Yes, OEE is Powerful and Useful
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- čas přidán 25. 06. 2024
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0:00 Intro
4:30 Why Digitally Transform?
5:00 Tesla's concept of Manufacturing
7:25 Why OEE is part of the Digital Journey
8:50 Where did OEE come from?
10:00 What is TEEP? What is OEE?
18:06 OEE Case-Study
#OEE #IIoT #Industry40 #DigitalTranformation - Věda a technologie
Very informative; thank you for the information
Awesome video!
🙏 🎉 Thank you!
Great video for illustrating the need for a digital MES and the calculation of OEE with machine measured data. My senior automation students will be watching this next week. Great motivation for completing and fine-tuning our MES Bootcamp project. I think this is a great format before launching into more detailed development. Thanks for another awesome podcast!
Thank you, Jeff!
Jeff, problem is that only a tiny fraction of companies can afford to track quality correctly. And a bad quality measurement invalidates OEE completely.
@@rickbullotta2036 Agree that bad quality invalidates OEE, but I'd like to expand -- there is no company that can afford to NOT track quality correctly. Its not optional, its a lack of leadership and vision. The market will weed them out -- without exception.
@@walkerreynolds973 100%. But attaching quality to individual assets/machines is hard and inaccurate in many mainstream industries. But totally with ya that it’s an essential metric - the question is what and where and how.
Yes nitty gritty details are well appreciated. 👍
Love the intro 🔥
Thanks for the support!
Love seeing actual examples of your company's work. Love seeing you explain technical concepts with sourced factual data and real world examples. This is how you prove the haters wrong. 👍 People who think OEE doesn't matter have never worked in a real OEM factory.
We appreciate it J. A.
Learn a lot. Thanks for sharing.
Glad it was helpful!
Amazing information. Thank you
Glad it was helpful!
Any metrics that do not consider the impact of "balls to the wall" production on personnel safety are not adequate metrics. And for some processes, energy and resource consumption is non linear, making it possible to have cases where higher OEE leads to reduced profitability. Also, as Walker points out, some shifts will game the system and cherry pick the work to run that guarantees the best OEE (or whatever incentive metrics you're using), even though a hot customer order should have taken priority - I've seen it happen. And if you optimize for OEE (e.g. don't add a shift if you don't have a full shift worth of work) but you fail your customers and miss a delivery date, which is more important? It's also amazing to me how many companies don't re-baseline production rates when they do improvements to equipment or processes.
I also GUARANTEE that in the great example Walker gave, that the same results would have been achieved by simply monitoring the three constituent metrics of OEE and not OEE itself.
Also, most approaches don't consider the importance of optimizing bottleneck resources. Every manufacturing professional should read "The Goal" at some point.
Great comment -- agree on 'The Goal' 100%. Its important to note -- if you're monitoring constituent metrics of OEE, then you have OEE. OEE is simply the gateway that gets you to the constituent metrics of Availability, Quality and Performance. OEE and TEEP are for the boardroom, AQP are for operations -- I should have made that clearer... great comment, as always.
I absolutely love these lectures, is it sad? 😛
Not sad at all!
What is microstops?