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Last updated:

September 25, 2023

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FREE

This course includes:

Unlimited Duration

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Description

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)

Course Curriculum

  • Lecture 01 – Introduction to Simulation Unlimited
  • Lecture 02 – Concept of System, Model and Simulation Unlimited
  • Lecture 03 – Time Advance Mechanism, Components of a Simulation Model Unlimited
  • Lecture 04 – Program Organization and Logic, Steps in a Simulation Study Unlimited
  • Lecture 05 – Simulation Examples Unlimited
  • Lecture 06 – Statistical Models in Simulation Unlimited
  • Lecture 07 – Input Probability Distribution Functions for Discrete Systems Unlimited
  • Lecture 08 – Continuous Distribution Functions Unlimited
  • Lecture 09 – Continuous Distribution Functions and Empirical Distribution Functions Unlimited
  • Lecture 10 – Problem Solving on Statistical Models in Simulation Unlimited
  • Lecture 11 – Characteristics of a Queueing System Unlimited
  • Lecture 12 – Performance Measures of Queueing System Unlimited
  • Lecture 13 – Analysis of Single Server Queueing System Unlimited
  • Lecture 14 – Simulation of Single Server Queueing System Unlimited
  • Lecture 15 – Computer Representation of Simulation of Single Server Queueing System Unlimited
  • Lecture 16 – Generation of Random Numbers Unlimited
  • Lecture 17 – Issues and Challenges in Congruential Generators Unlimited
  • Lecture 18 – Testing of Random Numbers Unlimited
  • Lecture 19 – Generations of Random Variates Unlimited
  • Lecture 20 – Problem Solving on Random Number and Random Variate Generation Unlimited
  • Lecture 21 – Input Modeling: Identifying Distributions with Data Unlimited
  • Lecture 22 – Input Modeling: Estimation of Parameters Unlimited
  • Lecture 23 – Input Modeling: Goodness-of-Fit Tests and Assessing Sample Dependence Unlimited
  • Lecture 24 – Input Modeling: Multivariate Input Models Unlimited
  • Lecture 25 – Problem Solving on Input Modeling Unlimited
  • Lecture 26 – Output Analysis of a Single System: Introduction Unlimited
  • Lecture 27 – Obtaining a Specified Precision Unlimited
  • Lecture 28 – Comparison of Alternative System Configurations Unlimited
  • Lecture 29 – Confidence Intervals for Comparing More than Two Systems Unlimited
  • Lecture 30 – Problem Solving on Output Analysis of Single and Alternative Systems Unlimited
  • Lecture 31 – Introduction to Simulation of Manufacturing and Material Handling System Unlimited
  • Lecture 32 – Issues in Material Handling System Unlimited
  • Lecture 33 – Modeling of System Randomness: Machine Downtime Unlimited
  • Lecture 34 – Verification of Simulation Models Unlimited
  • Lecture 35 – Model Validity and Credibility Unlimited
  • Lecture 36 – Problem Solving and Case Studies on Simulation of Manufacturing System Unlimited
  • Lecture 37 – Introduction to Monte Carlo Simulation Unlimited
  • Lecture 38 – Inventory Control Simulation using Monte Carlo Technique Unlimited
  • Lecture 39 – Monte Carlo Simulation of Queueing Problems Unlimited
  • Lecture 40 – Problem Solving on Monte Carlo Simulation Unlimited

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