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4 books on AI for Manufacturing [PDF]
Updated: March 04, 2024 | 21 |
Books on AI for manufacturing are indispensable for startups dedicated to developing AI solutions for the manufacturing sector. These texts delve into the applications of artificial intelligence in predictive maintenance, quality control, process optimization, and supply chain management, offering startups an in-depth understanding of the complexities and opportunities within the manufacturing industry.
1. Explainable Artificial Intelligence (XAI) in Manufacturing: Methodology, Tools, and Applications
2023 by Tin-Chih Toly Chen
This book offers a comprehensive examination of the most recent advancements in Explainable Artificial Intelligence (XAI) and its practical implementation in the manufacturing sector. It encompasses a wide array of methodologies, tools, and technologies designed to enhance the comprehensibility and communication of AI for factory workers. With the growing integration of AI within manufacturing processes, there arises a pressing need to address the challenges posed by complex AI techniques that may be challenging to grasp or elucidate for individuals lacking a background in AI. This book effectively addresses this requirement by delivering a systematic exploration of the latest XAI research and innovations, specifically tailored to the manufacturing domain. It incorporates real-world case studies and practical examples to showcase the tangible applications of XAI in manufacturing scenarios. As such, it proves to be an indispensable resource for researchers, engineers, and practitioners engaged in the intersection of AI and manufacturing.
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2. AI Factory: Theories, Applications and Case Studies
2023 by Ramin Karim, Diego Galar, Uday Kumar
This book offers valuable insights into the utilization of data science tools, technologies, and methodologies pertaining to artificial intelligence (AI) within industrial settings. It provides a comprehensive understanding of the essential components of distributed computing and AI technologies, elucidating their interconnectedness. The book encompasses detailed explanations of various technology and methodology approaches, elucidating their purposes and advantages when applied to the development of AI solutions within industrial contexts. Additionally, it distills lessons learned from AI technology deployment projects spanning various industrial sectors. Key features include a comprehensive compilation of methodologies and technologies related to industrial AI and digitalization, an illustration of the sensor-to-actuation approach that defines and distinguishes AI and digitalization, coverage of a wide array of academic and industrial considerations within the realm of asset management, exploration of the impact of Industry 4.0 across different sectors, and a dedicated chapter featuring real-time case studies. This book is tailored for researchers and professionals in industrial and software engineering, network security, AI and machine learning (ML), engineering management, operational and maintenance roles, asset management, as well as digital and AI manufacturing specialists.
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3. Intelligent Manufacturing Management Systems: Operational Applications of Evolutionary Digital Technologies in Mechanical and Industrial Engineering
2023 by Kamalakanta Muduli, V. P. Kommula, Devendra K. Yadav, M. Chithirai Pon Selvan, Jayakrishna Kandasamy
This book delves into the most recent manufacturing methodologies related to artificial intelligence (AI) and evolutionary algorithms, focusing on their capacity to monitor and regulate manufacturing environments. It provides a comprehensive exploration of the application of digital evolutionary technologies within the realm of industrial engineering and manufacturing. The book offers step-by-step discussions, case studies, systematic literature reviews, rigorous experimental findings, and practical applications in several chapters. It addresses the challenges confronted by industries when integrating these digital technologies into their operational workflows, while also highlighting the opportunities arising from such integration. Readers will gain insights into the distinctive attributes of big data, cloud computing, and AI as they pertain to decision-making in intelligent production systems, along with a comprehensive overview of current and pertinent topics in manufacturing management. The book systematically addresses challenges faced in real-world applications across various domains, including smart supply chains, knowledge management, intelligent inventory control, IoT implementation in manufacturing management, and more. Additionally, it explores intelligent approaches to sustainable practices in industrial waste management. This book is a valuable resource for researchers, industry professionals, data scientists, and AI specialists engaged in industrial engineering, mechanical engineering, production engineering, manufacturing engineering, and operations and supply chain management. It also offers insights for the service sector industry, including logistics and entities involved in smart city initiatives.
