Design of Experiments detailed syllabus for Industrial Engineering & Management (IEM) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the IEM students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Industrial Engineering & Management 5th Sem scheme and its subjects, do visit IEM 5th Sem 2021 regulation scheme. For Professional Elective-III scheme and its subjects refer to IEM Professional Elective-III syllabus scheme. The detailed syllabus of design of experiments is as follows.
Course Objectives:
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Unit I
FUNDAMENTALS OF EXPERIMENTAL DESIGNS 9
Hypothesis testing – single mean, two means, dependant/ correlated samples – confidence intervals, Experimentation – need, Conventional test strategies, F-test, terminology, basic principles of design, steps in experimentation – choice of sample size – Normal and half normal probability plot – simple linear and multiple linear regression, Analysis of variance.
Unit II
SINGLE FACTOR EXPERIMENTS 9
Completely Randomized Design- effect of coding the observations- model adequacy checking – estimation of model parameters, residuals analysis- treatment comparison methods- Duncan’s multiple range test, Newman-Keuel’s test, Fisher’s LSD test, Tukey’s test- Testing using contrasts Randomized Block Design – Latin Square Design- Graeco Latin Square Design – Applications.
Unit III
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Unit IV
SPECIAL FACTORIAL DESIGNS 9
Blocking and Confounding in 2K Designs- blocking in replicated design- 2 K Factorial Design in two blocks- Complete and partial confounding- Confounding 2K Design in four blocks -Two-level Fractional Factorial Designs- Construction of one-half and one-quarter fraction of 2K Design- Introduction to Response Surface Methods
Unit V
TAGUCHI METHODS 9
Design of experiments using Orthogonal Arrays, Data analysis from Orthogonal Experiments Response Graph Method, ANOVA- Attribute data analysis- Robust design- noise factors, Signal to Noise ratios, Inner/outer OA design- case studies.
Course Outcomes:
- Understand the fundamental principles of Design of Experiments.
- Analyze data in the single factor experiments.
- Analyze data in the multifactor experiments.
- Understand the special experimental designs & Response Surface Methods.
- Apply Taguchi based approach to evaluate quality.
Text Books:
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For detailed syllabus of all the other subjects of Industrial Engineering & Management 5th Sem, visit IEM 5th Sem subject syllabuses for 2021 regulation.
For all Industrial Engineering & Management results, visit Anna University IEM all semester results direct link.