Overall Equipment Effectiveness
Pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook
Achieve performant and scalable end-to-end equipment monitoring
For operational teams within manufacturing, it’s critical to monitor and measure equipment performance. The advancements in Industry 4.0 and smart manufacturing have allowed manufacturers to collect vast volumes of sensor and equipment data. Making sense of this data to measure productivity provides a crucial competitive advantage.
Overall Equipment Effectiveness (OEE) has become the standard for measuring manufacturing equipment productivity.
The computation of OEE has traditionally been a manual exercise, and has been difficult to compute at the latency and scale required with legacy systems. In this Solution Accelerator, we demonstrate how the computation of OEE may be achieved in a multi-factory environment and in near real-time on Databricks.
Get started with our Solution Accelerator for OEE to realize performant and scalable end-to-end equipment monitoring to:
- Incrementally ingest and process data from sensor/IoT devices in a variety of formats
- Compute and surface KPIs and metrics to drive valuable insights
- Optimize plant operations with data-driven decisions