Last-Mile Logistics Systems

2-0-4 units · Graduate

Explores the quantitative foundations of last-mile logistics and fulfillment systems across diverse operational contexts and delivery models. Develops deep understanding of mathematical modeling and optimization techniques for strategic network design, tactical planning, and operational execution. Covers facility location and multi-echelon network design, inventory positioning and fulfillment strategies, vehicle routing problems, crowdsourced delivery and matching problems, warehouse operations optimization, alternative delivery methods, reverse logistics, and stochastic optimization under uncertainty. Integrates contemporary challenges including sustainability, data-driven decision-making, and real-time optimization. Emphasizes rigorous quantitative methods including mixed-integer programming, approximation algorithms, heuristic approaches, machine learning applications, stochastic and robust optimization.