Framework for Modeling and Optimization of On-Orbit Servicing Operations Under Demand Uncertainties

This paper develops a framework that models and optimizes the operations of complex on-orbit servicing infrastructures involving one or more servicers orbital depots to provide multiple types services fleet geostationary satellites. The proposed method extends state-of-the-art space logistics technique by addressing unique challenges in applications integrates it with Rolling Horizon decision-making approach. enables modeling logistical as Mixed-Integer Linear Program whose optimal solutions can efficiently be found. approach assessment long-term value an infrastructure accounting for uncertain service needs arise over time among Two case studies successfully demonstrate effectiveness 1) short-term operational scheduling 2) strategic decision making architectures under diverse market conditions.