Following is a presentation of a typical equipment criticality output:
Each bar quantifies the percentage of total production loss attributed to both planned and unplanned maintenance, helping clients visualize where performance bottlenecks truly exist.
Through this analysis, it was revealed that a small subset of high-impact equipment—less than 5% of total assets—contributed to the majority of production losses. This level of diagnostic precision allows decision-makers to prioritize reliability improvements where they matter most.
This chart illustrates how our RAM analysis transforms reliability modeling into actionable asset intelligence, guiding operators toward optimized uptime, lower operating costs, and sustained operational excellence.
Enhancing reliability of critical assets through targeted design upgrades or redundancy improvements.
Refining maintenance strategies balancing planned and unplanned interventions to minimize production interruptions.
Reconfiguring system architecture or critical equipment arrangements (depending on project phase) to meet or exceed availability targets of 95–99%.
This chart illustrates how our RAM analysis transforms reliability modeling into actionable asset intelligence, guiding operators toward optimized uptime, lower operating costs, and sustained operational excellence.
In a $5B+ phosphate mining facility, equipment criticality analysis revealed:
For Alberta SAGD operations, criticality analysis enabled:
Discover which equipment is truly critical to your operation's success. Our RAM analysis provides the data-driven insights you need to optimize reliability and maximize uptime.