• OR and Optimization Models, Linear Programming
• Operations Research
• Introduction and definitions
• Basic terms
• Phases of OR
• Linear programming –phases and definitions

• Linear Programming – Formulation
• Linear Programming problems
• Introduction
• Formulation of LPP

• Linear Programming – Graphical Solution
• Solution of LPP
• Graphical Method

• Linear Programming – Simplex Method.
• Solution of LPP
• Simlpex method

• Transportation model – Initial Basic Feasible Solutions, Optimum Solution
• Transportation problem
• Introduction
• Mathematical Formulation
• Methods to find initial solutionVAM
• North west corner method
• Minimum cost method
• Optimum solution
• MODI method

• Probability: Random Experiment, Sample Space and Events, Addition and Multiplication theorems
• Probability
• Definitions –random experiment, sample space events etc.
• Statement of Addition theorem and multiplication theorems
• Problems based on the above theorems
• Conditional probability

• Random Variable and Probability Distribution: Binomial, Poisson, Normal
• Random Variable & Probability Distributions
• Discrete and continuous random variable
• Probability Distributions continuous and discrete
• Binomial distribution
• Poisson distribution
• Normal Distribution
• Uniform Distribution
• Problems based on the above

• Simulation – Types of simulation, Monte Carlo Simulation, Simulation Problems
• Simulation
• Simulation – Introduction and definitions
• Types of Simulation
• Monte –Carlo simulation
• Simulation of problems

• Waiting Line Model – Structure of model, M/M/1 for infinite population.
• Queuing theory (Waiting line models)
• Queuing Theory –Introduction
• Components of Queuing model
• M/M/1: inf/FCFS Queuing model
• Problems