Learning and Experience Curve Calculator - ExpCalc1

The theory of the learning curve or experience curve is based on the simple idea that the time required to perform a task decreases as a worker gains experience. The basic concept is that the time, or cost, of performing a task decreases at a constant rate as cumulative output doubles.

The application of experience curves has been applied to industry and completive analysis, production benchmarking, capacity planning, forecasting, project management and used in procurement negotiations.

There are two different learning curve models. The original model was developed by T. P. Wright in 1936 and is referred to as the Cumulative Average Model (CAM) or Wrights Model. A team of researchers at Stanford developed a second model; their approach is referred to as the Incremental Unit Time (or Cost) Model (IUM) or Crawfords Model.

This ExpCalc1 application simplifies the process of working with both CAM and IUM analysis. Using any combination of 27 different input parameters across two lots of data; this calculator evaluates and performs +300 calculations with each input providing key experience curve constants and lot data. Results can be output to Text and comma separated value (CSV) files.