Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Innovations in Computational Logistics and Supply Chain Analytics: Theories, Methods, and Applications

Innovations in Computational Logistics and Supply Chain Analytics: Theories, Methods, and Applications

Alharbi, Ibraheem
Ben Ncir, Chiheb-Eddine
Qaffas, Alaa

Hardcover

Series: Unsupervised and Semi-Supervised Learning

Business GeneralTechnology & EngineeringGeneral Computers

Currently unavailable to order

ISBN10: 3032029384
ISBN13: 9783032029386
Publisher: Springer
Published: Apr 21 2026
Pages: 208
Weight: 1.00
Height: 0.68 Width: 6.45 Depth: 9.52
Language: English

This book discusses advances in computational logistics and supply chain analytics. The book includes 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. The book describes new applications of machine learning and data analytic techniques to solve transport, logistic, and supply chain optimization problems. The book gives readers an overview of innovative design and applications of computational methods issued from machine learning and data analytics domains to automate and improve transport, logistic and supply chain processes. The authors also highlight the importance of embedding and using computational methods to improve transport, logistic and supply chain processes. The authors introduce case studies of logistic and supply chain processes improved using innovative learning-based or data-driven methods.

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