IM3401 DESIGN OF EXPERIMENTS SYLLABUS | ANNA UNIVERSITY BE INDUSTRIAL ENGINEERING AND MANAGEMENT 7TH SEM SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY SEVENTH SEMESTER BE INDUSTRIAL ENGINEERING AND MANAGEMENT DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI,TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
IM3401 DESIGN OF EXPERIMENTS L T P C
3 1 0 4
OBJECTIVE:
To impart knowledge on statistical tools for industrial experimentation related to
selection of product and process parameters in various environments.
UNIT I CONCEPTS AND TERMINOLOGY 5
Review of hypothesis testing – P Value, “t” Vs paired “t” test, simple comparative
experiment, planning of experiment – steps. Terminology - factors, levels, variables,
Design principles – replication, randomization, blocking, confounding, Analysis of
variance, sum of squares, degrees of freedom.
UNIT II SINGLE FACTOR EXPERIMENTS 10
Completely randomized design, Randomized block design, effect of coding the
observations, Latin Square design, orthogonal contrasts, comparison of treatment
means – Duncan’s multiple range test, Newman- Keuel’s test, Fisher’s LSD test,
Tukey’s test.
UNIT III FACTORIAL EXPERIMENTS 10
Main and interaction effects, Rules for sum of squares and expected mean square,
two and three factor full factorial design, 2k designs with two and three factors, Yate’s
algorithm, practical applications.
UNIT IV SPECIAL EXPERIMENTAL DESIGNS 10
Blocking and confounding in 2k design, nested design, split – plot design, two level
fractional factorial design, fitting regression models, introduction to response surface
methods- Central composite design.
UNIT V TAGUCHI TECHNIQUES 10
Introduction, Orthogonal designs, data analysis using ANOVA and response graph,
parameter design – noise factors, objective functions (S/N ratios), multi-level factor
OA designs, applications.
TOTAL : 45 +15 = 60 PERIODS
TEXT BOOK :
1. Douglus C.Montgomery, Design and Analysis of Experiments, John Wiley
& Sons,2005
REFERENCES :
52
1. Angela M.Dean and Daniel Voss, Design and Analysis of Experiments,
Springer texts in Statistics, 2000.
2. Philip J.Ross, Taguchi Techniques for Quality Engineering, Prentice Hall, 1989.
IM3401 DESIGN OF EXPERIMENTS L T P C
3 1 0 4
OBJECTIVE:
To impart knowledge on statistical tools for industrial experimentation related to
selection of product and process parameters in various environments.
UNIT I CONCEPTS AND TERMINOLOGY 5
Review of hypothesis testing – P Value, “t” Vs paired “t” test, simple comparative
experiment, planning of experiment – steps. Terminology - factors, levels, variables,
Design principles – replication, randomization, blocking, confounding, Analysis of
variance, sum of squares, degrees of freedom.
UNIT II SINGLE FACTOR EXPERIMENTS 10
Completely randomized design, Randomized block design, effect of coding the
observations, Latin Square design, orthogonal contrasts, comparison of treatment
means – Duncan’s multiple range test, Newman- Keuel’s test, Fisher’s LSD test,
Tukey’s test.
UNIT III FACTORIAL EXPERIMENTS 10
Main and interaction effects, Rules for sum of squares and expected mean square,
two and three factor full factorial design, 2k designs with two and three factors, Yate’s
algorithm, practical applications.
UNIT IV SPECIAL EXPERIMENTAL DESIGNS 10
Blocking and confounding in 2k design, nested design, split – plot design, two level
fractional factorial design, fitting regression models, introduction to response surface
methods- Central composite design.
UNIT V TAGUCHI TECHNIQUES 10
Introduction, Orthogonal designs, data analysis using ANOVA and response graph,
parameter design – noise factors, objective functions (S/N ratios), multi-level factor
OA designs, applications.
TOTAL : 45 +15 = 60 PERIODS
TEXT BOOK :
1. Douglus C.Montgomery, Design and Analysis of Experiments, John Wiley
& Sons,2005
REFERENCES :
52
1. Angela M.Dean and Daniel Voss, Design and Analysis of Experiments,
Springer texts in Statistics, 2000.
2. Philip J.Ross, Taguchi Techniques for Quality Engineering, Prentice Hall, 1989.
