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Factory on Air

Piotr Wiśniewski

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Factory on Air is a podcast series that brings you into the heart of modern manufacturing, exploring real‐time data monitoring, predictive maintenance, and AI‐driven digital twins to boost efficiency and cut costs.
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Are the seven wastes of Lean—transport, inventory, motion, waiting, overproduction, over-processing, and defects—silently draining your profits? Identifying them is one thing, but eliminating them without disrupting your live production floor is a monumental challenge. Traditional trial-and-error improvements are often slow, risky, and based on ass…
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What if you could test every production scenario before it happens? Stop making critical operational decisions based on intuition and start using data to find the optimal way to run your factory. In a dynamic industrial reality, sticking to a single, rigid production plan leads to inefficiency and missed opportunities. In this episode of Factory on…
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What if you could run your new factory for a year before the first brick is even laid? Stop making multi-million dollar investment decisions based on static blueprints and start testing your future operations in a risk-free virtual world. Costly design flaws—from unbalanced lines to cramped logistics spaces—are often discovered only after a new pla…
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Are your business decisions based on a complete picture of your factory, or just fragments of old data? Relying on delayed reports means you're always one step behind, reacting to problems instead of preventing them. This lack of a live, holistic view leads to hidden inefficiencies, slow responses, and missed opportunities for improvement. In this …
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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…
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Tired of maintenance reports that just say "machine broken"? Vague communication and guesswork don't just frustrate your maintenance team ; they lead to longer downtime, repeat failures, and wasted resources. Every minute spent on the wrong diagnosis is a minute of lost production. In episode 13 of "Factory on Air," we challenge the reactive, "fire…
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What if your production employees knew exactly what to do, why, and how—every second of their work? No more guesswork, mistakes, or downtime resulting from information chaos. Many production line workers still work “blind” – without access to current targets, instructions, or schedule changes. This is a surefire recipe for mistakes that cost real m…
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This episode uncovers how manufacturers can transform chaotic, delay-prone schedules into precise, data-driven production plans—so orders ship on time, machines run at optimal capacity, and teams work without the constant fire-fighting. You’ll discover how real-time machine data, material availability checks, and “what-if” simulations turn planning…
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This episode demystifies how to determine true production capacity and build data-driven work standards—so planners can schedule with confidence and frontline teams know exactly what “good” looks like. You’ll hear how digital twins and scenario-based simulations expose the hidden impact of micro-stoppages, staffing changes, and layout tweaks, while…
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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 insigh…
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This episode puts Overall Equipment Effectiveness (OEE) under the microscope and shows how data-driven tools—from IoT sensors to full-blown digital twins—help uncover and eliminate hidden production losses. We explain what OEE really measures (Availability × Performance × Quality), walk through proven methods for capturing micro-stoppages in real t…
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Is your company still making production decisions based on yesterday's reports? It's a simple path to waste, delays and frustration. In the latest episode of our podcast, we delve into the world of real-time data. Learn why metrics like OEE and cycle times, monitored live, are a revolution in production management. We'll explain how IoT technology …
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In the latest episode of the podcast, we talk about how to improve product quality and reduce defects. You'll learn about the cost of defective products to a company, how vision systems help detect defects and why monitoring production conditions is so important. We will also give examples of companies that have significantly improved their quality…
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In the latest episode of the “Reducing Operating Costs in Production” podcast, we talk about where high costs come from - energy, materials, labor - and how to reduce them. You'll learn how to monitor energy consumption on a regular basis, how simulations help plan for savings, and which companies have already done it successfully. We'll also tell …
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In the latest episode of the podcast, we take on production optimization. We'll talk about how to identify the places that are slowing down your work, and why data is key. We'll also explain how simulations help test changes without the risk of stopping production. We'll give examples of companies that have significantly improved their performance …
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This episode explains how unplanned machine downtime negatively impacts production and supply chains, causing significant financial and operational losses. Modern technologies such as real-time monitoring and predictive maintenance are discussed. By collecting and analyzing machine data, companies can detect anomalies early and predict potential fa…
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This episode introduces predictive maintenance (PdM) as a strategy for preventing costly unplanned downtime in manufacturing environments. Unlike traditional methods, PdM uses intelligent analysis of machine sensor data and artificial intelligence (AI) algorithms to predict potential failures before they occur. By analyzing trends and anomalies in …
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Podcast discusses the importance and practice of real-time production monitoring in the context of dynamic manufacturing environments. It defines this as the continuous collection, transmission, and analysis of operational data from machines, production lines, and processes. This provides an up-to-date view of the factory floor without delays or ma…
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