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4. Robotics in Smart Manufacturing: International Workshop, WRSM 2013
2013 by Pedro Neto, António Paulo Moreira
The International Workshop on Robotics in Smart Manufacturing, WRSM 2013, held in Porto, Portugal, in June 2013, is the focus of this book's refereed proceedings. Among the extensive submissions, 20 meticulously reviewed and selected full papers are featured. The topics covered encompass a range of subjects, including robotic machining, off-line robot programming, robot calibration, innovative robotic hardware and software structures, advanced techniques for robot teaching, intelligent warehousing solutions, collaborative robot partners, and the utilization of robots within the textile industry.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Explainable Artificial Intelligence (XAI) in Manufacturing: Methodology, Tools, and Applications
2023 by Tin-Chih Toly Chen
This book offers a comprehensive examination of the most recent advancements in Explainable Artificial Intelligence (XAI) and its practical implementation in the manufacturing sector. It encompasses a wide array of methodologies, tools, and technologies designed to enhance the comprehensibility and communication of AI for factory workers. With the growing integration of AI within manufacturing processes, there arises a pressing need to address the challenges posed by complex AI techniques that may be challenging to grasp or elucidate for individuals lacking a background in AI. This book effectively addresses this requirement by delivering a systematic exploration of the latest XAI research and innovations, specifically tailored to the manufacturing domain. It incorporates real-world case studies and practical examples to showcase the tangible applications of XAI in manufacturing scenarios. As such, it proves to be an indispensable resource for researchers, engineers, and practitioners engaged in the intersection of AI and manufacturing.
Download PDF
2. AI Factory: Theories, Applications and Case Studies
2023 by Ramin Karim, Diego Galar, Uday Kumar
This book offers valuable insights into the utilization of data science tools, technologies, and methodologies pertaining to artificial intelligence (AI) within industrial settings. It provides a comprehensive understanding of the essential components of distributed computing and AI technologies, elucidating their interconnectedness. The book encompasses detailed explanations of various technology and methodology approaches, elucidating their purposes and advantages when applied to the development of AI solutions within industrial contexts. Additionally, it distills lessons learned from AI technology deployment projects spanning various industrial sectors. Key features include a comprehensive compilation of methodologies and technologies related to industrial AI and digitalization, an illustration of the sensor-to-actuation approach that defines and distinguishes AI and digitalization, coverage of a wide array of academic and industrial considerations within the realm of asset management, exploration of the impact of Industry 4.0 across different sectors, and a dedicated chapter featuring real-time case studies. This book is tailored for researchers and professionals in industrial and software engineering, network security, AI and machine learning (ML), engineering management, operational and maintenance roles, asset management, as well as digital and AI manufacturing specialists.
Download PDF
3. Intelligent Manufacturing Management Systems: Operational Applications of Evolutionary Digital Technologies in Mechanical and Industrial Engineering
2023 by Kamalakanta Muduli, V. P. Kommula, Devendra K. Yadav, M. Chithirai Pon Selvan, Jayakrishna Kandasamy
This book delves into the most recent manufacturing methodologies related to artificial intelligence (AI) and evolutionary algorithms, focusing on their capacity to monitor and regulate manufacturing environments. It provides a comprehensive exploration of the application of digital evolutionary technologies within the realm of industrial engineering and manufacturing. The book offers step-by-step discussions, case studies, systematic literature reviews, rigorous experimental findings, and practical applications in several chapters. It addresses the challenges confronted by industries when integrating these digital technologies into their operational workflows, while also highlighting the opportunities arising from such integration. Readers will gain insights into the distinctive attributes of big data, cloud computing, and AI as they pertain to decision-making in intelligent production systems, along with a comprehensive overview of current and pertinent topics in manufacturing management. The book systematically addresses challenges faced in real-world applications across various domains, including smart supply chains, knowledge management, intelligent inventory control, IoT implementation in manufacturing management, and more. Additionally, it explores intelligent approaches to sustainable practices in industrial waste management. This book is a valuable resource for researchers, industry professionals, data scientists, and AI specialists engaged in industrial engineering, mechanical engineering, production engineering, manufacturing engineering, and operations and supply chain management. It also offers insights for the service sector industry, including logistics and entities involved in smart city initiatives.
Download PDF
4. Robotics in Smart Manufacturing: International Workshop, WRSM 2013
2013 by Pedro Neto, António Paulo Moreira
The International Workshop on Robotics in Smart Manufacturing, WRSM 2013, held in Porto, Portugal, in June 2013, is the focus of this book's refereed proceedings. Among the extensive submissions, 20 meticulously reviewed and selected full papers are featured. The topics covered encompass a range of subjects, including robotic machining, off-line robot programming, robot calibration, innovative robotic hardware and software structures, advanced techniques for robot teaching, intelligent warehousing solutions, collaborative robot partners, and the utilization of robots within the textile industry.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
