This episode tackles why Overall Equipment Effectiveness drops—and how to pinpoint the real culprits before they drain profits. We unpack the data-driven workflow that traces every lost minute back to its source, from chronic slowdowns to one-off breakdowns, and show how the DBR77 platform turns raw machine signals into actionable root-cause insights in minutes instead of days. Real-world case snippets—like an appliance plant that boosted OEE 12 % in six months and an automotive line that shaved 15 minutes off each change-over—prove the method works.
When manufacturers don’t chase the “why,” they stay stuck with:

• Unplanned downtimes triggered by breakdowns, operator errors, or material shortages that slash availability.
  
• Lengthy setups and changeovers that eat into every shift’s productive hours.
  
• Machines running below rated speed—a silent speed-loss tax hidden in plain sight.
  
• High defect rates and rework loops that nuke quality and bury deeper process issues.
  
• Undocumented micro-stoppages that seem harmless individually but compound into serious capacity loss.
  
• Fragmented or poor-quality data that makes root-cause analysis feel like guesswork.
  

Tune in to learn a step-by-step playbook for data capture, rapid triage meetings, and continuous-improvement “quick wins” that turn low OEE from a nagging metric into a competitive weapon.

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