Adaptive Robust Optimization with Applications in Inventory and Revenue Management

A doctoral thesis on making robust optimization work when decisions unfold over time rather than all at once. It develops adaptive policies that respond to uncertainty as it is observed while remaining computationally tractable, and applies them to inventory and revenue management.

Ph.D. Thesis, Massachusetts Institute of Technology