Reparable Systems Analysis for Fleet Equipment Using Crow- AMSAA Model and AI
Abstract
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).
Fields of Study & Subjects
Reliability and Maintenance Optimization
Software Reliability and Analysis Research
Power System Reliability and Maintenance
Publication details
- Journal / source
- Annual Reliability and Maintainability Symposium (RAMS)
- Pages
- 1–6
- Publication date
- 26 January 2026
- Language
- EN