Asset and work management involve rigorous practices across all industries yet has never been more important in
transit and transportation. This checklist summarizes the different methods and practices to rethink the transit asset
management model. That means making sure that the right type of maintenance is deployed for the right asset,
at the right time, by the right person, at the right place/point, and for the right condition.
Understanding the Maintenance Maturity Model
Moving assets up or around the range of modes in the Maintenance Maturity Model will help identify which physical assets
are most critical to operations and pose the greatest risks to business continuity.
A new level of transit standards and expectations for
safety and reliability
Checklist
1. Reactive: Repairing the asset after it breaks or malfunctions
2. Preventive: Maintaining assets at pre-scheduled time intervals
3. Condition-based: Repairing assets once a single point of failure is pinpointed
4. Predictive: Predicting asset failure with algorithms and sensor technologies
5. Prescriptive: Identifying potential issues before they happen; laying out the processes and people
necessary to avoid asset malfunction
Using the maintenance maturity model and enterprise asset management as-a-service enables transit operations and
maintenance organizations to move from level 3 to level 4 by leveraging technologies developed in the Maintenance 4.0
paradigm – where asset analytics is the key driver for initiating maintenance. At level 4 maintenance, tactics, and decisions
purely driven by data analytics, whereas level 5 leverages both advanced technologies like artificial intelligence and
machine learning coupled with asset investment planning to determine the most economic tactic for the current
asset's lifecycle.
