A campus outgrew manual cleaning
Large workshops, long routes and continuous traffic between people and equipment made manual coverage slow and uneven.
80% of floors, robot-run
Cleaning competed with production for the same people, and a schedule nobody could check was not enough. The group wanted floors it could verify.
80% of floors, robot-run
- 80%Floor cleaning by robot
- 5,000–8,000 m²Cleaned per day
- TraceableCoverage and anomalies
Project at a glance
- Industry
- Manufacturing & factories
- Scale
- Multi-plant campuses
- Recommended model
- C5
The situation
What the site looked like before the robots arrived.
A manufacturing-equipment group · Multi-plant campuses
Production staff were cleaning
In some workshops production staff handled the cleaning. It cost output and added work to an already full shift, with no record of what had been covered.
How it was deployed
How the machines were put to work.
Mapping at campus scale
C5 builds a map across the whole site, senses changes in real time and reroutes around people, vehicles and temporary obstacles. Daytime work stays light; nights carry the continuous run.
The process became measurable
Tasks, coverage and anomalies are recorded. Cleaning can be managed like any other operation, and most of the floor no longer depends on a manual shift.
How the day runs
The same route follows the site, not a shift handover.
Maintenance around production
Daily passes keep aisles clear without stopping a line.
Continuous coverage
The site runs a full schedule while production is quiet.
No extra handover
The robot keeps the same route and standard across shifts.
Related
Each project states the venue, the scale and the result the site tracks. Client names are withheld; figures are reported as the project supplied them.