{"id":8755,"date":"2026-09-28T13:00:04","date_gmt":"2026-09-28T11:00:04","guid":{"rendered":"https:\/\/peerox.de\/events\/more-output-through-better-work-allocation-webinar-in-english\/"},"modified":"2026-10-15T14:31:05","modified_gmt":"2026-10-15T12:31:05","slug":"more-output-through-better-work-allocation","status":"publish","type":"event","link":"https:\/\/peerox.de\/en\/events\/more-output-through-better-work-allocation\/","title":{"rendered":"Webinar: More output through better work allocation"},"content":{"rendered":"\n
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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. <\/p>\n\n\n\n

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?<\/strong> <\/p>\n\n\n\n

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. <\/p>\n\n\n\n

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. <\/p>\n\n\n\n

What to expect in the webinar:<\/strong><\/p>\n\n\n\n