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