How to Implement Predictive Maintenance in Plastics Manufacturing

This e-book explains how continuous monitoring strengthens reliability and boosts uptime across plastics operations.

Inside, you’ll find:

• Predictive maintenance in plastics operations — learn how to move from reactive maintenance to a proactive approach with minimal disruption.

• Real-world predictive maintenance case studies — see how other plastics plants prevented 1,240 hours of downtime and saved over $1.2M.

• Breaking barriers to predictive maintenance adoption — discover how to overcome challenges like limited bandwidth, legacy systems, and data overload.

• Key maintenance KPIs for plastics manufacturing — improve uptime, MTBF, scrap rate reduction, and ROI to prove measurable value.

‍

Predictive Maintenance in the Plastics Industry: Why It Matters

In plastics manufacturing, every minute of downtime impacts production, quality, and profitability. Predictive maintenance (PdM) enables plastics manufacturers to detect equipment issues early and avoid costly breakdowns before they happen.  

More specifically, by combining continuous monitoring, real-time analytics, and expert human guidance, PdM allows maintenance teams to schedule repairs with confidence, extend asset lifespan, and maintain quality without interruption. The result is a safer, more efficient plant that performs reliably shift after shift.

Download the e-book to see how a proactive maintenance approach can enable more reliable and scalable operations.