Design of Experiments detailed syllabus scheme for Production Engineering (PR), 2019-20 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For 8th Sem Scheme of Production Engineering (PR), 2019-20 Onwards, do visit PR 8th Sem Scheme, 2019-20 Onwards. For the Elective-X scheme of 8th Sem 2019-20 onwards, refer to PR 8th Sem Elective-X Scheme 2019-20 Onwards. The detail syllabus for design of experiments is as follows.
Design of Experiments Syllabus for Production Engineering (PR) 4th Year 8th Sem 2019-20 DBATU
Course Objectives:
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Pre-requisite:
Engineering mathematics-I
Course Outcomes:
At the end of the course, students will be able to:
- Define Taguchi, factorial experiments, variability, orthogonal array, quality loss.
- Plan and design the experimental investigations efficiently and effectively.
- Understand strategy in planning and conducting experiments.
- Evaluate variability in the experimental data using ANOVA.
- Practice statistical software to achieve robust design of experiments.
Unit 1
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Unit 2
Full Factorial Designs
traditional scientific experiments, two factor design, three factor design, replicating experiments, factoring reactions, normal plots of estimated effects, mechanical plating experiments, four factor design, Taguchi design and western design.
Unit 3
Fractional Factorial Design
Fractional factorial design base done eight run experiments, folding over an eight run experimental design, Fractional factorial design in sixteen run, folding over sixteen run experimental design, blocking two level designs, other two level designs, Necessity to use more than two level, factors at three and four levels.
Unit 4
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Unit 5
Evaluating Variability
Necessity to analyze variability, measures of variability, the normal distribution, Analysis of variance in engineering design, using estimated effects as test statistics, analysis of variance for two level designs
Unit 6
Computer Software for Experimental Design
Role of computer software in experimental design, summery of statistical packages, example of use of software packages.
Text Books\Reference Book:
- D. C. Montgomery, Design and Analysis of Experiments, John Wiley and Sons, New York, 5th edition, 2004.
- R. H. Lochner, J. E. Matar, Designing for Quality: An Introduction to the Best of Taguchi and Western Methods of Statistical Experimental Design, Chapman and Hall, London, 1983.
- M. S. Phadke, Quality Engineering using Robust Design, Prentice Hall, Engle wood Cliffs, New Jersey, 1989.
For detail syllabus of all subjects of Production Engineering (PR) 8th Sem 2019-20 onwards, visit PR 8th Sem Subjects of 2019-20 Onwards.