Optimization of Manufacturing processes using empirical methods

In this nugget, you will learn the concept and the benefits of empirical modelling for the optimization of manufacturing processes.

Moreover, you will learn:

• The basics of the Design of Experiments

• Methodologies of Experiments planning

• Calculating the Degrees of Freedom of an experimental case study

• Selection and types of Standard (Taguchi) Orthogonal arrays

• Using regressions for creating a correlation between the process parameters and the KPI of interest

• Judging the goodness of fit of a regression

• Using weighting to evaluate different alternatives for different scenarios

• The benefits of empirical modelling when compared to experimental optimization