In manufacturing industries, optimizing productivity is key to success. Two important metrics used to measure equipment effectiveness are Total Effective Equipment Performance (TEEP) and Overall Equipment Effectiveness (OEE). While both metrics measure equipment effectiveness, they differ in their approach. In this article, we will explore the differences between TEEP and OEE and their importance in manufacturing industries.

What is TEEP?

TEEP measures the maximum potential of a production line, including planned downtime, changeover, and maintenance time. It is calculated by multiplying the availability, performance, and quality rates of a machine or process, including all planned downtime.

What is OEE?
OEE measures the actual performance of a production line during the time it was scheduled to run. It is calculated by multiplying the availability, performance, and quality rates of a machine or process, but only includes unplanned downtime.

What are the Differences between TEEP and OEE?
TEEP includes all downtime, whether planned or unplanned, while OEE only includes unplanned downtime. Therefore, TEEP provides a more comprehensive view of the production line’s performance, while OEE focuses on the actual production time.

Why are TEEP and OEE Important in Manufacturing Industries?
Both TEEP and OEE are critical KPIs for manufacturing industries. By tracking TEEP and OEE, organizations can optimize their processes, reduce downtime, and increase productivity.

Case Study: Creating a Microsoft Power BI Dashboard to Visualize OEE

To demonstrate the importance of OEE in manufacturing industries, we created a dashboard using Microsoft Power BI to visualize OEE data for a production line. The dashboard displays OEE data in real-time, allowing users to monitor performance and identify areas for improvement.
The dashboard includes visualizations for availability, performance, quality, and OEE, as well as a breakdown of downtime reasons. This helps users identify the root cause of any issues and take corrective action.
Using the Microsoft Power BI dashboard, users can drill down into OEE data to identify trends and patterns, helping organizations make informed decisions about process improvements and optimization.

Conclusion
TEEP and OEE are both critical KPIs for manufacturing industries. While TEEP provides a more comprehensive view of a production line’s performance, OEE focuses on actual production time. By tracking TEEP and OEE, organizations can optimize their processes, reduce downtime, and increase productivity. The Microsoft Power BI dashboard is a powerful tool for visualizing OEE data and identifying areas for improvement.