4 Sep
2018

Understanding OEE Factors

The three factors that contribute to OEE are Availability, Performance, and Quality, learn how to measure here.

Continuous Improvement
Lean Manufacturing
Understanding OEE Factors
Continuous Improvement
Continuous Improvement
Lean Manufacturing
Lean Manufacturing
Food & Beverages Processing
Text Link
Consumer Product Goods
Text Link
Material Building & Construction
Text Link
Original Equipment Manufacturer (OEM)
Text Link
Pharmaceuticals & Supplements
Text Link
Packaging & Co-manufacturing
Text Link
Text Link

Overall Equipment Effectiveness (OEE) is a powerful tool for determining sources of loss in a factory and for measuring your progress in Lean Manufacturing. The root of the power is the detail the system allows to examine where loss occurs, and of what variety.

All Time and OEE

The most general view of loss overall is All Time, also known as 24/7 time. While machines will not be running all day, every day, starting at this level is useful because it allows the calculation of Utilization. Utilization refers to the calendar time of production, examining not only how a factory functions while it is running, but also how often it runs in total.

To calculate OEE, however, only the time a factory is operational must be considered. The non-operational time is called Schedule Loss, and is excluded from the calculation. By multiplying the % OEE by the % Utilization, the Total Effective Equipment Performance (TEEP) can be calculated.

The 3 Factors of OEE

OEE itself is only calculated during Planned Production Time. Planned Production Time consists of All Time minus Schedule Loss, leaving the incurred losses as functions of equipment performance. The three factors that contribute to OEE are Availability, Performance, and Quality.

Availability

Availability Loss tracks any event that stops production long enough that an operator logs a Reason. Reasons are common production-stopping events, often denoted with a number or classification for the sake of efficiency. These events fall into two categories: planned stops and unplanned stops.

Planned stops refer to changeover time, or any activity related to the preparing or adjustment of machines. While planned stops will always be necessary due to instantaneous switch-overs being impossible, particularly egregious time losses in that area can be addressed with Single-Minute Exchange of Dies (SMED) projects. Unplanned Stops include any event where production is scheduled to be running at steady state, but is not. Common reasons for this include equipment failure, or unplanned shortages of material.

Performance

Performance Loss is incurred by equipment running at less than maximum speed. The two types of performance loss are unavoidable startup loss, and process loss. Unless the startup loss is far beyond typical, process loss is where improvement projects will occur. There are two types of process loss: Slow Cycles, and Small Stops.

Slow Cycles refer to any time production does not achieve ideal run rate (or ideal cycle time) while operating in steady state. This part of Performance Loss is calculated by comparing the Actual Cycle Rate to the Ideal Cycle Rate, which is the theoretical maximum speed to produce a discrete part. This also applies to startup loss, although it is not technically steady state. Small Stops are any pause in production that is not long enough to be given a reason by the operator. An OEE analysis is especially valuable in tracking these inefficiencies, as they would not appear in an operator’s notes.

Quality

Quality Loss refers to the time taken to produce defective part, as during that time no value was produced. Because OEE only tracks First Pass Yield, even parts that are reworked and sold to the consumer are still marked as losses. This strict definition allows OEE analyses to be used when considering quality control projects.

Quality Loss can be seen as the final equipment loss due to the fact that even a machine running 100% of the scheduled time at 100% of the possible speed can produce a defective part. Quality Loss may even be a direct result of improving the other OEE factors without forethought. That is why having both the individual view of each factor and the total view of OEE together is important. If a project to target one factor negatively impacts another, it will show in the OEE score.

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.

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
9
Jan 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
16
Oct 2023

The Synergy Between Lean Manufacturing and OEE Monitoring

Overall Equipment Effectiveness (OEE) monitoring plays a crucial role in the realm of lean manufacturing, serving as an essential tool to assess and enhance the efficiency and productivity of manufacturing processes.

English
21
Jul 2023

CDAP: $15,000 Grant To Jump Start Canadian Manufacturing Digital Transformation Projects

With the rise of digitalization in the manufacturing industry, the Canada Digital Adoption Program (CDAP) and Worximity's smart factory performance manager software suite are helping manufacturers increase throughput and reduce production costs.

English

Related articles

Back to the blog
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
15
Apr 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
11
Apr 2024

Votre guide en matière de contrôle statistique du processus (CSP)

En tant qu’entreprise manufacturière, il est essentiel de comprendre le contrôle statistique du processus pour survivre et prospérer dans l’environnement hyper-compétitif d’aujourd’hui.

French
10
Apr 2024

Définir la différence entre le temps de production et le temps de cycle

Le temps de cycle et le temps de production sont des indicateurs clés de la performance manufacturière. Découvrez ce que chacun signifie et comment les utiliser pour augmenter la productivité dans le cadre de votre processus de production.

French
13
Mar 2024

Moteurs d’efficacité manufacturière : Monitoring des machines et du TRG

Le monitoring des machines et du TRG (taux de rendement global) sont efficaces pour améliorer l'efficacité globale, mais quelle est la différence entre eux et qu'est-ce qui est le mieux adapté à vos opérations?

French