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Modeling and Simulation of Discrete Event Systems

Modeling and Simulation of Discrete Event Systems. Instructor: Dr. Pradeep K. Jha, Department of Mechanical and Industrial Engineering, IIT Roorkee. The course deals with all the important aspects of discrete event system simulation with particular emphasis on applications in manufacturing, services and computing. This course is meant for an upper level undergraduate or master's level introduction to modeling and simulation techniques for discrete event systems. (from nptel.ac.in)

 Introduction

 Lecture 01 - Introduction to Simulation Lecture 02 - Concept of System, Model and Simulation Lecture 03 - Time Advance Mechanism, Components of a Simulation Model Lecture 04 - Program Organization and Logic, Steps in a Simulation Study Lecture 05 - Simulation Examples Lecture 06 - Statistical Models in Simulation Lecture 07 - Input Probability Distribution Functions for Discrete Systems Lecture 08 - Continuous Distribution Functions Lecture 09 - 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 Single Server Queueing System Lecture 14 - Simulation of Single Server Queueing System Lecture 15 - Computer Representation of Simulation of Single Server Queueing System Lecture 16 - Generation of Random Numbers Lecture 17 - Issues and Challenges in Congruential Generators Lecture 18 - Testing of Random Numbers Lecture 19 - Generations 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 - Monte Carlo Simulation of Queueing Problems Lecture 40 - Problem Solving on Monte Carlo Simulation

 References Modeling and Simulation of Discrete Event Systems Instructor: Dr. Pradeep K. Jha, Department of Mechanical and Industrial Engineering, IIT Roorkee. The course deals with all the important aspects of discrete event system simulation with particular emphasis on applications in manufacturing, services and computing.