3 Sep
2018

Measuring OEE - Overall Equipment Effectiveness

With these equations, it is easy to get at in-depth look at the various types of loss occurring a plant. Using OEE in conjunction with other techniques such as Total Process Management (TPM) can provide important actionable insights to improving manufacturing, and developing best practices.

Continuous Improvement
Lean Manufacturing
Mesure de l'efficacité globale des équipements (OEE)

Overall Equipment Effectiveness (OEE) is a powerful tool used in Lean Manufacturing for determining sources of loss in a factory. However, the calculation of OEE KPIs is really very easy. By using a series of equations, a plant can take collected data and plug it into any metric desired. The difficult parts are collecting quality data, and making good decisions from the analysis.

The best possible OEE score is 100%. This is not physically possible due to laws of thermodynamics, but it serves as the symbol for what a perfectly lossless manufacturing operation would look like.

It is from there that percentages of loss are measured by various metrics, and calculated into a total.

Here’s how it’s done:

The Formulas of OEE    

The simplest way to calculate OEE goes as follows:

OEE = (Good Count x Ideal Cycle Time)/ Planned Production Time

Where

Good Count = Total Count – First Pass Rejects

and

Planned Production Time = Shift Length – Breaks

This method is a perfectly accurate calculation of OEE, but it does not track the individual losses of the Big Six Losses. This is there is the preferred formula for OEE.

The preferred formula is:

OEE = Availability Loss x Performance Loss x Quality Loss

Where each loss type receives a score out of 100% and which together make up the OEE.

The Formulas of Loss Factors

Availability

Availability Loss = Run Time/ Planned Production Time

Where

Run Time  = Planned Production Time – Stop Time

Performance

Production Loss  = (Ideal Cycle Time x Total Count)/ Run Time

This metric can also be calculated as

Production Loss  = (Total Count / Run Time)/ Ideal Run Rate

Where

Run Time = Planned Production Time – Down Time

Quality

Quality Loss = Good Count/ Total Count

With these equations, it is easy to get at in-depth look at the various types of loss occurring a plant. Using OEE in conjunction with other techniques such as Total Process Management (TPM) can provide important actionable insights to improving manufacturing, and developing best practices.

Worximity is deeply committed to the philosophies of Continuous Improvement and Lean Manufacturing in food manufacturing. Using our IoT technology we provide company wide visibility into the statistics that matter to manufacturers and accelerate TTV (Time to Value) of investments in company culture and training to achieve outstanding productivity.

 

Want to learn more?
Download the ebook
Related blog articles

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
24
Nov 2019

Les méthodes Poka-Yoke dans un contexte de lean manufacturing

French
12
Nov 2019

3 outils d'amélioration continue puissants

French
18
Mai 2018

Tirer le meilleur des stratégies de production Lean et Six Sigma grâce à l’industrie 4.0

French

Articles connexes

Retour au blog
Nous vous remercions ! Votre demande a bien été reçue !
Oups ! Un problème s'est produit lors de l'envoi du formulaire.
23
mai 2024

Exemples de Lean Manufacturing provenant des principaux leaders de l’industrie

La mise en œuvre du Lean Manufacturing peut vous apparaître comme un défi colossal. En regardant ce que les meilleurs ont accompli en appliquant les principes du Lean Manufacturing, vous serez à la fois inspirés et motivés.

French
25
Avril 2024

How to Analyze Throughput Rate

Throughput rates are an important measure of factory performance. Not only does throughput indicate whether the factory can meet customer demand, but it's also an indicator of overall plant efficiency.

English
15
Avril 2024

Les meilleurs outils d’amélioration continue pour les entreprises manufacturières œuvrant dans le secteur agroalimentaire

Dans le paysage concurrentiel du secteur agroalimentaire, la mise en œuvre de méthodologies d'amélioration continue n'est pas seulement un choix : c'est une nécessité pour rester compétitif.

French