Your maintenance technicians solve problems every day that machine operators could actually solve themselves. This ties up valuable skilled staff, extends response times, and wastes unnecessary time in ongoing production operations.
In our free webinar, we will show how to improve this work allocation in a targeted way. The focus is on the question: How can machine operators resolve more faults independently without having to build up additional expert knowledge?
Using practical examples from production, we will show how MADDOX connects existing expert knowledge with machine data. The AI assistant detects faults and learned data patterns and provides machine operators with suitable recommended actions directly at the machine.
This makes existing knowledge available exactly where it is needed. Machine operators can resolve more issues independently, while maintenance can focus on the tasks for which their expertise is truly required.
What to expect in the webinar:
- Why today’s task allocation ties up valuable maintenance resources
- Which faults machine operators can resolve independently
- How machine data and existing expert knowledge are brought together
- How MADDOX supports machine operators step by step in troubleshooting
- What impact better work allocation can have on downtime and production output
- Time for your questions in a final Q&A session
The webinar is aimed at production managers, maintenance managers, and decision-makers in manufacturing companies who want to deploy their skilled staff more efficiently, empower machine operators, and reduce downtime.
