IM61004: Quality Engineering

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IM61004
Course name Quality Engineering
Offered by Industrial & Systems Engineering
Credits 4
L-T-P 3-1-0
Previous Year Grade Distribution






1


EX A B C D P F
Semester Spring


Syllabus

Syllabus mentioned in ERP

Prerequisites: IM31005 Quality Design and Control Experimental design fundamentals; Statistical concepts; Features of experimentation; Analysis of variance (ANOVA): no-way, one-way, two-way, and three-way ANOVA, Critique of Ftest; Some experimental designs: Factorial experiments (2k), role of contrasts, confounding, fractional replication, and other aspects; 2k-p fractional factorial experiments; Response Surface Methodology (RSM).Taguchi philosophy; Loss function; Orthogonal arrays: Steps in designing, conducting, and analysing an experiment; Parameter and tolerance design concepts: control and noise factors; Analysis of inner/outer array experiments: signal-to-noise ratio and performance measures; Applications to attribute data.Books1Montgomery, D.C. (2004), Design and Analysis of Experiments, John Wiley and Sons, 6th edition, 2004.2Moen, R.D., Nolan, T.W., and Provost, L.P. (1991), Improving Quality Through Planned Experimentation, McGraw-Hill, Inc., New York, International Edition.3Taguchi, G.(1986), Introduction to Quality Engineering: Designing Quality into Products and Process, Asian Productivity Organization, UNIPUP, White Plains, NY.4Taguchi, G., Chowdhury, S., and Wu, Y. (2005), Taguchis Quality Engineering Handbook, John Wiley and Sons, NJ.


Concepts taught in class

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