TY - GEN
T1 - Framework for modeling and optimization of on-orbit servicing operations under demand uncertainties
AU - du Jonchay, Tristan Sarton
AU - Chen, Hao
AU - Gunasekara, Onalli
AU - Ho, Koki
N1 - Publisher Copyright:
© 2020 The MITRE Corporation. All Rights Reserved.
PY - 2020
Y1 - 2020
N2 - This paper develops a framework that optimizes the operations of complex On-Orbit Servicing (OOS) infrastructures involving one or more servicers and orbital depots to provide various services to a fleet of geostationary (GEO) satellites. The proposed method uniquely combines a state-of-the-art space logistics technique with the Rolling Horizon decision making approach. The former is used to model the OOS logistical operations as a Mixed-Integer Linear Program whose globally optimal solutions can efficiently be found. The latter is used to assess the long-term value of an OOS infrastructure by accounting for the uncertain service needs that arise over time among the GEO satellites. Two case studies successfully demonstrate the effectiveness of the framework in optimizing the short-to mid-term operational scheduling and the long-term strategic planning of different OOS architectures under diverse market conditions.
AB - This paper develops a framework that optimizes the operations of complex On-Orbit Servicing (OOS) infrastructures involving one or more servicers and orbital depots to provide various services to a fleet of geostationary (GEO) satellites. The proposed method uniquely combines a state-of-the-art space logistics technique with the Rolling Horizon decision making approach. The former is used to model the OOS logistical operations as a Mixed-Integer Linear Program whose globally optimal solutions can efficiently be found. The latter is used to assess the long-term value of an OOS infrastructure by accounting for the uncertain service needs that arise over time among the GEO satellites. Two case studies successfully demonstrate the effectiveness of the framework in optimizing the short-to mid-term operational scheduling and the long-term strategic planning of different OOS architectures under diverse market conditions.
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M3 - Conference contribution
AN - SCOPUS:85097657761
SN - 9781624106088
T3 - Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020
BT - Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020
T2 - Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2020
Y2 - 16 November 2020 through 19 November 2020
ER -