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Avoiding the Scramble for Parts With Predictive Maintenance

Data collection advancements like smart sensors are allowing companies to be proactive about part replacement.

Smart sensors could help provide new and useful predictive maintenance data.
Smart sensors could help provide new and useful predictive maintenance data.
PMMI Business Intelligence, 2022 The Future of Automation in Packaging and Processing

Predictive maintenance innovations are allowing manufacturers to avoid parts supply headaches before they happen.

That’s according to PMMI Business Intelligence’s 2022 report “The Future of Automation in Packaging and Processing.” This news is especially beneficial for packagers, as the report notes 70% of consumer packaged goods (CPG) companies say their packaging machinery is at least slightly more likely to experience downtime than other machine types.

Regular and routine maintenance to keep machines running and avoid costly downtime has historically been the order of the day, but this does not stop machines from eventually grinding to a halt as parts wear out.

“Usually we don’t find out anything is wrong until the thing breaks down and then a line is down and we’ve got people standing around and our maintenance guy is running around like crazy trying to fix it,” one CPG representative said in the report, highlighting the need for some predictability.

Data analytics have been used to assess operational conditions for years, with many setups connected to historians to track machine performance. But many more are not connected, and measurements collected by existing infrastructure are not necessarily the ones needed to be most effective at performing predictive maintenance.

Smart sensors spot the unexpected

Enter “smart sensors,” an emerging category of hardware disrupting the status quo of predictive maintenance.

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