Implementation of a Cloud-Based ERP System for Optimized Inventory and Supply Management in Space Stations and Long-Duration Missions

Huaman Simeon V.R.; Quintana Quispe F.R.; Roman-Gonzalez A. · Proceedings of the International Astronautical Congress, IAC (2025) · DOI: 10.52202/083088-0083

Resumen

Long-duration space missions require autonomous inventory oversight to manage critical supplies. This paper presents the validation of a module embedded in an ERP system that provides a comprehensive dashboard of resource status. The system uses an adaptive prediction engine that combines a 30-day consumption history with default values for new items, enabling increasingly accurate depletion projections as the mission progresses. Based on category thresholds, it classifies each item’s risk (OK, Warning, Critical). In addition, an autonomous scheduler generates a consolidated alert summary each day at a scheduled hour, ensuring continuous situational awareness. In a 30-day simulated scenario, the module demonstrated its capability to sustain monitoring and issue timely alerts without human intervention, validating its feasibility as a decision-support tool in isolated environments. Copyright

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