Rams-based modeling and decision optimization for condition-based maintenance strategies of EMU components

Key Points

• Findings show enhanced decision optimization reduces maintenance costs significantly, leading to better lifecycle management.
• A key metric indicates a reduction of up to 20% in unexpected failures with the implemented strategy.
• Analysis using Rams-based modeling provides a framework for optimizing existing maintenance processes across EMU components.
• Results support the need for ongoing adaptations of maintenance strategies to improve operational efficiency.