Case Study: Noble Plastics achieves predictive maintenance and improved product quality with Oracle IoT Intelligent Applications

A Oracle Case Study

Preview of the Noble Plastics Case Study

Noble Plastics drives performance with insights from IoT

Noble Plastics, a product‑realization company specializing in design, manufacturing, and robotic integration, moved from a traditional job shop to a robot‑driven injection‑molding process and needed to automate operations, increase visibility and control over molding, and eliminate manual intervention costs to improve product quality and efficiency.

Using Oracle IoT Intelligent Applications, IoT Service Monitoring for Connected Assets, and Oracle Fusion Cloud Manufacturing, Noble Plastics pulled real‑time data from robots and molding machines and applied anomaly‑detection and machine‑learning algorithms for predictive maintenance. The solution delivered remote visibility and alerts to engineers, reduced downtime and time spent fixing problems, improved parts quality, achieved an estimated ROI in under a year, and enabled a new robot‑monitoring‑as‑a‑service business model.


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Noble Plastics

Scott Rogers

Technical Director


Oracle

3072 Case Studies