Collaborative Transportation Optimization and Sustainability Evaluation Under Multi-Dimensional Constraints in Interstellar Logistics Systems
Addressing the conflicts between efficiency, cost, and ecology in Earth-Moon transportation, this study constructs an integrated collaborative logistics model for transporting 100 million tons of cargo to support a 100,000-person lunar colony. First, the Pareto frontier algorithm identifies an optimal allocation ratio of 46% for rocket transport, effectively hedging against long-cycle risks while suppressing cost surges under both perfect and imperfect conditions. Second, incorporating metabolic dynamics and discrete water supply mechanisms, the strategy achieves an equilibrium at a 0.59 ratio with a 38-day replenishment interval, reserving 160.5 days of redundancy to enhance system robustness against supply disruptions. Finally, shadow cost analysis internalizes environmental externalities via a nonlinear damage function, confirming that heavy reliance on rockets triggers ecological cost explosions. The model mandates strictly capping rocket transport at 0.41% to avoid crossing ecological red lines. Consequently, the study proposes a phased strategy transitioning from ecological priority to a robust hybrid mode, establishing a quantitative foundation for sustainable interstellar development.