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Basic Details:

  • Course Code: EM 524
  • Credits: 3
  • Pre-requisites: EM 213
  • Compulsory/Optional: Optional

Aim :

To develop the skills necessary to efficiently and effectively design and analyze experiments.

Intended Learning Outcomes:

On successful completion of the course, the students should be able to;

  • Identify the most suitable design for an experiment.
  • Apply statistical methods to design experiments and to analyze the data using statistical software.
  • Develop successful experiments that can lead to reduce development time, enhance process performance, and improve product quality.

Couse Content:

Introduction, design of the experiment, statistical analysis of the fixed
effects model, estimation of the model parameters, pair wise comparisons of the
means, residual analysis.

Advantage of factorials, design of
the experiment, testing for interactions, statistical analysis of the fixed effects
model with and without interactions, estimation of the model parameters.

Estimating factor effects, formulation of the model, statistical testing using ANOVA, residual analysis, blocking and confounding, interpretation of results.

One-half fraction and one- quarter fraction of the 2k factorial design.

Background and overview of Taguchi method, loss function, insight to orthogonal arrays, design of experiment, robust design using Taguchi method.

Introduction, designs for fitting the first- order model and the second order model.

Time Allocation (Hours):

Lectures
0
Practicals
0
Tutorials
0

Recommended Texts:

  • D.C. Montgomery,”Design and Analysis of Experiments”, 7thedition,(2008), John
  • Wiley and Sons, Inc.
  • D.C. Montgomery and G.C. Runger,”Applied Statistics and Probability for Engineers”, 6thedition, (2013), John Wiley and Sons, Inc.
  • MadhavS. Phadke, “Quality Engineering using Robust Design”,1stedition,(1989), Prentice Hall.

Assessment:

In - course:

Tutorials
10%
Lab Assignments/Quizzes
20%
Mid Semester Examination
20%

End-semester:

50%