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Service KPIs
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Mean Time Between Failures (MTBF)

Production Schedule Adherence

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Category:  
Analytical

Measures the average time between equipment or system failures.

What it Measures ?

How long equipment works before it fails.

Relevant StakeHolders 

Maintenance, Engineering

Why it Matters ?

Tracks reliability and efficiency of equipment.

In-depth Use Case / Real-world Example

MTBF is calculated by dividing the total operational time by the number of failures in that time frame. For example, if a machine runs for 2,000 hours and fails 4 times, MTBF is 500 hours. This KPI is critical in manufacturing environments to assess equipment reliability and improve maintenance scheduling. Higher MTBF means more stable and efficient operations, contributing to higher service quality and customer trust.

KPI Definition

Business Value

Movement Direction

Sample Formula

Mean Time Between Failures Analysis

Should Aim For
1
2
3
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