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This volume provides advances in computational logistics and supply chain analytics. It 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. Such computational techniques and methods allow companies to better meet consumer expectations, to deliver products faster, and to largely reduce costs. The volume provides a systematic understanding of the scope in-depth and rapidly builds an overview of recent computational methods and techniques applied to ensure continuous improvement of transport, logistic, and supply chain management processes.

The volume opens with chapter entitled “ The Dynamic Vehicle Routing Problem: A Comprehensive Survey”. In this chapter, Nasreddine Ouertani, Hajer Ben Romd-hane, and Saoussen …