IM31002: Quality Engineering
| IM31002 | |||||||||||||||||||||||||||
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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.Booksâ¢Montgomery, D.C. (2004), Design and Analysis of Experiments, John Wiley