V3Qtor AG/Manufacturing/Service and maintenance
Equipment Health Monitor
Sensor data, vibration patterns and historical failures analysed together to predict equipment issues before they stop production. Interventions are prioritised by cost and benefit and placed on the maintenance calendar.
Plannedrepairs on the calendar, not on the line
- Practice
- Predictive Assets
- Sector
- Manufacturing, service and maintenance
- Systems involved
- Master Data Management Layer for asset and work-order data
- Why it matters
- Deloitte's cited average: breakdowns down 70%1.
What it changes in the P&L
Unplanned downtime. At $187,500 per hour in heavy industry, a single predicted failure pays for a quarter of the engagement2.
How the first weeks go
- Connect the telemetry that existsVibration, temperature, current and the maintenance history. Most lines already produce the signal; it is rarely read.
- Build the failure libraryEvery past failure matched to the signal that preceded it. The library grows with every event, and the first predictions come from it.
- Place the calendarPredicted failures become scheduled jobs with parts ordered. The weekly maintenance review runs from the calendar instead of from the last breakdown.
In an engagement
A tier-1 industrial supplier in the DACH region ran it across 14 lines. Telemetry that already existed was connected in the first month, the failure library was built from three years of maintenance history, and the first predicted failures went on the calendar in week six. Unplanned stops moved onto the maintenance calendar, and the engagement paid back inside two quarters3.
What stays
Equipment Health Monitor stays after the engagement. The weekly maintenance and production review runs from its numbers, and the records it produces file into the audit trail. Hand-over comes when the number has held for a quarter.
Talk to us about Equipment Health Monitor.
Tell us where it would run and what it would have to change. We will come back with what we would look at first, what the first quarter produces, and what it would take.
Notes and sources
- 1Deloitte Analytics Institute, Predictive Maintenance, position paper, 2017. Average figures cited: breakdowns down 70%, maintenance costs down 25%, productivity up 25%; uptime up 10 to 20%. Source
- 2Senseye, The True Cost of Downtime, 2021. Fortune Global 500 manufacturing and industrial firms: about 3.3 million hours of unplanned downtime a year, roughly $864 billion, about 8% of revenue; automotive $1.34 million per hour, heavy industry $187,500, FMCG $23,600. Source
- 3Illustrative. Anonymised engagement scenarios; figures indicate modeled or targeted impact and are not audited outcomes.