Event-driven space logistics network optimization for cislunar supply chain design with high-thrust and low-thrust propulsion technologies

Various high-thrust and low-thrust propulsion technologies have been developed to sustain future space exploration activities; however, designing and optimizing a multi-mission campaign with both propulsion options is generally computationally challenging due to the coupling of network logistics design and space transportation costs. To tackle this challenge, this paper develops a novel event-driven space logistics network approach with mixed-integer linear programming methods and precomputed transfer cost models for campaign-level space mission design. The specific case of optimally designing a cislunar propellant resupply chain is considered for the purposes of supporting lunar surface access. The results are compared with an existing stochastic combinatorial formulation. The newly developed approach provides superior results in terms of cost, as well as utilization of vehicle fleet.