In this presentation, Bryan Sapot will reveal how many existing manufacturers collect, measure, and utilize their OEE data. He will display real world examples from live shop floors, to paint a picture of how even some of our most objective lean manufacturing data can often be manipulated or misleading.
Bryan will then present several use cases of how this specifically occurs with things like quality and availability. A quote from past presentations…
“No other part of the Overall Equipment Effectiveness calculation gets manipulated more than Availability. Many companies will manipulate planned and unplanned downtime to achieve a high availability number and overall OEE. Companies do this to reach an industry accepted OEE, such as 85%. Rather, each company should pick a methodology that tracks the true availability of the machine. For example, should breaks be planned or unplanned downtime? Can the machine continue to run during the break? If so, it should be unplanned.”
The presentation concludes with solutions as to how manufacturers can overcome these errors in the data and collect more accurate data. Bryan will then highlight use cases that demonstrate the cost benefits of having more accurate data in this areas.