Human Intelligence Based Manufacturing
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Human Intelligence Based Manufacturing
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Author : Yoshimi Ito
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Human Intelligence Based Manufacturing written by Yoshimi Ito and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
Human Intelligence-Based Manufacturing is part of the Advanced Manufacturing Series edited by Professor D.T. Pham of the University of Wales, College of Cardiff. The Flexibility Computerised-Integrated Manufacturing Structure (FCIMS) is a significant innovation in the field of the production science and technology which combines rapid manufacture with the requirements of human society. Due to greater market diversification a new approach is needed as a response to this new manufacturing environment. International expert contributions deal with aspects of this response and describe how to amalgamate higher levels of automation with human-oriented functions, maintaining a high level of productivity. The benefits are an improved international competitiveness and co-operation. Since Human Intelligent-Based Manufacturing deals with the integration of technology and sociology it is of interest to both the academia and industry. Collaboration in manufacturing between Japan, Europe and the United States is a topic of high current interest.
Human Intelligence Based Manufacturing
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Author : Yoshimi Ito
language : en
Publisher:
Release Date : 1993-09-24
Human Intelligence Based Manufacturing written by Yoshimi Ito and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-09-24 with Computer integrated manufacturing systems categories.
Artificial Intelligence Applications In Manufacturing
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Author : Richard Kendall Miller
language : en
Publisher:
Release Date : 1988
Artificial Intelligence Applications In Manufacturing written by Richard Kendall Miller and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Artificial intelligence categories.
Artificial Intelligence In Manufacturing
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Author : John Soldatos
language : en
Publisher: Springer
Release Date : 2024-01-03
Artificial Intelligence In Manufacturing written by John Soldatos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-03 with Technology & Engineering categories.
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.
Artificial Intelligence Raises Efficiency In Manufacturing Industry
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Author : Johnny Ch Lok
language : en
Publisher:
Release Date : 2019-12-11
Artificial Intelligence Raises Efficiency In Manufacturing Industry written by Johnny Ch Lok and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-11 with categories.
Technological progress is main driver of growth of GDP per capita, allowing output to increase faster than labor and capital . However, technology can increase productivity, but also decrease the number of labor hours needed to create a unit of output. So (AI) causes unequal to labor wage decreases, even reduces the number of labor to manufacture, e.g. artificial intelligence technology of automation car manufacturing industry; clothing manufacturing industry; plane manufacturing etc. high technology of artificial intelligence manufacturing method. But (AI) should be potential environment benefit, although it raises unemployment ratio. Moreover, it can rise production, due to many skilled craft were replaced by the combination of machines and lower-skilled labor. The result of (AI) technology introduction, it causes output per hour risen when inequality declined, driving up average living standards, but the labor of some high-skill workers was no longer as valuable in the market. Otherwise, if (AI) technology is continue developed to be success. Some routine intensive occupations will be loss, which focused on predictable, e.g. easily programmable tasks, such as switchboard operators, filing clerks, travel agents, and assembly line workers would be particularly replaced by new (AI) technology. However, at the same time, (AI) technology development will bring these benefits: improvement in education ( training (AI) technology scientists), due to (AI) manufacturing technology needs are raising to businesses and institutional changes, such as the reduction in unionization and raising in the minimum wage to the (AI) manufacturing technology skilled labor in factories.Because (AI) technology is not a single technology, but rather a collection of technologies that are applied to specific tasks, the effects of (AI) will be felt unevenly though the economy. It will bring some tasks will be most easily automated than others, and some jobs will be affected more than others, both negatively and positively. Finally, new jobs are likely to be directly created in areas, such as the development and supervision of (AI) as well as indirectly created in a range areas though out the economy as higher incomes lead to expanded demand.However, if (AI) technology could dominate global labor markets. If labor productivity increases, do not influence to wage increases, then the large economic gains brought about by (AI) technology could be increased wealth inequality, due to employers can reduce production cost, but workers ( labors) wages will not be increased, even will be decreased. Hence, it seems the (AI) technology will bring disadvantages to labor market to cause unemployment or reduce wages in possible, although it can reduce employer individual salary (wage) expenditure and it can raise productivity.⦁How can artificial intelligence impact global economy growth?Artificial intelligence (AI) technology is a branch of computer science that aims to create intelligent machines that work and react like humans. So, (AI) is a technology that appears to impact ( influence) human preference by learning, understanding complex contents, enhancing humans in executing both routine and non-routine tasks. In the future, (AI) technology that can be virtual personal assistant, as well as it may exist, such as robots with human-like processing capabilities
A Perspective On Artificial Intelligence In Manufacturing
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Author : George Chryssolouris
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
A Perspective On Artificial Intelligence In Manufacturing written by George Chryssolouris and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Computers categories.
