Reducing losses 7 min read

How to reduce unplanned downtime

A practical playbook to cut unplanned downtime: measure every stop, find the vital few causes with Pareto, and run improvement against live data.

You reduce unplanned downtime by measuring every stop, ranking causes by the time they cost, fixing the vital few at the root, and proving the gain against live data. It sounds obvious - but most plants skip the first step, and you can't remove a loss you can't see. Here's the playbook.

1. Capture every stop - automatically

The foundation is honest data. Manual logs miss the short stops entirely and round the rest, so the picture they paint is wrong in exactly the place it matters (see minor stops). Measure stops automatically, the moment the line goes down, so nothing slips through and nobody has to remember.

2. Turn stops into reasons

A duration with no cause can't be fixed. Every stop needs a reason code - and the easier that is for an operator, the better your data. One tap at the line, while it's fresh, beats a guessed-at code at the end of the shift. Now your raw downtime becomes a list of causes.

3. Find the vital few with a Pareto

Rank causes by total time lost, not by how often they happen. Almost always, a small number of causes drive most of the downtime - the classic 80/20. Those are where your effort pays off. Chasing a long tail of rare stops is how improvement programmes stall.

4. Fix the root cause, not the symptom

For each top cause, get to the real driver - a simple 5 Whys is usually enough. A recurring jam isn't “operator cleared it”; it's a worn guide, an out-of-spec input, a missing standard. Map each cause to its Big Loss and apply the matching remedy - SMED for changeovers, reliability work for breakdowns, mistake-proofing for defects.

5. Prove the gain against live data

Make one change, then watch the same line's OEE and that cause's downtime in the days after. If the number moved, you've banked real capacity; if it didn't, you learned something cheaply. Running structured improvement cycles (plan-do-check-act) against live OEE is what turns a hunch into a measurable, defensible gain.

6. Sustain it

Standardise what worked, keep the stop capture running, and watch the trend rather than any single shift. Downtime creeps back without a live measure holding the line - see what is a good OEE score on tracking the trend over the trophy.

Key takeaways

  • You can't remove downtime you don't measure - capture every stop automatically.
  • Attach a reason to each stop; one tap at the line beats end-of-shift guesswork.
  • Pareto by total time lost to find the vital few causes worth fixing.
  • Fix root causes, then prove the gain against live OEE - and keep measuring to sustain it.

See your real OEE - on your lines.

Book a 30-minute demo and we'll show you live OEE, automatic stop capture and reporting on a line like yours.