Optimización de la confiabilidad de flotas de transporte con el método Crow AMSAA a través de herramientas de software libre

Abstract

Reliability is crucial for assessing a system's ability to operate without failures, especially in fleet management where efficiency and safety depend on vehicle reliability. The most prominent methods include the Weibull distribution, ideal for non-repairable products, and the Crow-AMSAA model, suitable for repairable systems like vehicles. The latter identifies failure trends and estimates key parameters such as the failure rate and MTBF, aiding in preventive maintenance planning. A Python tool using Crow-AMSAA was developed, tested with real data, demonstrating its accuracy and usefulness in managing operational reliability.