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Equipment Criticality Insight: Turning Data into Decisions

Through our RAM analysis we generate equipment criticality charts for every project

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.

Waterfall Chart of Equipment Criticality

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.

Armed with this insight, clients can make strategic, data-driven interventions to achieve higher plant availability:

Enhanced Reliability

Enhancing reliability of critical assets through targeted design upgrades or redundancy improvements.

Refined Maintenance

Refining maintenance strategies balancing planned and unplanned interventions to minimize production interruptions.

System Optimization

Reconfiguring system architecture or critical equipment arrangements (depending on project phase) to meet or exceed availability targets of 95–99%.

Actionable Asset Intelligence

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.

Benefits of Equipment Criticality Analysis

  • Data-Driven Prioritization: Focus resources on equipment that drives the most production loss
  • Capital Optimization: Justify investments in redundancy and upgrades with quantitative evidence
  • Maintenance Strategy: Balance planned vs. unplanned maintenance for optimal availability
  • Spare Parts Management: Allocate inventory budget to truly critical components
  • Risk Mitigation: Identify and address single points of failure before they impact production
  • Performance Benchmarking: Track improvements and validate reliability initiatives

Real-World Application

Mining Industry Example

In a $5B+ phosphate mining facility, equipment criticality analysis revealed:

  • 80% of losses from <2.5% of equipment
  • $15M+ redundancy optimization identified
  • Validated 97%+ availability targets
Oil & Gas Example

For Alberta SAGD operations, criticality analysis enabled:

  • Targeted spares strategy saving $1.8M
  • 99%+ availability achievement
  • Prevented $25M revenue loss

Need Equipment Criticality Analysis for Your Facility?

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.