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 is more...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2024
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| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 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: | 1 Online-Ressource (343 Seiten) |
| ISBN: | 9798369326169 |
| DOI: | 10.4018/979-8-3693-2615-2 |
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| 520 | |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. | ||
| 650 | 4 | |a Artificial intelligence |x Industrial applications | |
| 650 | 4 | |a Production engineering |x Technological innovations | |
| 650 | 4 | |a Production management |x Technological innovations | |
| 700 | 1 | |a Satishkumar, D. |d 1980- |4 edt | |
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| discipline | Werkstoffwissenschaften / Fertigungstechnik |
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| id | DE-604.BV049735942 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-24T01:08:07Z |
| institution | BVB |
| isbn | 9798369326169 |
| language | English |
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| physical | 1 Online-Ressource (343 Seiten) |
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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 IGI Global 2024 1 Online-Ressource (343 Seiten) txt rdacontent c rdamedia cr rdacarrier 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. Artificial intelligence Industrial applications Production engineering Technological innovations Production management Technological innovations Satishkumar, D. 1980- edt Sivaraja, M. edt Erscheint auch als Druck-Ausgabe 9798369326152 https://doi.org/10.4018/979-8-3693-2615-2 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Using real-time data and AI for thrust manufacturing 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 |
| url | https://doi.org/10.4018/979-8-3693-2615-2 |
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