What if the biggest source of lost profit in your factory isn't a major breakdown, but the thousands of tiny, unrecorded stops that happen every day? Machine downtime—from micro-stops to major failures—silently drains your efficiency, delays orders, and wastes resources. Without precise data on why and for how long machines are idle, any attempt at improvement is just a shot in the dark.In episode 14 of "Factory on Air," we turn the lights on. We challenge the idea that downtime is an unavoidable cost and show you how to transform it into your most valuable source of data for continuous improvement.In this episode, you will learn:The 'Micro-Downtime' Effect: Why even stops lasting a few seconds can accumulate into massive weekly losses and how to start seeing them.From Chaos to Clarity: Practical methods for tracking every machine stop and how to classify them for meaningful analysis (e.g., technical failure, changeover, material shortage).Data-Driven Decision Making: How to analyze downtime data to identify your most problematic machines , uncover recurring issues , and move from random fixes to systemic solutions.AI-Powered Insights: A look at how the DBR77 platform automatically records every stop to the second , uses AI to detect patterns , and visualizes bottlenecks on a Digital Twin.Real-World Results: Hear how companies have reduced downtime by up to 30% and boosted OEE by 10%  by implementing these strategies.This episode is an essential guide for any Production Manager or Plant Director who is tired of guessing where their capacity is going and is ready to make decisions based on hard data.Ready to uncover your hidden factory?Our experts can help you build a clear strategy for downtime analysis. Schedule a complimentary discovery call to discuss how you can turn lost time into a competitive advantage.Book your session here: Link#FactoryOnAir #DBR77 #Downtime #DowntimeAnalysis #OEE #ManufacturingEfficiency #LeanManufacturing #SmartFactory #IIoT #ProductionManagement #RootCauseAnalysis #ContinuousImprovement

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