Digital maintenance.
Avoid breakdowns and control maintenance intelligently with GNT
Your benefits with GNT Maintenance – predictive, transparent, efficient
- Planned maintenance instead of emergency interventions - preventive and condition-based planning
- Early detection of failures - through real-time data from MDA and machine messages
- Longer service life for your systems - thanks to structured maintenance processes
- Seamless documentation & traceability - for audits, verification and optimization
Predictive maintenance with a system – more availability, less downtime
With GNT maintenance software, you can plan, document and monitor all maintenance measures in a structured and digital way – from preventive maintenance and condition-based concepts to predictive maintenance based on real-time MDA data. This allows you to increase machine availability, reduce downtime and create maximum transparency in the maintenance process.
Predictive maintenance with AI
Maintenance rethought – data-based, predictive, efficient.
Avoid downtimes, control maintenance cycles intelligently and deploy resources in a targeted manner: With the AI functionalities of the GNT complete solution, you can take your maintenance processes to a new level. The software recognizes typical patterns based on real machine and process data, evaluates fluctuations in real time and predicts impending failures – before they occur.
This means that maintenance measures can be planned at an early stage, unplanned interruptions can be prevented and maintenance intervals can be adjusted as required. Instead of rigid plans, you can act flexibly and with foresight – and thus increase the availability of your machines in the long term.
What our customers say about GNT Systems
Thanks to the GNT.NET MES, we can immediately order the parts we need with a handheld scanner in production, where we assemble the parts, and schedule them for production without any further communication.
On the one hand, this saves us a great deal of time and, on the other hand, we can prevent any communication errors. Thanks to the CMS, we now have a huge database of every activity (repairs, quotations, spare parts, etc.) carried out by our company.
This means that several people can easily carry out several activities without us being dependent on individual people. The GNT.NET MES therefore makes our day-to-day business much easier.
Manager Production Grünig+Elmiger AG
Head of Competence Center Machining, maxon motor GmbH
Traceability of planning and actual production times leads to transparency of unplanned downtimes, production controlling, capacity optimization and control of our continuous improvements.
The system functionalities and the resulting advantages were decisive for our decision in two areas in particular: firstly, the clear, graphical display of machine statuses and secondly, the well-structured NC program data management. […] Today, there is more transparency and a better overview in micro-gear production – the best prerequisites for a further boost in productivity.
Head of Competence Center Machining, maxon motor GmbH
Functional highlights of GNT maintenance
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Targeted maintenance planning
Time- or event-controlled maintenance cycles with automatic notification and scheduling -
Analyze faults & document measures
including machine statuses, cause linking and maintenance history per system -
Audit-proof documentation
Maintenance reports as PDF, complete proof of audits and certifications
Frequently asked questions
on the subject of maintenance
What is predictive maintenance?
Predictive maintenance is a form of condition-based maintenance in which real-time machine data is evaluated in order to detect potential failures at an early stage and prevent them in a targeted manner. The aim is to reduce unplanned downtime, carry out maintenance as required and extend the service life of systems.
Is GNT Maintenance linked to MDA?
Yes, GNT Maintenance is closely linked to machine data acquisition (MDA). This integration makes it possible, for example, to automatically analyze faults, suggest reasons for faults or incorporate maintenance-relevant operating data (e.g. running time, number of cycles) directly into maintenance planning – for greater transparency, fewer breakdowns and targeted intervention.