Advances in Computational Logistics and Supply Chain Analytics

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Éditeur :

Springer


Collection :

Unsupervised and Semi-Supervised Learning

Paru le : 2024-03-20

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Description

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.
Pages
196 pages
Collection
Unsupervised and Semi-Supervised Learning
Parution
2024-03-20
Marque
Springer
EAN papier
9783031500350
EAN PDF
9783031500367

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
6308 Ko
Prix
126,59 €
EAN EPUB
9783031500367

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
11704 Ko
Prix
126,59 €