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What is the most effective wayPlants and asset-heavy operationsUse case, not a client result

How many technicians and spares do we need to hit our uptime target?

Model breakdowns, repair times and spares to find the cheapest way to hit uptime.

The decision it informs

Technician cover by shift, which spares to hold and which maintenance routine to adopt.

Why a dashboard cannot answer it

A dashboard shows downtime and mean time to repair. It cannot say what would happen with one fewer technician on nights, or one more spare on the shelf, because the answer depends on how failures bunch up.

What we ask in the first week

The questions behind the question.

  • What uptime target matters, and what does a lost hour cost?
  • How do breakdowns cluster by line, shift or asset age?
  • Which spares cause the longest waits?
  • What does the maintenance team do that never reaches a ticket?
Data we would look at
Breakdown and work-order historyRepair times and technician logsSpares stock and lead timesAsset age and service recordsProduction schedule
How we would analyse it

Methods, chosen for this question.

Failure pattern analysisWhen and where breakdowns cluster, and which assets drive most of the downtime.
Queue simulationHow waiting for a technician or a spare builds up under different cover.
Routine comparisonWhich preventive routine goes with fewer failures, tested against the history.
  1. 01Scope
  2. 02Immerse
  3. 03Analyse
  4. 04Test the evidence
  5. 05Read out and hand over
What you would get

Findings you can act on.

A downtime mapThe few assets and times behind most of the lost hours.
A cover modelUptime against technician cover and spares policy, with the cost of each option.
A routine recommendationWhich preventive schedule to adopt, with the evidence.
How a driver ranking readsSchematic, no values
Each bar is the size of a factor's effect and the marker is the range around it. In a real deep dive both come from your data.
Scenarios you could then run

Ask what-if, on your own numbers.

  • What if night shift gains one technician?
  • What if the three slowest spares are stocked?
  • What if the preventive routine moves to a fixed monthly slot?
Try a what-if playground →
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