IM61004: Quality Engineering
IM61004 | |||||||||||||||||
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Course name | Quality Engineering | ||||||||||||||||
Offered by | Industrial & Systems Engineering | ||||||||||||||||
Credits | 4 | ||||||||||||||||
L-T-P | 3-1-0 | ||||||||||||||||
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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.