Asset Reliabilityv1

Mean Time Between Failures (MTBF)

The predicted elapsed time between inherent failures of a mechanical or electronic system during normal operation.

Owner: Unassigned
Updated: 10/30/2025
Calculation Formula
ENGLISH
Total Operational Time / Number of Failures
Python Example
A pump that ran for 10,000 hours with 5 failures has MTBF of 2,000 hours.
Entity Applicability
Which business entities use this KPI
Standard Calculation
8 of 8 entities
100%
Entity-Specific Notes

Key metric for reliability engineering and predictive maintenance. Higher MTBF indicates more reliable assets.

Entity List (8)
MENA-01•Dubai Terminal
EU-02•Hamburg Terminal
HQ•Headquarters
ASIA-02•Hong Kong Terminal
EU-01•Rotterdam Terminal
ASIA-01•Singapore Hub
US-01•US East Terminal
US-02•US West Terminal
Additional Information
Industry
Energy & Utilities, Heavy Manufacturing, Transportation & Logistics
Tags
Energy & UtilitiesHeavy ManufacturingTransportation & Logistics
Status
active
Local Network
Data Quality Dependencies
Critical DQ dimensions for this KPI
Accuracy
high

The degree of closeness of data values to real values.

Critical for Mean Time Between Failures (MTBF) accuracy and reliability

Completeness (Data values)
high

The degree to which all required data values are present.

Critical for Mean Time Between Failures (MTBF) accuracy and reliability

Timeliness
high

The degree to which the period between the time of creation of the real value and the time that the dataset is available is appropriate.

Critical for Mean Time Between Failures (MTBF) accuracy and reliability

Uniqueness (Records)
high

The degree to which records occur only once in a data file.

Critical for Mean Time Between Failures (MTBF) accuracy and reliability

Quick Stats
DQ Dependencies4
Applicable Entities8/8
Versionv1
API Access
GET /api/kpis/mean-time-between-failures-mtbf