Simulation & Process Modeling

Unit 1: Introduction to modeling and simulation

 Modeling and simulation methodology
 System modeling
 Concept of simulation
 Continuous and Discrete event simulation

Unit 2: Basic concept of probability

 Basic concept of probability
 Generation and characteristics of random variables
 Continuous and discrete variables and their distributions
 Linear, nonlinear and stochastic models

Unit 3: Introduction to Queuing Theory Edit

 Characteristics of queuing system
 Poisson's formula
 birth-death system
 Equilibrium of queuing system
 Analysis of M/M/1 queues
 M/M/c Application of queuing theory

Unit 4: System Dynamics modeling

 Identification of problem situation
 Preparation of causal loop diagrams and flow diagrams
 Equation writing
 Level and rate relationship
 Simulation of system dynamics models

Unit 5: Verification and validation

 Identification of problem situation
 Preparation of causal loop diagrams and flow diagrams
 Equation writing
 Level and rate relationship
 Simulation of system dynamics models