Performance and maintenance

OEE – Overall Equipment Effectiveness

Calculate Availability, Performance and Quality from transparent production data and trace the OEE gap to concrete loss categories.

Purpose and method

Calculate overall equipment effectiveness from Availability, Performance and Quality.

When to use it

Use OEE to separate downtime, speed and quality losses and focus improvement on the largest loss category.

Core principle

OEE is a loss-accounting model for a defined equipment scope and planned production time. It is not a universal score for comparing unrelated machines or plants.

What the interactive module provides

  • OEE and component KPIs
  • Loss breakdown
  • Improvement priorities
  • OEE and component KPIs, loss breakdown, target gap and improvement priorities
Professional verification: The module supports learning, analysis and documentation. Verify results against actual process conditions, internal standards, safety requirements and competent professional judgement before implementation.
01

Recommended workflow

Calculate Availability, Performance and Quality from transparent production data and trace the OEE gap to concrete loss categories.

  1. 1

    Define equipment boundary and planned production time

  2. 2

    Validate downtime, counts and ideal cycle source

  3. 3

    Calculate the three factors separately

  4. 4

    Reconcile the component gaps with recorded losses

  5. 5

    Improve the dominant loss and monitor sustainability

02

Practical example

A line has 90% Availability, 82% Performance and 97% Quality. OEE is 71.6%, and the component view shows speed loss—not downtime—as the main opportunity.

Calculation or verification principle

OEE = Availability × Performance × Quality. Availability = run time ÷ planned production time; Performance = ideal cycle × total count ÷ run time; Quality = good count ÷ total count.

Required inputs → Expected outputs

Required inputs
planned time, downtime, total count, good count, ideal cycle time and loss categories
Expected outputs
OEE and component KPIs, loss breakdown, target gap and improvement priorities
03

Common mistakes to avoid

×

Changing planned time to make the score look better

×

Using best observed speed as ideal cycle without validation

×

Counting rework inconsistently in quality

×

Comparing OEE across different scopes and rules

04

Frequently asked questions

What data do I need to use this tool?

Prepare planned time, downtime, total count, good count, ideal cycle time and loss categories.

What result does the module produce?

The module produces OEE and component KPIs, loss breakdown, target gap and improvement priorities.

Can I implement the result without further review?

No. Treat the output as a structured engineering and improvement aid. Verify source data, assumptions, safety, quality, legal requirements and local process conditions with competent responsible people before implementation.