Lecture 40 - Problem solving on Monte Carlo Simulation
Modeling and Simulation of Discrete Event Systems
Lecture 40 - Problem solving on Monte Carlo Simulation
34:19
Lecture 39 - Monte Carlo Simulation of Queueing Problems
Modeling and Simulation of Discrete Event Systems
Lecture 39 - Monte Carlo Simulation of Queueing Problems
31:17
Lecture 38 - Inventory Control Simulation using Monte Carlo Technique
Modeling and Simulation of Discrete Event Systems
Lecture 38 - Inventory Control Simulation using Monte Carlo Technique
37:58
Lecture 37- Introduction to Monte Carlo Simulation
Modeling and Simulation of Discrete Event Systems
Lecture 37- Introduction to Monte Carlo Simulation
33:40
Lecture 36 - Problem solving and case studies on simulation of manufacturing system
Modeling and Simulation of Discrete Event Systems
Lecture 36 - Problem solving and case studies on simulation of manufacturing system
35:21
Lecture 35 - Model validity and credibility
Modeling and Simulation of Discrete Event Systems
Lecture 35 - Model validity and credibility
29:40
Lecture 34 - Verification of simulation models
Modeling and Simulation of Discrete Event Systems
Lecture 34 - Verification of simulation models
31:58
Lecture 33 - Modeling of system randomness: Machine downtime
Modeling and Simulation of Discrete Event Systems
Lecture 33 - Modeling of system randomness: Machine downtime
30:57
Lecture 32 - Issues in material handling system
Modeling and Simulation of Discrete Event Systems
Lecture 32 - Issues in material handling system
29:48
Lecture 31 - Introduction to simulation of manufacturing and material handling system
Modeling and Simulation of Discrete Event Systems
Lecture 31 - Introduction to simulation of manufacturing and material handling system
29:51
Lecture 30 - Problem Solving on output analysis of single and alternative systems
Modeling and Simulation of Discrete Event Systems
Lecture 30 - Problem Solving on output analysis of single and alternative systems
33:47
Lecture 29 - Confidence Intervals for comparing more than two systems
Modeling and Simulation of Discrete Event Systems
Lecture 29 - Confidence Intervals for comparing more than two systems
34:43
Lecture 28 - Comparison of alternative system configurations
Modeling and Simulation of Discrete Event Systems
Lecture 28 - Comparison of alternative system configurations
31:28
Lecture 27- Obtaining a specified precision
Modeling and Simulation of Discrete Event Systems
Lecture 27- Obtaining a specified precision
32:35
Lecture 26 - Output analysis of a single system: Introduction
Modeling and Simulation of Discrete Event Systems
Lecture 26 - Output analysis of a single system: Introduction
36:21
Lecture 25 - Problem Solving on input modeling
Modeling and Simulation of Discrete Event Systems
Lecture 25 - Problem Solving on input modeling
33:24
Lecture 24 - Input modeling: Multivariate input models
Modeling and Simulation of Discrete Event Systems
Lecture 24 - Input modeling: Multivariate input models
30:40
Lecture 23 - Input modeling: Goodness-of-fit tests and assessing sample dependence
Modeling and Simulation of Discrete Event Systems
Lecture 23 - Input modeling: Goodness-of-fit tests and assessing sample dependence
35:11
Lecture 22 - Input modeling: Estimation of parameters
Modeling and Simulation of Discrete Event Systems
Lecture 22 - Input modeling: Estimation of parameters
35:22
Lecture 21 - Input modeling: Identifying distributions with data
Modeling and Simulation of Discrete Event Systems
Lecture 21 - Input modeling: Identifying distributions with data
33:49
Lecture 18 - Testing of random numbers
Modeling and Simulation of Discrete Event Systems
Lecture 18 - Testing of random numbers
36:19
Lecture 20 - Problem Solving on Random Number and Random Variate Generation
Modeling and Simulation of Discrete Event Systems
Lecture 20 - Problem Solving on Random Number and Random Variate Generation
31:35
Lecture 19 - Generation of Random Variates
Modeling and Simulation of Discrete Event Systems
Lecture 19 - Generation of Random Variates
26:03
Lecture 17 - Issues and Challenges in Congruential Generators
Modeling and Simulation of Discrete Event Systems
Lecture 17 - Issues and Challenges in Congruential Generators
35:38
Lecture 16 - Generation of Random Numbers
Modeling and Simulation of Discrete Event Systems
Lecture 16 - Generation of Random Numbers
33:52
Lecture 15 - Computer representation of simulation of single server queuing system
Modeling and Simulation of Discrete Event Systems
Lecture 15 - Computer representation of simulation of single server queuing system
34:54
Lecture 14 - Simulation of a single server queueing system
Modeling and Simulation of Discrete Event Systems
Lecture 14 - Simulation of a single server queueing system
33:48
Lecture 13 - Analysis of a single server queueing system
Modeling and Simulation of Discrete Event Systems
Lecture 13 - Analysis of a single server queueing system
32:07
Lecture 12 - Performance Measures of Queueing System
Modeling and Simulation of Discrete Event Systems
Lecture 12 - Performance Measures of Queueing System
32:49
Lecture 11 - Characteristics of a queueing system
Modeling and Simulation of Discrete Event Systems
Lecture 11 - Characteristics of a queueing system
33:13
Lecture 10 - Problem solving on statistical models in simulation
Modeling and Simulation of Discrete Event Systems
Lecture 10 - Problem solving on statistical models in simulation
31:41
Lecture 09 - Continuous distribution functions and empirical distribution functions
Modeling and Simulation of Discrete Event Systems
Lecture 09 - Continuous distribution functions and empirical distribution functions
37:24
Lecture 08 - Continuous distribution functions
Modeling and Simulation of Discrete Event Systems
Lecture 08 - Continuous distribution functions
33:08
Lecture 07 - Input probability distribution functions for discrete systems
Modeling and Simulation of Discrete Event Systems
Lecture 07 - Input probability distribution functions for discrete systems
32:47
Lecture 06 - Statistical Models in Simulation
Modeling and Simulation of Discrete Event Systems
Lecture 06 - Statistical Models in Simulation
34:18
Lecture 05 - Simulation examples
Modeling and Simulation of Discrete Event Systems
Lecture 05 - Simulation examples
31:12
Lecture 04 - Program organization and logic, Steps in a simulation study
Modeling and Simulation of Discrete Event Systems
Lecture 04 - Program organization and logic, Steps in a simulation study
31:31
Lecture 03 - Time advance mechanism, Components of a simulation model
Modeling and Simulation of Discrete Event Systems
Lecture 03 - Time advance mechanism, Components of a simulation model
31:01
Lecture 02 - Concept of System, Model and Simulation
Modeling and Simulation of Discrete Event Systems
Lecture 02 - Concept of System, Model and Simulation
31:50
Lecture 01- Introduction  to Simulation
Modeling and Simulation of Discrete Event Systems
Lecture 01- Introduction to Simulation
30:54
Modeling and Simulation of Discrete Event Systems promo
Modeling and Simulation of Discrete Event Systems
Modeling and Simulation of Discrete Event Systems promo
4:27