Using real-time data and AI for thrust manufacturing:
" 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...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | " 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."-- |
| Beschreibung: | 22 PDFs (343 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369326169 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 0 | 0 | |a Using real-time data and AI for thrust manufacturing |c D. Satishkumar, M. Sivaraja, editors. |
| 246 | 3 | |a Using real-time data and artificial intelligence for thrust manufacturing | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
| 300 | |a 22 PDFs (343 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. AI-enabled robotics -- Chapter 2. AI-powered tools -- Chapter 3. Forging trust: a futuristic exploration of AI and ML in trust manufacturing -- Chapter 4. Applications of artificial intelligence in thrust manufacturing: enhancing precision and efficiency -- Chapter 5. Revolutionizing thrust manufacturing: the synergy of real-time data and AI advancements -- Chapter 6. The usage of artificial intelligence in manufacturing industries: a real-time application -- Chapter 7. Harnessing the power of artificial intelligence in reinventing the manufacturing sector -- Chapter 8. Revolutionizing the manufacturing sector a comprehensive analysis of ai's impact on industry 4.0 -- Chapter 9. Industrial revolution (industry 5.0) and artificial intelligence technology -- Chapter 10. Unleashing the power of industry 5.0 -- Chapter 11. Precision paradigm: AI-infused evolution of manufacturing in industry 5.0 -- Chapter 12. Real-time applications of artificial intelligence technology in daily operations -- Chapter 13. 3D localization in the era of iiot by integrating machine learning with 3D adaptive stochastic control algorithm. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a " 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."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 04/10/2024). | ||
| 650 | 0 | |a Artificial intelligence |x Industrial applications. | |
| 650 | 0 | |a Production engineering |x Technological innovations. | |
| 650 | 0 | |a Production management |x Technological innovations. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Satishkumar, D. |d 1980- |e editor. | |
| 700 | 1 | |a Sivaraja, M., |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369326152 |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
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| contents | Chapter 1. AI-enabled robotics -- Chapter 2. AI-powered tools -- Chapter 3. Forging trust: a futuristic exploration of AI and ML in trust manufacturing -- Chapter 4. Applications of artificial intelligence in thrust manufacturing: enhancing precision and efficiency -- Chapter 5. Revolutionizing thrust manufacturing: the synergy of real-time data and AI advancements -- Chapter 6. The usage of artificial intelligence in manufacturing industries: a real-time application -- Chapter 7. Harnessing the power of artificial intelligence in reinventing the manufacturing sector -- Chapter 8. Revolutionizing the manufacturing sector a comprehensive analysis of ai's impact on industry 4.0 -- Chapter 9. Industrial revolution (industry 5.0) and artificial intelligence technology -- Chapter 10. Unleashing the power of industry 5.0 -- Chapter 11. Precision paradigm: AI-infused evolution of manufacturing in industry 5.0 -- Chapter 12. Real-time applications of artificial intelligence technology in daily operations -- Chapter 13. 3D localization in the era of iiot by integrating machine learning with 3D adaptive stochastic control algorithm. |
| ctrlnum | (CaBNVSL)slc00005783 (OCoLC)1429862868 |
| dewey-full | 670.285/63 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 670 - Manufacturing |
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| discipline | Werkstoffwissenschaften / Fertigungstechnik |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00333600 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-16T15:52:00Z |
| institution | BVB |
| isbn | 9798369326169 |
| language | English |
| oclc_num | 1429862868 |
| open_access_boolean | |
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| physical | 22 PDFs (343 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global, |
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| spelling | Using real-time data and AI for thrust manufacturing D. Satishkumar, M. Sivaraja, editors. Using real-time data and artificial intelligence for thrust manufacturing Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 22 PDFs (343 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. AI-enabled robotics -- Chapter 2. AI-powered tools -- Chapter 3. Forging trust: a futuristic exploration of AI and ML in trust manufacturing -- Chapter 4. Applications of artificial intelligence in thrust manufacturing: enhancing precision and efficiency -- Chapter 5. Revolutionizing thrust manufacturing: the synergy of real-time data and AI advancements -- Chapter 6. The usage of artificial intelligence in manufacturing industries: a real-time application -- Chapter 7. Harnessing the power of artificial intelligence in reinventing the manufacturing sector -- Chapter 8. Revolutionizing the manufacturing sector a comprehensive analysis of ai's impact on industry 4.0 -- Chapter 9. Industrial revolution (industry 5.0) and artificial intelligence technology -- Chapter 10. Unleashing the power of industry 5.0 -- Chapter 11. Precision paradigm: AI-infused evolution of manufacturing in industry 5.0 -- Chapter 12. Real-time applications of artificial intelligence technology in daily operations -- Chapter 13. 3D localization in the era of iiot by integrating machine learning with 3D adaptive stochastic control algorithm. Restricted to subscribers or individual electronic text purchasers. " 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."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 04/10/2024). Artificial intelligence Industrial applications. Production engineering Technological innovations. Production management Technological innovations. Electronic books. Satishkumar, D. 1980- editor. Sivaraja, M., editor. IGI Global, publisher. Print version: 9798369326152 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-2615-2 Volltext |
| spellingShingle | Using real-time data and AI for thrust manufacturing Chapter 1. AI-enabled robotics -- Chapter 2. AI-powered tools -- Chapter 3. Forging trust: a futuristic exploration of AI and ML in trust manufacturing -- Chapter 4. Applications of artificial intelligence in thrust manufacturing: enhancing precision and efficiency -- Chapter 5. Revolutionizing thrust manufacturing: the synergy of real-time data and AI advancements -- Chapter 6. The usage of artificial intelligence in manufacturing industries: a real-time application -- Chapter 7. Harnessing the power of artificial intelligence in reinventing the manufacturing sector -- Chapter 8. Revolutionizing the manufacturing sector a comprehensive analysis of ai's impact on industry 4.0 -- Chapter 9. Industrial revolution (industry 5.0) and artificial intelligence technology -- Chapter 10. Unleashing the power of industry 5.0 -- Chapter 11. Precision paradigm: AI-infused evolution of manufacturing in industry 5.0 -- Chapter 12. Real-time applications of artificial intelligence technology in daily operations -- Chapter 13. 3D localization in the era of iiot by integrating machine learning with 3D adaptive stochastic control algorithm. Artificial intelligence Industrial applications. Production engineering Technological innovations. Production management Technological innovations. |
| title | Using real-time data and AI for thrust manufacturing |
| title_alt | Using real-time data and artificial intelligence for thrust manufacturing |
| title_auth | Using real-time data and AI for thrust manufacturing |
| title_exact_search | Using real-time data and AI for thrust manufacturing |
| title_full | Using real-time data and AI for thrust manufacturing D. Satishkumar, M. Sivaraja, editors. |
| title_fullStr | Using real-time data and AI for thrust manufacturing D. Satishkumar, M. Sivaraja, editors. |
| title_full_unstemmed | Using real-time data and AI for thrust manufacturing D. Satishkumar, M. Sivaraja, editors. |
| title_short | Using real-time data and AI for thrust manufacturing |
| title_sort | using real time data and ai for thrust manufacturing |
| topic | Artificial intelligence Industrial applications. Production engineering Technological innovations. Production management Technological innovations. |
| topic_facet | Artificial intelligence Industrial applications. Production engineering Technological innovations. Production management Technological innovations. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-2615-2 |
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