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 failures, enabling planned maintenance instead of costly emergency repairs and ultimately reducing unplanned downtime and associated costs.

The podcast outlines the steps involved in implementing such systems and highlights the challenges, while giving examples of successful implementations in the industry.

👉 Read the full article:
🔗 How to Minimize Unplanned Machine Downtime? – A Practical Guide for Manufacturing Leaders

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