IIC Journal of Innovation 8th Edition | Page 34

The Path from Data to Actionable Information as a Driver for the Industrial Ecosystem The OEE metric [1] is structured so that a one-hundred percent OEE is an impossible target that can never be achieved because it represents perfection. In a well-run discrete manufacturing enterprise, the correctly computed OEE is usually in the range of thirty to forty percent. In high volume low mix production, such as automotive parts, OEE has been measured as high as eighty percent. When a company reports an OEE metric over ninety percent, one should view that number as suspicious; when OEE is greater than one-hundred percent, the targets are invalid, and the number has no meaning and therefore is not actionable. There is only one factor, Overall Availability [2], that has been consistently measured accurately and objectively. In the following section, we will discuss each factor and how to accurately compute OEE using IIoT data and the methodologies outlined in the previous section. This approach has yielded a much more valuable KPI, and that has been effectively used in-process improvement. O VERALL A VAILABILITY The first factor is defined by slicing time into the following categories, as defined by AMT in Figure 5: Figure 5: Chart of Equipment Availability Parameters IIC Journal of Innovation - 33 -