Learn · Modeling and Simulation of Discrete Event Systems
Lecture 8 of 40Unit-2
Continuous distribution functions
Prof. P. Kumar Jha · IIT Roorkee
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- Modeling and Simulation of Discrete Event Systems, IIT Roorkee (at NPTEL)
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All the lectures
- Introduction to Simulation
- Concept of System, Model and Simulation
- Time advance mechanism, Components of a simulation model
- Program organization and logic, Steps in a simulation study
- Simulation examples
- Statistical Models in Simulation
- Input probability distribution functions for discrete systems
- Continuous distribution functions
- Continuous distribution functions and empirical distribution functions
- Problem solving on statistical models in simulation
- Characteristics of a queueing system
- Performance measures of queueing system
- Analysis of a single server queueing system
- Simulation of a single server queueing system
- Computer representation of simulation of single server queuing system
- Generation of Random Numbers
- Issues and Challenges in Congruential Generators
- Testing of random numbers
- Generation of Random Variates
- Problem Solving on Random Number and Random Variate Generation
- Input modeling: Identifying distributions with data
- Input modeling: Estimation of parameters
- Input modeling: Goodness-of-fit tests and assessing sample dependence
- Input modeling: Multivariate input models
- Problem Solving on input modeling
- Output analysis of a single system: Introduction
- Obtaining a specified precision
- Comparison of alternative system configurations
- Confidence Intervals for comparing more than two systems
- Problem Solving on output analysis of single and alternative systems
- Introduction to simulation of manufacturing and material handling system
- Issues in material handling system
- Modeling of system randomness: Machine downtime
- Verification of simulation models
- Model validity and credibility
- Problem solving and case studies on simulation of manufacturing system
- Introduction to Monte Carlo Simulation
- Inventory Control Simulation using Monte Carlo Technique
- In this lecture, Monte Carlo technique was used to solve inventory system problems
- Problem solving on Monte Carlo Simulation