Very informative; thank you for the information

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!

Awesome video!

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.

Love the intro 🔥

Learn a lot. Thanks for sharing.

Amazing information. Thank you

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.

What is microstops?

I absolutely love these lectures, is it sad? 😛