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OEE has often been misused and misunderstood at the plant level. This metric, Overall Equipment Effectiveness, is sometimes used as a "stick" rather than as an indicator of where help is needed. The result is that this metric is often hidden from the very people who need to be aware of it the most. If the people on the plant floor aren't given the OEE data, they are powerless to change or improve OEE. Being able to view these KPIs in real-time, via a Dashboard, gives you powerful data with which you can continually optimize plant performance.
OEE is a complex metric that uses many calculations and numbers to arrive at a single result that many people believe is the tell-all about the site’s performance. For these and many other reasons, OEE is often not used or fully understood on the execution side of the business, the plant floor. In this article, we’ll cover the elements and calculations of OEE and how you can better use it to suit your plant.
In order to illustrate the nuances of OEE, I’m going to rewrite the OEE calculation using the raw components of the contributing metrics. Bear with me.
Here’s where it gets interesting. Run Time and Total Count are cancelled out since they are both in the numerator and the denominator.
Now we can rewrite the OEE calculation like this:
Just to validate the math, here are a few examples of OEE, calculated the long way, and calculated the short way:
Line A OEE long calculation:
Line A OEE short calculation:
Line B OEE long calculation:
Line B OEE short calculation:
As you can see in these two examples, the end result is exactly the same no matter which formula you use. I encourage you to test these formulas using metrics from your plant.
OEE is actually a ratio of the Ideal Production Time to Planned Production Minutes. Ideal Production Time is how much time it would take to produce parts in a perfect world with no downtime, no defects, and with each line producing parts as fast as it possibly can. The perfect world doesn’t exist, and Planned Production Minutes accounts for the inevitable downtime and defects.
Does this mean that your OEE calculation is useless? No. Not at all. It can be used as an indicator, or as an invitation for a conversation. OEE by itself can’t tell the entire story. If your plant is using OEE exclusively, consider including Availability, Performance, and Quality in your OEE report as well. L2L’s OEE report includes all 4 metrics on a common trend chart.
OEE data is often used in support groups like the following:
Engineering and Maintenance Departments: Both Engineering and Maintenance use OEE to look at what pieces of equipment are not running efficiently, specifically the amounts of unproductive time per machine, or line, or area for example. They can then use Pareto analysis to point to where the real problems are. Maybe the equipment is down due to repairs. Or maybe the machine is not running because there are no parts feeding into it. OEE can provide a broad overview to highlight underperformance. Maintenance and Engineering can now dig into the data. Your CMMS should make this data visible to everyone - on and off the plant floor. With data immediately accessible, they now have more detailed information and can better understand the underlying issues to make good decisions on how to address the problems.
Finance: Oh, those Finance folks love to use OEE! It's a handy metric to measure the ROI on capital expenditures. (That's Return on Investment for us non-CPA types.) They review the OEE to determine if they get the return they need to justify the expenditure, or as a means of analysis to gauge when to buy more equipment. They gotta keep the economic engine turning.
Operations: As a plant metric used to help gauge where performance improvements are needed, operations teams focus on the metrics that make up OEE (Performance, Quality, Availability). Focusing on these metrics allows the team to take action on specific needs, such as increasing uptime, improving scrap numbers, and aligning with theoretical efficiency.
In my opinion, it seems perfectly logical that divisional, regional, and/or corporate level operations managers should use OEE as an indicator of the overall health of their business units. However, OEE alone won't tell you the whole story.
OEE can be a helpful barometer to determine where help and additional resources are needed, such as which plants in their business family may be struggling for one reason or another. In this manner, OEE can be viewed as a walking stick used to navigate the Continuous Improvement path. I believe you should break OEE down and track the three main KPIs that make up OEE, like downtime (OA), production efficiency (PEFF), and scrap. As you focus on and build KPIs around these metrics, you'll make more progress because they're not just measurable, but actionable – at all levels on the plant floor. Your people will understand what's impacting losses of performance with these metrics.
If you were to focus on OEE as your most important indicator, you could potentially be storing a bunch of parts in your warehouse in the hope that demand will increase, and when it does, you'll be ready. This is because it focuses on building as fast as possible (theoretical throughput) instead of setting run rate to reflect the demand or customer orders.
OEE is frequently manipulated. Whether intentionally or unintentionally, it still blurs your ability to understand if you’re making real progress. How does manipulation happen? There are a few reasons:
It uses theoretical throughput, so which cycle time do you use?
How about planned production time?
So, when comparing lines or areas – or even plant to plant – you need to make it as close to "apples to apples" as possible if you choose to use this measurable.
Operations leaders need a good OEE Dashboard. One that is easy to pull up with data displayed so it is visible to everyone. When OEE is used as an 'overall' guide, leaders can ask better questions. As a tool, it aids upper management to make informed decisions more quickly.
Leaders need to be able to see all of the plants on one screen. They also need the ability to see a breakdown of the overall score. A lump sum is hard to digest and harder to make sense of, let alone explain to others. Seeing OEE broken down into the main categories of Availability, Quality, and Performance is far more helpful in telling the real story. An OEE Dashboard needs to have the capability to easily drill down to the site level. Then, drill into the area and line level to quickly see the performance indicators. In doing so, they can understand what questions to ask and to determine what help is needed to course correct. A pareto analysis of the major three indicators of OEE can tell you where to focus your efforts and on what issues.
For best results, post and hold your teams accountable for the following KPIs:
These are easy to track and are generally better indicators of performance. The next step is to get this data in real-time. That way your teams will make the right judgement calls and even know what to fix to course correct throughout the day.
A good OEE Dashboard that can be visible from your phone is worth its weight in gold. However, you might get some push-back from the plants along the lines of comparing apples to oranges, and we are different from the other sites because…
Do use an OEE dashboard to see where to focus on providing help. The keyword here is help.
At the very least, please be aware of what an OEE calculation can actually tell you. And, on the flip-side, please be aware what OEE can’t tell you. OEE has never swung a hammer, and most definitely can’t turn a wrench.
OEE doesn’t lie, but it can’t tell the whole truth. In all reality, no one metric alone tells the whole truth. There isn’t a single report that can match the data you can gather from your most valuable asset: Your coworkers. So, the next time your OEE takes a dip, take a walk. Have a quick chat with the line operator. It’s the only way to learn what OEE has been hiding from you.
For these reasons, I recommend a corporate-wide LES system like L2L (Leading2Lean) that can help with collecting the data needed to understand current conditions and to aide in decision making based on data. Data that is from a system used at each plant, not plant specific excel charts uploaded into a shared folder and presented weekly showing where they are at with their measurables.
If you found this post interesting, then you'll also enjoy this video Going Deeper with OEE.
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