1993 | OriginalPaper | Chapter
Forecasting via Learning Curves
Authors : D. R. Towill, M. M. Naim
Published in: A Systems Approach to AMT Deployment
Publisher: Springer London
Included in: Professional Book Archive
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
In Chapter 4 we met the family of learning curve models which can be used to describe the dynamics of AMT startup. We now need to develop algorithms which will estimate the parameters for the selected model. If the modelling is to be undertaken on a historical basis, i.e. if the effective steady state has been reached, then simple graphical techniques may prove adequate, especially if the data is smoothed before curve fitting takes place.