On-Orbit Servicing-Integrated Maintenance Strategy for Satellite Constellation
Jaewoo Kim, Taehyun Sung, Woonam Hwang, Jaemyung Ahn

TL;DR
This paper develops an integrated maintenance strategy for satellite constellations using on-orbit servicing, optimizing costs and service levels through a bi-objective model and case study validation.
Contribution
It introduces a bi-objective optimization framework for satellite maintenance combining on-orbit servicing and inventory management, with real-world case validation.
Findings
OOS reduces maintenance costs by up to 14.5%.
OOS decreases launch and manufacturing costs by approximately 25%.
Maintenance strategies are mostly invariant, while pricing varies along the Pareto frontier.
Abstract
This paper proposes a maintenance strategy for a satellite constellation that utilizes on-orbit servicing (OOS). Under this strategy, the constellation operator addresses satellite failures in two ways: by deploying new satellites and by recovering failed satellites through OOS. We develop an inventory management model with a parametric replenishment policy for the maintenance process, which can evaluate the performance of the satellite constellation system. Based on this model, we formulate the interaction between the constellation operator -- who seeks to maintain the required service level of the constellation while minimizing maintenance cost -- and the OOS provider -- who seeks to maximize profit by selecting service price and performance levels -- as a bi-objective optimization problem and identify the corresponding Pareto-optimal solutions. A case study based on real-world-scale…
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