V3Qtor AG/Manufacturing/Service and maintenance
ATEX Maintenance Routine
Voice-controlled checklists, automatic spare-parts ordering, digital signatures and paperless documentation for Ex-rated equipment. The technician keeps both hands on the job; the record writes itself and the ERP sees the part the moment it is used.
Voicechecklists, hands on the equipment
- Practice
- Workforce & Field Enablement
- Sector
- Manufacturing, service and maintenance
- Systems involved
- ShieldOS for signatures and evidence; Master Data Management Layer for parts and ERP posting
- Why it matters
- Maintenance planning time down 20 to 50% in Deloitte's range1.
What it changes in the P&L
Maintenance labour and spare-parts inventory. The number of jobs a technician closes per shift is the throughput of the whole maintenance organisation.
How the first weeks go
- Turn the procedure into stepsThe checklist, the SOP or the script becomes a sequence a person can follow by voice or on a screen, in their own language.
- Run it with one teamOne shift, one crew, one desk. Our engineers work alongside them for the first weeks and change what does not fit.
- Let the record write itselfEach completed step files its evidence: signature, photo, part used, time. The ERP and the compliance board see it the moment it happens.
In an engagement
A machine builder in eastern Switzerland moved its Ex-equipment checklists from paper to voice. Technicians stopped writing up jobs at the end of the shift, and spare parts were posted to the ERP from the checklist instead of from a form filled in at the end of the day2.
What stays
ATEX Maintenance Routine 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 ATEX Maintenance Routine.
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
- 2Illustrative. Anonymised engagement scenarios; figures indicate modeled or targeted impact and are not audited outcomes.