Is unplanned downtime still treated as an unavoidable cost of doing business in your plant? Every minute a machine stands still costs money in lost output, emergency repairs and customer trust.
This episode is a practical guide to moving from reactive firefighting to a proactive, data-driven maintenance strategy that uses IoT data to predict failures before they stop the line.
In this episode, you’ll discover
- The direct and indirect costs of downtime, from delivery penalties to the domino effect on the supply chain
- How simple IoT sensors for temperature, vibration and cycles give early warning signs of failure
- The ROI of predictive maintenance: lower repair costs, longer machine life and a predictable budget
- How an automotive components factory cut failures by 40% and an appliance maker saved €500,000 a year
- A 7-step plan to start monitoring critical assets without disrupting operations
Read the full article: dbr77.com/how-to-effectively-monitor-production
Want to see how this works in your plant? Book a free session with a DBR77 expert: Book a meeting
Listen to Factory on Air on Spotify or watch all episodes on YouTube.
