Design of Experiments (Unit 2)

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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.

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