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Explore a comprehensive research seminar examining the optimization of electric vehicle battery swapping networks through joint inventory and routing strategies under uncertainty. Learn about a novel two-stage optimization model that addresses the complex logistics of EV battery management systems featuring hybrid charging capabilities, where batteries can be charged either locally at swapping stations or centrally at depot facilities. Discover how the model incorporates stochastic vehicle arrival rates and random battery charging durations while maintaining service-level requirements across multiple stations. Understand the development of closed-form approximations for service-level constraints and the reformulation using second-order cone programming to handle the problem's non-convexity and computational complexity. Examine the proposed branch-and-cut algorithm enhanced with extended polymatroid cuts that improves solution tractability and scalability for real-world applications. Analyze how hybrid charging systems create two-echelon logistics structures with state-dependent flows and their impact on inventory pooling and routing efficiency. Review numerical results demonstrating the operational benefits of hybrid charging approaches and validation of the solution methodology for managing EV battery logistics in urban mobility systems under uncertainty.
