Orthogonal tables with respect to a model
Experimental design - The Taguchi method
Article REF: F1006 V1
Orthogonal tables with respect to a model
Experimental design - The Taguchi method

Author : Rachid SABRE

Publication date: March 10, 2007 | Lire en français

Logo Techniques de l'Ingenieur You do not have access to this resource.
Request your free trial access! Free trial

Already subscribed?

1. Orthogonal tables with respect to a model

As in the case of complete and fractional factorial designs , here we define a model and an experiment matrix.

1.1 What is a model?

After selecting the factors considered to have an influence on the experiment's response, the experimenter proposes a model corresponding to the hypothesis that seems most likely.

The model is, in general, a linear expression of the response variable as a function of the factors and interactions assumed to have an effect on the response. The coefficients of the model can only be calculated after the experiments have been carried out. In the absence of these coefficients, we write the model symbolically to specify the factors and interactions taken into account.

In...

You do not have access to this resource.
Logo Techniques de l'Ingenieur

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource. Click here to request your free trial access!

Already subscribed?


Ongoing reading
Orthogonal tables with respect to a model

Article included in this offer

"Food industry"

( 266 articles )

Complete knowledge base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

View offer details
Contact us