Design of Experiments detailed syllabus for Industrial Engineering (Industrial) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Industrial 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 5th Sem scheme and its subjects, do visit Industrial 5th Sem 2021 regulation scheme. For Professional Elective-III scheme and its subjects refer to Industrial 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 5th Sem, visit Industrial 5th Sem subject syllabuses for 2021 regulation.
For all Industrial Engineering results, visit Anna University Industrial all semester results direct link.