NOC:Modelling and Simulation of Discrete Event System


Lecture 1 - Introduction to Simulation


Lecture 2 - Concept of System, Model and Simulation


Lecture 3 - Time advance mechanism, Components of a simulation model


Lecture 4 - Program organization and logic, Steps in a simulation study


Lecture 5 - Simulation examples


Lecture 6 - Statistical Models in Simulation


Lecture 7 - Input probability distribution functions for discrete systems


Lecture 8 - Continuous distribution functions


Lecture 9 - Continuous distribution functions and empirical distribution functions


Lecture 10 - Problem solving on statistical models in simulation


Lecture 11 - Characteristics of a queueing system


Lecture 12 - Performance measures of queueing system


Lecture 13 - Analysis of a single server queueing system


Lecture 14 - Simulation of a single server queueing system


Lecture 15 - Computer representation of simulation of single server queuing system


Lecture 16 - Generation of Random Numbers


Lecture 17 - Issues and Challenges in Congruential Generators


Lecture 18 - Testing of random numbers


Lecture 19 - Generation of Random Variates


Lecture 20 - Problem Solving on Random Number and Random Variate Generation


Lecture 21 - Input modeling: Identifying distributions with data


Lecture 22 - Input modeling: Estimation of parameters


Lecture 23 - Input modeling: Goodness-of-fit tests and assessing sample dependence


Lecture 24 - Input modeling: Multivariate input models


Lecture 25 - Problem Solving on input modeling


Lecture 26 - Output analysis of a single system: Introduction


Lecture 27 - Obtaining a specified precision


Lecture 28 - Comparison of alternative system configurations


Lecture 29 - Confidence Intervals for comparing more than two systems


Lecture 30 - Problem Solving on output analysis of single and alternative systems


Lecture 31 - Introduction to simulation of manufacturing and material handling system


Lecture 32 - Issues in material handling system


Lecture 33 - Modeling of system randomness: Machine downtime


Lecture 34 - Verification of simulation models


Lecture 35 - Model validity and credibility


Lecture 36 - Problem solving and case studies on simulation of manufacturing system


Lecture 37 - Introduction to Monte Carlo Simulation


Lecture 38 - Inventory Control Simulation using Monte Carlo Technique


Lecture 39 - In this lecture, Monte Carlo technique was used to solve inventory system problems


Lecture 40 - Problem solving on Monte Carlo Simulation