Regardless of the industry, for all companies with intensive asset management needs, maintenance strategy is imperative to maintaining uptime and reliability. Measuring the maturity of your Asset Management strategy is most commonly addressed with the Asset Maintenance Maturity Model which has been around for some time. The levels are as follows:

Asset Maintenance Maturity Model

Stage 1 – Reactive Maintenance

This is the chaotic approach to maintenance where you wait for the worst to happen and jump to address it.

Stage 2 – Planned Maintenance

Maintenance schedules are established based on fixed timeframes.

Stage 3 – Preventative Maintenance

Using a formal process, maintenance schedules are defined and information is collected.

Stage 4 – Predictive Maintenance

Using Sensor Data to predict failures instead of waiting for them to occur or scheduling based on time intervals.

Stage 5 – Advanced Optimized Predictive Maintenance

Assets are monitored in real time using integrated sources of data.

Using Technology to Predict Maintenance

The reliance on technology has increased multiple times over with the impact of the pandemic. Costs of sensors is relatively low in comparison to an outage and can be utilized, reported on and analyzed. Particularly if you’re using software such as a CMMS. By using sensors, you can increase monitoring and decrease the overhead to do so while avoiding impact on current procedures. The asset health data will provide a proactive window for maintenance keeping everything running smoothly.

It’s hard to think about switching all at once so consider running traditional maintenance in parallel to Predictive Maintenance. This will allow you to decide how you want to use the Asset Health insight.

Next Steps

If you’re looking to move from a traditional maintenance system such as paper and pen or spreadsheets, the next steps should be implementing a CMMS system such as Maxpanda. Book a free demo to find out how it can work with your business.