← Metrics Reference | Equipment Performance Phase 1

Unplanned Downtime

Total time equipment is stopped due to unexpected failures, breakdowns, or other unplanned events — the primary target for reliability improvement.

Formula

(Unplanned Downtime ÷ Planned Production Time) × 100%

Benchmarks

World-class: <5% of planned production time Good: 5–10% Typical: 10–20% Poor: >20%

What Is Unplanned Downtime?

Unplanned Downtime is the total time equipment is stopped due to unexpected failures, breakdowns, or other events that were not scheduled. It is the most directly actionable reliability metric — every hour of unplanned downtime represents lost production that was expected to happen.

The Formula

Unplanned Downtime % = (Unplanned Downtime ÷ Planned Production Time) × 100%

It can also be tracked as absolute hours per shift, day, week, or month.

Benchmarks

LevelUnplanned Downtime %
World-Class<5% of planned production time
Good5–10%
Typical10–20%
Poor>20%

Data Requirements

SourceRequiredWhat You Need
Machine DataYesMachine state transitions, timestamps, stop durations
ConfigurationOptionalDowntime reason code definitions (planned vs unplanned classification)

Unplanned Downtime is a Phase 1 metric — it requires only basic machine state tracking.

Why It Matters

  • Quantifies reliability problems — the total impact of all failures in one number
  • Enables cost calculation — unplanned downtime × production value per hour = lost revenue
  • Highlights improvement priorities — Pareto analysis of downtime causes reveals where to focus
  • Tracks maintenance effectiveness — the trend over time shows whether reliability is improving
  • Justifies reliability investments — the cost of downtime provides the ROI basis for improvement projects

Common Pitfalls

  • Inconsistent classification of planned versus unplanned — this must be clearly defined and consistently applied
  • Counting changeovers as unplanned — changeovers are planned stops, even if the timing was adjusted
  • Operator-induced stops incorrectly classified — these may need their own category

Best Practices

  • Use Pareto analysis to identify the top downtime causes — typically 20% of causes drive 80% of downtime
  • Track by reason code for targeted improvement — “machine down” is not a useful reason code
  • Calculate the cost impact of each downtime category to prioritise efforts
  • Set reduction targets and monitor progress weekly
  • Investigate any increase in unplanned downtime immediately — it often signals a developing problem
  • Uptime Percentage — the inverse view
  • Planned Downtime — the counterpart; together they account for all non-productive time
  • MTBF — how often failures occur
  • MTTR — how long each failure takes to resolve
  • OEE — unplanned downtime directly impacts the Availability component