Planning lunar surface infrastructure construction can be hindered by environmental, operational, and technological factors. Uncertainty over the impact of these factors on project timelines is a major concern and can affect lunar project planning. This study employs a multi-criteria decision-making (MCDM) approach to identify and prioritize critical factors influencing the automated construction of lunar launch and landing pads (LLP) using sintering-based regolith bricks. Variance-based global sensitivity analysis is used to assess the influence of key operational and environmental factors on construction efficiency. Six factors that affect project duration, (a) regolith excavation rate, (b) sintering-energy demand, (c) brick-production cycle time, (d) power availability, (e) operational work-window efficiency, and (f) stochastic environmental delay, were sampled across realistic ranges drawn from current state-of-the-art studies. Variance–based sensitivity analysis revealed a clear hierarchy: operational work-window efficiency explained the majority of schedule variance at every construction scale, while brick-production rate and power availability were secondary drivers. Excavation speed mattered only for very small builds, and both sintering energy and moderate random delays had a mild influence. These results indicate that, for near-term missions, investments that extend productive duty cycles like continuous robotics, nighttime power, and higher autonomy will shorten build times far more than incremental gains in digging speed or furnace efficiency. The study presents a novel application of variance-based sensitivity methods in infrastructure modeling that offers a concise, evidence-based ranking of design levers for mission planners and demonstrates how global sensitivity analysis can sharpen decision-making for complex off-Earth construction problems.
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