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WorldCist'17 - 5th World Conference on Information Systems and Technologies

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Regression Models for Lean Production

The data mining models are an excellent tool to help companies that live from the sale of items they produce. With these models combined with Lean Production, it becomes easier to remove waste and optimize industrial production. This project is based on the phases of the methodology CRISP-DM. Several methods were applied to this data namely, average, mean and standard deviation, quartiles and Sturges rule regression techniques were used to determine which is the model that is less likely to make mistakes. After performing the tests, the M4 model is what is less likely to make mistakes in terms of regression with a RAE of 21,33%.

Author(s):

Ricardo Bragan├ža    
University of Minho

Filipe Portela    
University of Minho

Manuel Santos    
University of Minho

 

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