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.
Human Factors In Engineering
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Author : Beata Mrugalska
language : en
Publisher: CRC Press
Release Date : 2023-05-23
Human Factors In Engineering written by Beata Mrugalska and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-23 with Computers categories.
This book addresses aspects of human factors in engineering and provides a detailed discussion of novel approaches, systems engineering tools, artificial cognitive systems, and intelligent technologies and automation. It presents applications in diverse areas, including digital manufacturing, transportation, infrastructure development, and cybersecurity. This book: • Merges the engineering perspective with the human factors and social dimension of computing and artificial intelligence–based technologies. • Covers technological development of human factors engineering and the human dimension in applications across all areas of modern society. • Relates to human behavior in the context of technology and systems interactions. • Discusses the design and the appropriation of 3D printing techniques in the management of an innovative product system. • Presents systems engineering tools, user experience methodologies, artificial cognitive systems, intelligent technologies, and automation. The text is for students, professionals, and researchers in the fields of ergonomics, human factors, industrial engineering, and manufacturing engineering.
Advances In Artificial Intelligence In Manufacturing
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Author : Achim Wagner
language : en
Publisher: Springer
Release Date : 2024-05-19
Advances In Artificial Intelligence In Manufacturing written by Achim Wagner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-19 with Technology & Engineering categories.
This book reports on recent developments of artificial intelligence applications in the manufacturing industry. Gathering contributions to the first European Symposium on Artificial Intelligence in Manufacturing, held on September 19, 2023, in Kaiserslautern, Germany, it reports on machine learning models and algorithms for systems monitoring and industrial data management, on advances in human-robot collaboration, and on artificial intelligence applications in industrial control and process monitoring. Giving a special emphasis to the integration of artificial intelligence in manufacturing systems and processes, this book offers a timely and practice-oriented guide to a multidisciplinary audience of engineering researchers, software developers and industrial managers.
Artificial Intelligence For Smart Manufacturing
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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.
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.
Trusted Artificial Intelligence In Manufacturing
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Author : John Soldatos
language : en
Publisher:
Release Date : 2021-09-30
Trusted Artificial Intelligence In Manufacturing written by John Soldatos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-30 with categories.
The successful deployment of AI solutions in manufacturing environments hinges on their security, safety and reliability which becomes more challenging in settings where multiple AI systems (e.g., industrial robots, robotic cells, Deep Neural Networks (DNNs)) interact as atomic systems and with humans. To guarantee the safe and reliable operation of AI systems in the shopfloor, there is a need to address many challenges in the scope of complex, heterogeneous, dynamic and unpredictable environments. Specifically, data reliability, human machine interaction, security, transparency and explainability challenges need to be addressed at the same time. Recent advances in AI research (e.g., in deep neural networks security and explainable AI (XAI) systems), coupled with novel research outcomes in the formal specification and verification of AI systems provide a sound basis for safe and reliable AI deployments in production lines. Moreover, the legal and regulatory dimension of safe and reliable AI solutions in production lines must be considered as well. To address some of the above listed challenges, fifteen European Organizations collaborate in the scope of the STAR project, a research initiative funded by the European Commission in the scope of its H2020 program (Grant Agreement Number: 956573). STAR researches, develops, and validates novel technologies that enable AI systems to acquire knowledge in order to take timely and safe decisions in dynamic and unpredictable environments. Moreover, the project researches and delivers approaches that enable AI systems to confront sophisticated adversaries and to remain robust against security attacks. This book is co-authored by the STAR consortium members and provides a review of technologies, techniques and systems for trusted, ethical, and secure AI in manufacturing. The different chapters of the book cover systems and technologies for industrial data reliability, responsible and transparent artificial intelligence systems, human centered manufacturing systems such as human-centred digital twins, cyber-defence in AI systems, simulated reality systems, human robot collaboration systems, as well as automated mobile robots for manufacturing environments. A variety of cutting-edge AI technologies are employed by these systems including deep neural networks, reinforcement learning systems, and explainable artificial intelligence systems. Furthermore, relevant standards and applicable regulations are discussed. Beyond reviewing state of the art standards and technologies, the book illustrates how the STAR research goes beyond the state of the art, towards enabling and showcasing human-centred technologies in production lines. Emphasis is put on dynamic human in the loop scenarios, where ethical, transparent, and trusted AI systems co-exist with human workers. The book is made available as an open access publication, which could make it broadly and freely available to the AI and smart manufacturing communities.