Maximize manufacturing efficiency by distinguishing between OEE and TEEP. While OEE tracks performance during scheduled shifts, TEEP reveals total capacity by accounting for all 365 days. Use these production optimization metrics to identify underutilized assets, reduce top losses, and drive data-driven continuous improvement across every process in the plant.
The Critical Distinction: OEE vs. TEEP
In the industrial sector, understanding how your equipment actually performs versus its theoretical maximum is the cornerstone of operational excellence. Most teams focus on OEE (Overall Equipment Effectiveness), which measures how well a machine performs during its scheduled time. To gain a full picture of production monitoring, it is necessary to also evaluate TEEP (Total Effective Equipment Performance).
The fundamental difference lies in the “Loading” element. OEE ignores time when the plant is shut down for holidays, weekends, or unscheduled shifts. TEEP, conversely, views the world through a 24/7 lens, providing the high-level performance production insights necessary for long-term scaling.
The Formulas for Performance Production Insights
To ensure manufacturing process improvement, these calculations are provided as built-in metrics in Ekho Klarity to ensure they are applied consistently across your shop floor.
OEE = Availability x Performance x Quality
TEEP = OEE x Utilization
(Where Utilization is Scheduled Time divided by All Calendar Time)
Why TEEP Matters for Capacity
Focusing solely on OEE can be misleading. A machine might have 90% OEE during an 8-hour shift, but if it sits idle for the other 16 hours, your TEEP is significantly lower. This gap represents your actual available capacity, the production potential you already own but aren’t currently utilizing.
Real-World Applications in the Process Industry
The seasonal surge in packaging: A food manufacturer has a high-speed filling line. During peak season, their OEE is 85%, suggesting they need a new line. However, their TEEP reveals they are only running two shifts. By adding a third shift, they increase throughput without the capital expense of new equipment.
Bottleneck identification in filling: A labeling machine consistently reports 95% OEE, yet the plant fails to meet daily volume targets. TEEP analysis uncovers that the machine is frequently left unscheduled because sluggish upstream mixing processes cannot keep pace. This realization shifts the manufacturing process improvement focus away from the “efficient” labeler and toward the true bottleneck in the mixing stage.
Capacity expansion in plastic extrusion: A manufacturer of industrial tubing considers purchasing a third extrusion line to meet a 20% increase in orders. While their current lines show a strong 88% OEE, a TEEP analysis reveals they are only utilizing 60% of their total calendar time due to a “no-weekend” policy. Instead of a multi-million dollar capital investment, the company implements a 4-on/4-off shift pattern. This captures the hidden capacity required to meet the new demand using their existing machinery.
Achieving Operational Excellence
Implementing OEE software like Ekho Klarity allows for automated downtime tracking and more precise manufacturing KPIs. While TEEP exposes where untapped capacity exists, the transition to digital transformation ensures every minute on the shop floor is visible. By shifting focus toward asset utilization, managers can pursue production optimization and long-term equipment uptime, driving sustainable growth in the competitive industrial sector.
