Optimization-based Learning for Dynamic Load Planning in Parcel Delivery Service Networks

The paper proposes an optimization-based learning framework to efficiently and effectively adjust existing load plans as more accurate package volume forecast becomes available, enabling terminal planners to better manage daily operations while maintaining service guarantees.