IM60005: Decision Modelling

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IM60005
Course name DECISION MODELLING
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 {{{semester}}}


Syllabus

Syllabus mentioned in ERP

Linear programming: Formulation of LP models, Graphical procedure of solution and Simplex method, Duality Concept and its applications, Dual Simplex Methods Linear Algebra, Revised Simplex Method, Sensitivity Analysis Transportation and Assignment problems, Network flow Linear programming approach to goal programming and gaming situations Integer Programming, Cutting plane algorithm and Branch and bound algorithm Probability and statistical methods: probability and conditional probability, random variables, density and distribution functions, Important statistical distributions and their properties, sampling and sampling distributions, point and internal estimation, tests of hypothesis, regression and correlation analysis, and analysis of variance Models and Modelling: model verification and validation, decision modelling for deterministic, uncertainty, risk and competitive situations. Books •Ravindran, A., Philips, D.T., and Solberg, J.J., Operations research, John Wiley and Sons. •Taha H.A., Operation Research- An Introduction, PHI •Hillier F.S. and Lieberman G.J., Introduction to Operation Research, McGraw Hill. •Hadley G., Linear Programming, Addison-Wesley.


Concepts taught in class

Student Opinion

How to Crack the Paper

Classroom resources

Additional Resources

Time Table

Day 8:00-8:55 am 9:00-9:55 am 10:00-10:55 am 11:00-11:55 am 12:00-12:55 pm 2:00-2:55 pm 3:00-3:55 pm 4:00-4:55 pm 5:00-5:55 pm
Monday
Tuesday
Wednesday ISE-E1
Thursday ISE-E1
Friday ISE-E1 ISE-E1