Forecasting water supply shortages in space missions using scenario - based simulation within erp systems

Huaman Simeon V.R.; Quintana Quispe F.R.; Roman-Gonzalez A. · Proceedings of the International Astronautical Congress, IAC (2025) · DOI: 10.52202/083093-0059

Resumen

Autonomous resource management is a critical challenge for long-duration space missions, where delayed communication with Earth prevents real-time support. This paper validates a predictive simulation module integrated into an enterprise resource planning (ERP) platform, designed as a decision-support tool for astronauts. The system was tested through multiple operational scenarios in a lunar habitat case study (“Copernicus Mission”), enabling automatic classification of optimal, moderate, and critical water-supply conditions. An embedded intelligence component (ASTRO-AI) generated preventive alerts, risk-specific recommendations, and spoken warnings without human intervention, translating raw consumption data into actionable diagnostics. Results showed that under nominal conditions the system projected safe autonomy beyond 190 days, while degraded efficiency reduced reserves to 50 days, and critical consumption scenarios shortened supply to 16.6 days. These findings confirm that the ERP-based tool enhances situational awareness, reduces crew cognitive load, and supports proactive logistics management. Although validated in a cloud-based configuration, future deployment will require on-edge integration within spacecraft systems to ensure resilience during communication outages. This approach represents a foundational step toward intelligent, autonomous logistics solutions for lunar and Martian exploration. Copyright

Instituciones: Universidad Nacional Tecnológica de Lima Sur; Universidad Nacional de Moquegua