| 期刊全称 | Advances in Computational Logistics and Supply Chain Analytics | | 影响因子2023 | Ibraheem Alharbi,Chiheb-Eddine Ben Ncir,Hajer Ben- | | 视频video | | | 发行地址 | Highlights the importance of embedding and using computational methods to improve supply chain processes.Presents machine learning and data analytics techniques to solve supply chain optimization prob | | 学科分类 | Unsupervised and Semi-Supervised Learning | | 图书封面 |  | | 影响因子 | .This book provides advances in computational logistics and supply chain analytics. The authors include innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that have been designed or applied to create and implement a successful logistics and supply chain management process. This book highlights the state of the art and challenges related to the design and the application of computational methods to solve logistic and supply chain management problems. The authors present recent computational logistic methods and supply chain analytics techniques designed and applied to support managers in improving such complex processes. This book broadly covers recent computational methods and techniques applied to ensure continuous improvement of transport, logistic, and supply chain management processes. Readers can rapidly explore these new methods and their applications to solve such complex problems.. | | Pindex | Book 2024 |
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发表于 2025-3-21 18:05:57
