In asset management, a criticality score is a numerical value that indicates how essential an asset is to business operations based on its potential impact in case of failure. It helps organizations prioritize maintenance efforts by evaluating factors such as operational disruption, safety risks, compliance, cost of downtime, and availability of backups. A higher score reflects a more critical asset that requires closer monitoring and proactive maintenance, while a lower score represents minimal operational impact. This scoring system enables more thoughtful decision-making, helping organizations prioritize their maintenance efforts effectively by identifying which assets are most critical to business operations. This article explains how the CMMS platform calculates and manages the asset criticality score.
What is an Asset Criticality Score?
The criticality score is a numerical representation (ranging from 0 to 100) that helps classify assets into four levels of importance: Low, Medium, High, and Critical. This scoring helps ensure that highly critical assets receive the appropriate maintenance attention to minimize risk and downtime.
Why Criticality Score Matters
Asset criticality is essential for identifying how asset failure may impact production, safety, and operational continuity. The criticality score and corresponding asset risk score (ARS) help maintenance teams prioritize tasks and implement preventive or corrective actions. The ARS also informs the system to generate maintenance recommendations automatically.
How to Calculate Criticality Score
In Fogwing CMMS, while users can select predefined criticality levels or inherit scores from asset categories, organizations may choose to calculate the criticality score using a weighted method based on key risk factors. A standard formula used in asset management is: Criticality Score = (EOF + POF + WS) / 3
Asset Criticality Score Model
The Asset Criticality Score is calculated based on three primary criteria:
Parameter | Description |
EOF (Effectiveness of Failure) | Measures how severe the operational impact is when the asset fails |
POF (Possibility of Failure) | Evaluates the likelihood of failure based on historical trends |
WS (Workplace Safety) | Assesses the risk to employee safety if the asset fails |
Each parameter is rated using predefined operational values.
Scoring Tables
1. Effectiveness of Failure (EOF)
Impact Type | Score |
Minor | 25 |
Slow | 50 |
Stopped | 75 |
Loss | 100 |
2. Possibility of Failure (POF)
Scoring matrix for different failure likelihoods:
POF Level | Minor (25) | Slow (50) | Stopped (75) | Loss (100) |
May be (25) | 25.0 | 41.7 | 58.3 | 75.0 |
Possible (50) | 33.3 | 50.0 | 66.7 | 83.3 |
Mostly (75) | 41.7 | 58.3 | 75.0 | 91.7 |
Happening (100) | 50.0 | 66.7 | 83.3 | 100.0 |
3. Workplace Safety (WS)
Safety Impact | Score |
Unknown | 25 |
Yes | 50 |
May be | 75 |
No | 100 |
Criticality Score Formula
The final Criticality Score is calculated as:
Criticality Score = (EOF + POF + WS) / 3
This average score helps determine how critical an asset is to the organization.
Example: Calculating Asset Criticality Score
Let’s say we are evaluating a Conveyor Belt in a production line.
Step 1: Define Input Parameters
We’ll rate the asset based on the three key criteria:
Parameter | Chosen Value | Score |
EOF (Effectiveness of Failure) | Failure would Stop the line | 75 |
POF (Possibility of Failure) | Failure is Mostly likely, and it would Stop operations | 75.0 (from matrix) |
WS (Workplace Safety) | Failure may be a safety hazard | 75 |
Step 2: Use the Formula
Criticality Score = (EOF + POF + WS) / 3
=(75 + 75.0 + 75) / 3
= 225 / 3
= 75.0
Determine Criticality Level Based on Score
Level | Score Range |
Low | 0 – 25 |
Medium | 25 – 50 |
High | 50 – 75 |
Critical | 75 – 100 |
Result: The asset's Criticality Score is 75, so the Criticality Level is "High".
Once calculated, the criticality level is automatically assigned to each asset. This level is also displayed in the asset details view for better visibility and tracking.
Here’s a clear and professional conclusion for your knowledge base article:
Conclusion
Understanding and calculating the Asset Criticality Score in Fogwing CMMS enables organizations to take a more strategic approach to maintenance planning. By evaluating how likely an asset is to fail, how severe the impact would be, and the potential safety risks involved, teams can proactively identify which assets require the most attention. This ensures that maintenance resources are allocated effectively, minimizing downtime and improving operational efficiency. Fogwing CMMS simplifies this process by providing a structured model and user-friendly interface to define, calculate, and manage asset criticality, helping organizations maintain control over their asset performance and reliability.
For any feedback and inquiries on how to calculate the criticality score in Fogwing CMMS, write to our support team at [email protected]