Manufacturing plants rely heavily on Overall Equipment Effectiveness (OEE) to evaluate the performance of production equipment. OEE combines three critical metrics: equipment availability, production performance, and product quality.

At the facility, multiple reactors were used for production processes. Each reactor operated under different specifications and production capacities. Although production data was available through the Distributed Control System (DCS), the company lacked an automated way to process and analyze this data.

Engineers had to manually compile production data from multiple systems and spreadsheets to estimate equipment performance. This approach was time consuming and did not provide timely insights for operational decision making. The absence of a reliable OEE monitoring system made it difficult to identify the root causes of production delays, equipment downtime, or inefficient operating conditions.

To address these challenges, the company partnered with DataTheta to build a data analytics solution capable of extracting production data, computing OEE metrics, and presenting insights in an accessible dashboard environment.