Glossary

What Is TEEP (Total Effective Equipment Performance)? Definition, Formula, and Examples

User Solutions TeamUser Solutions Team
|
5 min read
Industrial machinery on a factory floor representing equipment performance measurement
Industrial machinery on a factory floor representing equipment performance measurement

TEEP (Total Effective Equipment Performance) is a manufacturing metric that measures how effectively a piece of equipment is used relative to all available calendar time — 24 hours a day, 7 days a week, 365 days a year — not just the hours it was scheduled to run.

Definition

TEEP extends OEE (Overall Equipment Effectiveness) by adding a fourth dimension: Loading. OEE tells you how efficiently you use the time you planned to produce. TEEP tells you how efficiently you use all the time that exists.

The Loading factor is the ratio of planned production time to total calendar time. A machine running one 8-hour shift in a 24-hour day has a Loading of 33%. Even with a perfect OEE of 100%, its TEEP would be capped at 33%.

This distinction matters because OEE can look healthy while the business still has significant hidden capacity. TEEP makes that hidden capacity visible.

World-class TEEP benchmark: 85% or higher. Most manufacturing plants operate between 40–65% TEEP, which means substantial untapped theoretical capacity exists — whether or not it makes business sense to exploit it.

Formula / Calculation

TEEP = Availability × Performance × Quality × Loading

Or equivalently:

TEEP = OEE × Loading

Where:

Loading = Planned Production Time ÷ Total Calendar Time

Component definitions:

  • Availability — actual run time ÷ planned production time (accounts for breakdowns and changeovers)
  • Performance — actual output rate ÷ ideal output rate (accounts for slow cycles and minor stops)
  • Quality — good units produced ÷ total units started (accounts for defects and rework)
  • Loading — planned production time ÷ total calendar time (the factor OEE ignores)

Manufacturing Example

Consider a CNC machining center at a job shop:

ParameterValue
Calendar time (24-hour day)1,440 minutes
Planned production time (2 shifts)960 minutes
Loading960 ÷ 1,440 = 66.7%
Availability88% (unplanned downtime and changeovers)
Performance91% (minor slowdowns)
Quality97% (a few scrap parts)
OEE0.88 × 0.91 × 0.97 = 77.7%
TEEP77.7% × 66.7% = 51.8%

The OEE of 77.7% looks reasonable. The TEEP of 51.8% reveals that the machine is only producing value during roughly half of all available calendar time. Before investing in a third machine, management can ask whether adding a third shift would cost less.

Why It Matters for Production Scheduling

TEEP is most valuable when making capital allocation decisions. If your plant's TEEP is 45%, buying another machine before optimizing shift patterns is often the wrong investment. The capacity is already there — it just is not being scheduled.

For schedulers using tools like RMDB, TEEP data highlights which work centers have untapped third-shift or weekend capacity. That information changes how finite capacity scheduling allocates overloaded jobs: instead of flagging a bottleneck, the scheduler can propose a shift extension on the constrained machine.

TEEP also appears in lease-or-buy analyses. A machine with 30% TEEP has room to absorb contract work or new product lines before a capital expenditure is justified.

TEEP vs. OEE

OEETEEP
Time basePlanned production timeTotal calendar time
Planned downtimeExcludedIncluded (via Loading)
Shutdown shiftsNot countedCounted against score
Best useDay-to-day operational improvementCapacity planning and capex decisions

Use OEE to drive daily operational improvement on the shop floor. Use TEEP when the question is strategic: "Do we need more machines, or more shifts?"

How to Improve TEEP

  • Increase Loading by evaluating whether adding shifts is economically viable — this is the single highest-leverage TEEP lever for single-shift plants.
  • Improve OEE through faster changeovers (SMED), predictive maintenance, and defect reduction — all gains flow through to TEEP automatically.
  • Schedule weekend or holiday production for high-demand periods rather than defaulting to overtime on weekdays.
  • Identify low-utilization assets using TEEP dashboards and consider whether they can be redeployed, sold, or leased to other manufacturers.
  • Use finite capacity scheduling software to model the TEEP impact of shift pattern changes before committing to them operationally.

OEE measures performance only during scheduled production time, ignoring planned downtime. TEEP adds a Loading factor — scheduled time divided by total calendar time — so it captures what a machine could theoretically produce 24/7/365. A machine running two shifts will have a lower TEEP than OEE because the idle third shift counts against it.
World-class manufacturers target 85% or higher TEEP. Most plants run between 40–65%, meaning there is significant untapped capacity. A low TEEP is not always a problem — it may simply reflect a deliberate choice not to run three shifts — but it is a useful benchmark when considering capacity expansion versus buying new equipment.
TEEP = Availability × Performance × Quality × Loading, where Loading = Planned Production Time ÷ Total Calendar Time. Alternatively, TEEP = OEE × Loading. For example, if your OEE is 78% and you run one 8-hour shift in a 24-hour day, your Loading is 33% and your TEEP is 26%.

Learn more: See how EDGEBI tracks OEE and TEEP in real-time dashboards alongside all your other production KPIs. Contact User Solutions for a demo.

Expert Q&A: Deep Dive

Q: Our OEE looks healthy at 80%, but management keeps asking about capacity. How does TEEP change the conversation?

A: TEEP reframes the question from 'how well are we using scheduled time?' to 'how well are we using total available time?' If you run one shift and OEE is 80%, your TEEP is only about 27% — meaning 73% of the machine's calendar capacity is unused. That data point changes a capital-expenditure conversation: before buying a new machine, you can ask whether adding a second shift would be cheaper. TEEP gives operations and finance a shared language for that trade-off.

Frequently Asked Questions

Ready to Transform Your Production Scheduling?

User Solutions has been helping manufacturers optimize their production schedules for over 35 years. One-time license, 5-day implementation.

User Solutions Team

User Solutions Team

Manufacturing Software Experts

User Solutions has been developing production planning and scheduling software for manufacturers since 1991. Our team combines 35+ years of manufacturing software expertise with deep industry knowledge to help factories optimize their operations.

Let's Solve Your Challenges Together