book Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry written by Valentina Colla and published by Springer Nature. This book was released on 2021-02-04 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects perceptions and needs expectations and experiences concerning the application of Artificial Intelligence (AI) and Machine Learning in the steel sector. It contains a selection of themes discussed within the Workshop entitled “Impact and Opportunities of Artificial Intelligence in the Steel Industry” organized by the European Steel Technology Platform as an online event from October 15 until November 5, 2020. The event aimed at analyzing the diffusion of AI technologies in steelworks and at providing indications for future research, development and innovation actions addressing the sector demands. The chapters treat general analyses on transversal themes and applications for process optimization, product quality enhancement, yield increase, optimal exploitation of resources and smart data handling. The book is devoted to researchers and technicians in the steel or AI fields as well as for managers and policymakers exploring the opportunities provided by AI in industry.
Book Synopsis Artificial Intelligence WILL Revolutionize Manufacturing by : Markus Guerster
Download or read book Artificial Intelligence WILL Revolutionize Manufacturing written by Markus Guerster and published by Independently Published. This book was released on 2024-02-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In "Artificial Intelligence WILL Revolutionize Manufacturing," Markus offers a concise yet profound exploration of how Artificial Intelligence is set to transform the manufacturing industry. Drawing from his own experiences and deep understanding of AI, Markus effectively demystifies the concept of Industry 4.0. The book focuses on the Industry 4.0 Flywheel, a model demonstrating how continuous improvement and innovation can be achieved through AI and Machine Learning. Markus provides actionable steps for manufacturers to integrate AI into their processes, emphasizing the technology's transformative potential. This guide is not just informative but a compelling invitation to industry professionals to embrace AI and drive a revolution in manufacturing.
Book Synopsis New Trends in the Use of Artificial Intelligence for the Industry 4.0 by : Luis Romeral Martinez
Download or read book New Trends in the Use of Artificial Intelligence for the Industry 4.0 written by Luis Romeral Martinez and published by BoD – Books on Demand. This book was released on 2020-03-25 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry 4.0 is based on the cyber-physical transformation of processes, systems and methods applied in the manufacturing sector, and on its autonomous and decentralized operation. Industry 4.0 reflects that the industrial world is at the beginning of the so-called Fourth Industrial Revolution, characterized by a massive interconnection of assets and the integration of human operators with the manufacturing environment. In this regard, data analytics and, specifically, the artificial intelligence is the vehicular technology towards the next generation of smart factories.Chapters in this book cover a diversity of current and new developments in the use of artificial intelligence on the industrial sector seen from the fourth industrial revolution point of view, namely, cyber-physical applications, artificial intelligence technologies and tools, Industrial Internet of Things and data analytics. This book contains high-quality chapters containing original research results and literature review of exceptional merit. Thus, it is in the aim of the book to contribute to the literature of the topic in this regard and let the readers know current and new trends in the use of artificial intelligence for the Industry 4.0.
Book Synopsis Artificial Intelligence in Manufacturing Research by : J. Paulo Davim
Download or read book Artificial Intelligence in Manufacturing Research written by J. Paulo Davim and published by Nova Science Publishers. This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is a sub-field of computer science concerned with understanding the nature of intelligence and constructing computer systems capable of intelligent action. This book aims to provide the research and review studies on artificial intelligence in manufacturing.
Book Synopsis Artificial Intelligence Applications in Manufacturing by : A. Fazel Famili
Download or read book Artificial Intelligence Applications in Manufacturing written by A. Fazel Famili and published by Menlo Press, Calif. : AAAI Press/MIT Press. This book was released on 1992 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past decade has seen considerable advances in CAE tools that employ leading-edge artificial intelligence techniques and that can be used with CAD/CAM tools to reduce design costs. In three parts, this book covers current Al applications that can prove beneficial in the design and planning stages of manufacturing, that can assist in solving scheduling and control problems, and that can be used in manufacturing integration.A. F. Famili is Research Scientist at the Knowledge Systems Laboratory of the National Research Council of Canada. Steven H. Kim is Visiting Fellow at the Design Research Institute, Cornell University. Dana S. Nau an Associate Professor in the Computer Science Department at the University of Maryland.Contents: Application of Machine Learning to Industrial Planning and Decision Making. Incorporating Special Purpose Resource Design in Planning to Make More Efficient Plans. Geometric Reasoning Using a Feature Algebra. Backward Assembly Planning Symmetry Groups in Solid Model-Based Assembly Planning. An Expert System Approach for Economic Evaluation of Machining Operation Planning. Interactive Problem Solving for Production Planning. An Abstraction-Based Search and Learning Approach for Effective Scheduling. ADDYMS: Architecture for Distributed Dynamic Manufacturing Scheduling. An Architecture for Real Time Distributed Scheduling. Teamwork Among Intelligent Agents: Framework and Case Study in Robotic Service. Exploiting Local Flexibility During Execution of Precomputed Schedules. Symbolic Representation and Planning for Robot Control Systems in Manufacturing. An Architecture for Integrating Enterprise Automation. An Intelligent Agent Framework for Enterprise Integration. Integrated Software System for Intelligent Manufacturing. Enterprise Management Network Architecture: A Tool for Manufacturing Enterprise Integration. Design and Manufacturing: Integration through Quality.
Book Synopsis Forecasting Next Generation Manufacturing by : Frank T. Piller
Download or read book Forecasting Next Generation Manufacturing written by Frank T. Piller and published by Springer Nature. This book was released on 2022-08-25 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manufacturing companies have just begun to implement the concepts of the Fourth Industrial Revolution (Industry 4.0) on a larger scale. Still, this area is characterized by a rapid pace of technological change, blurring boundaries between physical, digital, and biological systems, and a quickly changing growing political, economic, and social environment -- leading to high uncertainty in decision making and many questions about the future development in this field. To provide guidance and inspiration for managers and academics on the future of digital manufacturing systems, this book presents the results of an extensive Delphi study on next-generation manufacturing systems, with a projection period of up to 2030. We analyzed almost 2000 quantitative estimations and more than 600 qualitative arguments from a large panel of industrial and academic experts from Europe, North America, and Asia. The book describes each of the 24 projections in detail, offering current case study examples and related research, as well as implications for policymakers, firms, and individuals. The empirical results also allowed us to build scenarios for the most probable future along the dimensions of governance, organization, capabilities, and interfaces from both a company-internal and an external (network) perspective.
Book Synopsis Machine Learning for Sustainable Manufacturing in Industry 4.0 by : Raman Kumar
Download or read book Machine Learning for Sustainable Manufacturing in Industry 4.0 written by Raman Kumar and published by CRC Press. This book was released on 2023-11-02 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods. Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions. Highlights the importance of the explainable machine learning model in the manufacturing processes. Presents the integration of machine learning and big data analytics from an industry 4.0 perspective. Discusses advanced computational techniques for sustainable manufacturing. Examines environmental impacts of operations and supply chain from an industry 4.0 perspective. This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.
