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.
18
Nov 2019

Transformation de la viande en utilisant les méthodes d'usine intelligente - Introduction #1

French
9
Nov 2020

How to Create a Remote Continuous Improvement Plan During a Pandemic

English
31
Août 2018

Video: Surproduction - How Worximity and Ishida Weighers Reduce Giveaway for All Product

English

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
Janvier 2024

Optimisation des opérations à l'échelle de l'entreprise : analyse de données dans l'industrie manufacturière avec l’aide de Worximity

Découvrez comment Worximity transforme les opérations manufacturières en exploitant l'analyse des données en temps réel, apportant efficacité et innovation à l'Industrie 4.0 tout en responsabilisant les départements au-delà de la gestion de la production.

French
23
Janvier 2024

Optimizing Company-wide Operations: Data Analytics in the Manufacturing Industry With Worximity

Explore how Worximity is reshaping manufacturing by harnessing real-time data analytics, bringing efficiency and innovation to Industry 4.0 while empowering departments beyond production management.

English
9
Janvier 2024

Manufacturing Trends to Lookout for in 2024

As we look at manufacturing trends for 2024, pressure to stay on top of current trends and maintain competitiveness are at an all-time high

English