Reparable Systems Analysis for Fleet Equipment Using Crow- AMSAA Model and AI

Casilla A. · Proceedings - Annual Reliability and Maintainability Symposium (2026) · DOI: 10.1109/rams50514.2026.11424478

Resumen

OBJECTIVEThis paper aims to highlight the importance of reliability analysis when applied to reparable systems and how it can assist managers, supervisors, and technical professionals in determining the optimal replacement or overhaul time for a fleet of reparable equipment. It also demonstrates how this analysis can aid in forecasting failures, costs, and mean time between failures (MTBF).