Challenge:
Only 7% of the current MTR estimates are within 20 minutes of actual.  Customer desires 50% within 20 minutes of actual.

Solution:
Process Modeler's predictive models of MTR based on a wide variety of factors describing the situation.  Now 32% of the cases are within 20 minutes of actual, a 466% improvement

 

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The Methods
Approximately 100 variables in a history of more than 5,000 cases were modeled to estimate MTR based on the situation at hand.  This included the time, place, day of week, equipment involved, crews available and many other factors.  This data was modeled using BioComp's Process Modeler software to find the most accurate model.

Results
With a quick application of Process Modeler's modeling technologies we were able to increase the estimate accuracy from only 7% of the cases within 20 minutes of actual repair time to 32% of the cases within 20 minutes of actual, a 466% improvement.  The first chart shows the customer's current estimation accuracy (vertical axis is MTR, blue is actual, red is the estimate):

Estimate Using Customer's Current Method

The predictive model (shown BELOW) shows a CLEAR improvement (red is actual, blue is estimated by the model):

Predictive Model's Estimate