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The Mean Time To Resolve (MTTR) Equipment Report measures the average time taken to resolve issues or faults across different pieces of equipment.
This report helps identify which assets are resolved quickly versus those that take longer to repair, providing a valuable metric for maintenance efficiency and equipment reliability analysis.
It highlights the top 100 best-performing equipment (resolved the quickest) and the top 100 worst-performing equipment (taking the longest to resolve) within the selected timeframe.
This report supports:
Measuring maintenance team responsiveness and repair efficiency.
Identifying equipment that frequently experiences prolonged downtime.
Supporting resource planning and maintenance process improvements.
Benchmarking performance across equipment and branches.
Whether you’re a maintenance manager, operations lead, or reliability engineer, the MTTR Equipment Report enables data-driven decisions that improve uptime and service quality.
Getting There
To access the Mean Time To Resolve (MTTR) Equipment Report , follow these steps:
Open the Business Intelligence module.
Click on the Reports sub-module.
In the Reports window, navigate to the Equipment category.
Click on the Mean Time To Resolve Equipment Report module to open the report.
Add the desired filters (explained below), then click the Apply button to generate the report.
Available Filters and Their Impact
Use the filters at the top of the report to refine your data selection and focus on specific periods or operational branches:
Period: Filters the report based on the timeframe of analysis. it determines which stoppage and repair records are included when calculating mean resolution times.
Tip: Choose a longer period to see long-term repair trends or a shorter one for recent maintenance performance.
Branch: Filters the report by the branch (or depot) that the equipment belongs to. It automatically uses the branch selected in the main Service Geeni interface.
Tip: Leave blank to review results across all branches for a full organisational view.
Tabs Overview
The Mean Time To Resolve Equipment Report includes two tabs that compare resolution performance extremes:
Best: Displays the top 100 best-performing equipment, sorted from the least time to resolve upwards.
Highlights equipment that is consistently repaired quickly, demonstrating efficient maintenance turnaround.
Worst: Displays the top 100 worst-performing equipment, sorted from the longest time to resolve downwards.
Highlights equipment that experiences longer resolution times, indicating potential issues in accessibility, complexity, or maintenance delays.
Column Breakdown and Key Fields
Each row in the report represents an individual piece of equipment, ranked by its mean time to resolve during the selected period.
Column Name | Description |
Rank | Indicates the equipment’s ranking within either the Best or Worst list, based on its mean time to resolve performance. |
Equipment ID | The unique identification number of the equipment being analysed. |
No. of Calls Stopped | The total number of stoppage calls (downtime events) recorded for the equipment within the selected period. |
Mean Time To Resolve: Hours | The average time (in hours) the equipment remains offline due to repair work. Calculated as total offline time ÷ number of stoppage calls. |
Mean Time To Resolve: hh:mm:ss | The same metric as above, displayed in hours, minutes, and seconds for easier interpretation. |
Insight: A shorter Mean Time To Resolve indicates efficient repair practices and well-managed maintenance operations. Conversely, longer resolution times may suggest complex issues, spare part delays, or skill gaps that require further investigation.
This report is a key performance monitoring tool for evaluating maintenance efficiency and equipment reliability.
Review this report regularly (e.g., monthly or quarterly) to monitor repair trends and evaluate the impact of maintenance initiatives.
Combine it with related reports such as the Mean Time To Failure Equipment Report or Repeated Failures Report to gain a comprehensive view of asset performance and maintenance effectiveness across your organisation.