In this article, we will walk you through the concept of historical baselines, their significance, and how they are established to provide you with valuable insights into your machine's past performance. Understanding historical baselines will empower you to assess your current machine efficiency, identify trends, and detect areas for improvement.
Company Dashboard Baselines
To establish the historical baseline, we look back over the last 6 months of data, considering each week's performance. For each metric, we find the median value during this time. This median value represents the typical or average performance for that metric over the past 6 months. When you view the charts, we show the difference between the current performance and this historical baseline, expressed in percentage points (pp).
For example, if the baseline OEE is 85%, and the current OEE is 80%, you'll see a variance of -5 pp, indicating a 5 percentage point decrease from the typical performance.
Machines Page Baselines
We calculate historical baseline cycle times for operations by looking back over the past 3 months of data. The historical cycle time baseline reflects the typical or average cycle time for each operation during this period. When you view the Machine Overview Operations Table, we display the variance between the current cycle time and this historical baseline in minutes and seconds (% variance).
For instance, if the baseline cycle time for a specific operation is 120 seconds, and the current cycle time is 140 seconds, you'll see a variance of +20 seconds, indicating a 20-second increase from the typical performance.