OEE is a measure of how well a planned production time of an equipment is utilized to produce good products. It can be measured from 0% to 100%.
Its not only the equipment, effectiveness of achieving target number of good products, of all operations, whether it is manual, automatic or semiautomatic can be measured using OEE.
Now we shall discuss all factors which will affect OEE.
OEE Factors
OEE depends on three major factors.
- Availability
- Performance
- Quality
We will be discussing these three factors in the following sections…
How to calculate OEE
We can calculate OEE by two methods. One is very simple and less data is required. The other one requires more data, but for improving OEE we prefer second method since it has more data.
Lets move into detail…
OEE calculation – Method 1
Following formula is used for calculating OEE in this method.
OEE = (Total no of good products produced × cycle time) / Planned production time
But in this method, we did’t get an idea of which three factors of OEE is lagging behind. Only after knowing this information, we can improve those factors.
But for quick calculation we can use this method.
OEE calculation – Method 2
Initially we need to calculate three factors, Availability, Performance and quality.
And finally OEE is calculated by multiplying these three OEE factors.
Lets look in to these factors, in detail…
Availability
Availability factor is the measure of how well a planned production time is used for producing products.
Availability is calculated by the following formula,
Availability = Run time / Planned production time
Run Time is obtained by reducing idle time from Planned production time.
Run Time = Planned production time − Idle time
Idle time is the time for which machine is not running. This can be due to breakdown, material shortage, power failure, change over, etc.
Performance
Performance factor is a measure of how well a machine is able to maintain its cycle time for producing parts.
Performance factor is calculated by following formula,
Performance = (Cycle Time × Total products produced) / Run Time
Cycle time can be calculated by time study.
Quality factor
Quality factor measures how well a machine is able to produce good parts.
Quality factor is calculated by following formula,
Quality factor = No of good products produced / Total no of products produced
OEE calculation
OEE is calculated by multiplying the above three factors
OEE = Availability × Performance × Quality
If the equations for Availability, Performance, and Quality are substituted in the above and reduced to their simplest terms the result is:
OEE = (No of good products produced × Cycle Time) / Planned Production Time
OEE calculation Example
Now let’s walk through a complete example using the method 2 of OEE calculation. Here is data recorded for the first shift:
| Element | Time |
| Duration of shift | 480 minutes |
| Total break duration | 2 nos 15 minute tea breaks and 30 minute lunch break |
| Downtime | 55 minutes |
| Cycle Time | 40.0 seconds |
| Total no of parts produced | 490 products |
| Total no of parts rejected | 40 products |
Initially we need to calculate the following …
Planned production time
Formula for calculating planned production time is,
Duration of shift − Total break duration
480 minutes − 60 minutes = 420 minutes
Run time
The next step is to calculate the amount of time that production was actually running.
The formula is,
Run Time = Planned production time − Idle time
= 420 minutes − 55 minutes
= 365 minutes
No of good products produced
No of products produced = Total products produced − Total rejected nos
= 490 products − 40 products
= 450 products
Availability
Availability = Run Time / Planned Production Time
= 365 minutes / 420 minutes
= 0.869 (86.90%)
Performance
Performance = (Cycle Time × Total products produced) / Run Time
= (40.0 seconds × 490 ) / (365 × 60 seconds)
= 0.895 (89.5%)
Quality factor
Quality factor = No of good products produced / Total no of products produced
= 450 / 490
= 0.9183 (91.83%)
OEE CALCULATION
Finally, OEE is calculated by multiplying the three OEE factors.
Availability × Performance × Quality
= 0.869 × 0.895 × 0.9183
= 0.7142 (71.42 %)
OEE can also be calculated using a simple method (method 1).
Formula is,
OEE = (Total no of good products produced × cycle time / Planned production time
= (450 products × 40.0 seconds) / (420 minutes × 60 seconds) = 0.7142 (71.42%)
The result is the same in both cases. The OEE for this shift is 71.42%.
Thanks for reading
I am thankful to Mr. Abin Antony for contributing to this article.
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This article is written by Shreya Desai. She is experienced in Process improvement. What If Your Assembly Line Had a Mind of Its Own? A system on your shop floor that not only sees—but senses. One that learns your bottlenecks before your planners do. That catches torque drift before QA flags it. That knows what’s about to go wrong—not based on guesswork or KPIs from last month—but because it’s reading your factory in real time. Yes, I am talking about digital twins in manufacturing. Advertisement Too good to be true? Welcome to the world of Digital Twins: where your machines… Read more: Digital twins in manufacturing - Process Capability Index
This article is written by Shreya Desai. She is experienced in Process improvement. Let’s talk cookies—yes, the kind you bake. Advertisement Imagine you’re baking a batch, aiming for uniform size, shape, and that perfect golden brown. But occasionally, a few turn out too flat, too big, or just a tad burnt. That inconsistency is what we call process variability. And process capability index helps us to know how capable is the process to produce product without variation. In the world of manufacturing, our goal is to minimize that variability so that every product—not just cookies, but car parts, circuit boards,… Read more: Process Capability Index - Teamwork in Manufacturing: How an Industrial Engineer and Friends Revived a Factory
In the fast-paced world of manufacturing, where deadlines are tight, margins are thin, and pressure is constant, it’s easy to believe that only hard data and systems drive success. But sometimes, what truly turns things around is leadership built on trust, friendship across departments, and the silent strength of a well-bonded team. At the center of one such story stood an Industrial Engineer—a quiet force who brought together people, processes, and possibilities when everything else seemed to be falling apart. Advertisement Let’s learn the concept through a Story. The Calm Before the Storm For several years, the factory had operated… Read more: Teamwork in Manufacturing: How an Industrial Engineer and Friends Revived a Factory - Uses of Why-Why analysis in 5S Implementation
Why-Why analysis tool is used in 5S Implementation, to find the root causes of problems. Why-Why analysis will be useful in following stages of 5S Implementation. Advertisement We shall check in detail how we are using in each stage. Why-Why analysis in Shine Phase In Shine phase following activities are also done. Please note the following list is not limited to the all activities done in Shine phase. We have only listed the activities where why why analysis is used. So in this case, to identify these root causes Why Why analysis is used. Why-Why analysis in Standardize phase In… Read more: Uses of Why-Why analysis in 5S Implementation - How Industrial Engineers Work
Industrial Engineers makes things better than anyone and they have a secret way of working to achieve this. Wondering How exactly do industrial engineers work? What systematic approach do they follow to bring improvements in factories, offices, hospitals, and even in services? Lets discuss in this article. Advertisement Let’s break down their method into simple stages and understand the deep philosophy that runs behind their success. 1. Collecting Data: Building the Foundation The first and perhaps the most crucial step for an industrial engineer is data collection.Without facts, there can be no improvement — only assumptions. Industrial engineers spend a… Read more: How Industrial Engineers Work - Career Growth Tips for Young Professionals from a General Manager
In this article, we will be sharing career growth tips from Bairy Venkata Ugendhar and following are the short introduction about him, before we start. Bairy Venkata Ugendhar GM – Industrial Engineering Operations | 28+ Years in Manufacturing With over 28 years of hands-on experience across apparel, consulting, machine tools, and finance industries, Mr. Ugendhar is a recognized leader in Industrial Engineering and Operations Excellence. From setting up greenfield factories to driving digitization and lean transformation, his journey is a goldmine of insights for aspiring professionals. Advertisement In this exclusive conversation, he shares career-defining lessons, tips for young engineers, and… Read more: Career Growth Tips for Young Professionals from a General Manager
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Clearly understood.
Thanks for the good work
It was really helpful. Thank you
Thank you Hilal for the positive feedback