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Titlebook: Applications of Emerging Technologies and AI/ML Algorithms; International Confer Manoj Kumar Tiwari,Madhu Ranjan Kumar,Rony Mitra Conferenc

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發(fā)表于 2025-3-21 17:04:04 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applications of Emerging Technologies and AI/ML Algorithms
期刊簡(jiǎn)稱International Confer
影響因子2023Manoj Kumar Tiwari,Madhu Ranjan Kumar,Rony Mitra
視頻videohttp://file.papertrans.cn/160/159384/159384.mp4
發(fā)行地址Is a collection of applications of data analytics and machine learning in public procurement and supply chain management.Emphasizes the most cutting-edge methods proposed in recent years.Presents the
學(xué)科分類Asset Analytics
圖書封面Titlebook: Applications of Emerging Technologies and AI/ML Algorithms; International Confer Manoj Kumar Tiwari,Madhu Ranjan Kumar,Rony Mitra Conferenc
影響因子.This book provides practical insights into applications of the state-of-the-art of Machine Learning and Artificial Intelligence (AI) for solving intriguing and complex problems in procurement and supply chain management. The application domain includes perishable food supply chain, steel price prediction, electric vehicle charging infrastructure design, contract price negotiation, reverse logistics network design, and demand forecasting. Further, the book highlights the advanced topics in the procurement field, like AI in green procurement and e-procurement in the pharma sector. Furthermore, the book covers applications of well-established methodologies such as heuristics, optimization, game theory, and MCDM based on the nature of the problem. The inclusion of the vaccine supply chain digital twin and blockchain-based procurement signals the significance of the book. This book is a comprehensive guide for industry professionals to understand the power of data analytics, enabling them to improve efficiency and effectiveness in the procurement and supply chain sectors..
Pindex Conference proceedings 2023
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https://doi.org/10.1007/978-3-642-20665-8nd Monitor, Test and Validate, and Deliver and Manage.?Finally, we present a case study for scheduling 3D printers in manufacturing network. We examine a 3D printer scheduling problem by considering multiple printing alternatives in which various types of products can be printed in different forms u
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Biological Efficacy of an Active Ingredientng, by focusing on the specific factors or perspectives for efficiency improvement. The results of the study can also be used in strategic implementation to improve the performance of the trucking industry.
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