Design of Experiments (Unit 3)

Design of Experiments (Unit 3)

Design of Experiments - Unit 3 - DOE - SRMIST Syllabus

Taguchi's Quality Loss Function


Taguchi's loss function talks about the critical performance parameter value. The entire point being, we find the most nominal value of the parameter specification.

Orthogonal array (OA) A unique table indicating how to do the experiments with the available variables and their settings.

  1. Larger the better -  Analysing to maximise the parameter being studied.

  2. Smaller the better - Analysing to minimize the parameter being studied.

  3. Nominal the better - Analysing to have nominal parameter being studied.

Steps in Taguchi's Method


NOTE

*This unit has some numerical which are in the PPT. They are not covered in this since this article only covers important points for theory.

Comments

Popular posts from this blog

Data Centric Network (Unit 2)

Design of Experiments (Unit 1)

Compiler Design (Exp 1)