Machine maintenance
Machines break less. You know why when they do.
Planned maintenance schedules with upcoming and overdue alerts. Downtime logged against every machine. Timeline visualisation shows utilisation patterns. When a washer goes down, you already know what maintenance was due and whether it was done.
OEE tracking
Availability x Performance x Quality. One number per machine.
Availability
Planned production time minus downtime. How often the machine is running when it should be.
Performance
Actual throughput versus rated capacity. How fast the machine runs compared to its specification.
Quality
First-pass yield. How many batches complete without rewash or temperature non-conformance.
OEE is calculated per machine, per shift, and per period. The dashboard shows each machine's current OEE alongside the plant average. Machines consistently below target are flagged for investigation — is it a maintenance issue, an operator issue, or a programme configuration issue?
Maintenance schedules
Planned maintenance. Alerts before overdue.
Every machine has a maintenance schedule — daily checks, weekly cleaning, monthly servicing, annual overhauls. Each schedule item has a frequency, a description of the work required, and an assigned responsible person.
The system fires alerts when maintenance is upcoming and escalates when maintenance is overdue. Upcoming maintenance appears in the Command Centre seven days before the due date. Overdue maintenance is flagged red and cannot be dismissed without recording completion or rescheduling with a reason.
Downtime tracking
Every stop recorded. Every minute accounted for.
When a machine goes down, the operator records the event with a reason code — mechanical failure, electrical fault, planned maintenance, cleaning, awaiting parts. The system captures start time and end time, calculating total downtime per event.
Downtime data feeds directly into the OEE availability calculation. It also surfaces in the Command Centre as a live alert — ops managers see which machines are down, why, and how long they have been offline. Chronic downtime patterns are visible in trend reports.
Machine timeline
Complete history. Every batch, every maintenance event, every downtime.
The machine timeline shows every event in chronological order — wash batches processed, maintenance tasks completed, downtime events recorded, and programme changes. One screen gives you the full picture of a machine's operational life.
Use the timeline to investigate quality issues. If a machine's rewash rate increased after a specific date, the timeline shows what changed — was there a maintenance event? A programme update? A new operator? The data is there without running separate queries.
Related reading
See it on your data, or start with the checklist.
Either path works. Pick whichever fits where you are today.