- 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
- 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