As space becomes an increasingly congested domain, the risk of damage to satellite constellations is increasing. In response, there is an increasing need for capabilities for unmanned repair, refueling, and reconstitution (R3) of those constellations. Cislunar orbits offer a promising storage and low-cost transfer solution for on-orbit service vehicles and replacement satellites to leverage those capabilities. This research makes use of mixed-integer linear programming-based logistics models to determine the situations in which a cislunar mission architecture would offer a cost-effective alternative to Earth-based R3.The network models presented in this research make use of the latest developments in Event-Driven Ge


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    Title :

    Development of Cislunar Space Logistics Networks for Satellite Constellation Support Using Event-Driven Generalized Multi-Commodity Network Flows


    Contributors:

    Publication date :

    2019


    Size :

    94 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English






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