Design of Experiments (Unit 2)

Design of Experiments - Unit 2 - DOE - SRMIST Syllabus

Barriers

1. Educational - Statistical & engineering understanding and implementation.
2. Management - Managers opting for other options due to insufficient knowledge.
3. Cultural - Main reason, wiz reluctant and fear of embracing DOE.
4. Communication - Lack of knowledge and gaps between academia and industry.
5. Other - Technical & non-technical issues.

Methodology

1. Planning Phase
1. Problem Recognition & Formulation
2. Selecting Response Factors
3. Selecting process variables
4. Classification of process variables
5. Determination of levels of process variables
6. List all required interactions
2. Designing Phase - Selecting appropriate design for experiment.
3. Conducting Phase - Carry out the experiment.
4. Analysing Phase - Noting down the outcomes and finding any trends in the data.

Tools

1. Main Effects Plot - Mean response value at each level.
2. Interaction Plots - Mean response value of 2 factors.
3. Cube Plots - Average response values at all combinations.
4. Pareto Plot - Absolute value of the effects.
5. NPP -  Active & inactive effects distinguish.
6. Regression Model - Response function prediction.

Screening Design

1. P-B Design
1. Geometric - 2^N
2. Non-Geometric - 4*N but not 2^M
2. Full Factorial Design
1. 2^2 design
2. 2^3 design
3. 3 factor design
4. 2^k design

NOTE

*Theory must be known, these are the main points of unit 2. Questions usually would come from these points.