Discrete Event Simulation Quiz

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Questions and Answers

What is the focus of Module 2 in Dr. Pawan Singh Mehra's course?

The focus of Module 2 is on Discrete Event Simulation.

What are the two time advance mechanisms discussed in Module 2?

The two time advance mechanisms discussed are Next event time advance mechanism and Fixed increment time advance mechanism.

What are the types of systems mentioned by Dr. Pawan Singh Mehra?

The types of systems mentioned are Discrete and Continuous systems.

What are examples of partly discrete, partly continuous systems?

Examples of partly discrete, partly continuous systems include Airplane flight where state variables like position and velocity change continuously. Signup and view all the answers

What is an example of a system with discrete state variables?

An example of a system with discrete state variables is a Bank model, where state changes occur only when a customer arrives or departs. Signup and view all the answers

Explain the concept of discrete event simulation as mentioned by Dr. Pawan Singh Mehra in Module 2?

Discrete event simulation involves modeling the operation of a system as a sequence of events in time, where the state variables change only at these specific points in time. Signup and view all the answers

What are the two types of systems discussed by Dr. Pawan Singh Mehra?

Dr. Pawan Singh Mehra discusses discrete systems and continuous systems. Signup and view all the answers

Provide an example of a system with discrete state variables as mentioned by Dr. Pawan Singh Mehra?

An example of a system with discrete state variables is the bank model, where state changes occur only when a customer arrives or departs. Signup and view all the answers

What are the two time advance mechanisms mentioned in Module 2 by Dr. Pawan Singh Mehra?

The two time advance mechanisms discussed are the next event time advance mechanism and the fixed increment time advance mechanism. Signup and view all the answers

What is the focus of Module 2 in Dr. Pawan Singh Mehra's course?

The focus of Module 2 is on discrete event simulation, time advance mechanisms, components and organization of a discrete event simulation model, and selected illustrative examples of simulation application models. Signup and view all the answers

What are the contents of Module 2?

Discrete Event Simulation, Time Advance Mechanism, Next event time advance mechanism, Fixed increment time advance mechanism, Components and Organization of a Discrete Event Simulation Model, Selected Illustrative Examples of Simulation Application Models- Single Server Queue Signup and view all the answers

What are the types of systems mentioned in the text?

Discrete State systems and Continuous State systems Signup and view all the answers

What are examples of systems mentioned in the text?

Bank model and Airplane flight Signup and view all the answers

What are the types of state variables mentioned in the text?

Discrete state variables and Continuous state variables Signup and view all the answers

Who is the author of the text?

Dr. Pawan Singh Mehra Signup and view all the answers

What is the focus of Module 2 in Dr. Pawan Singh Mehra's course?

Discrete Event Simulation (D) Signup and view all the answers

Which type of system has state variables that change instantaneously at separated points in time?

Discrete State system (A) Signup and view all the answers

What are the two time advance mechanisms discussed in Module 2 by Dr. Pawan Singh Mehra?

Next event time advance mechanism and Fixed increment time advance mechanism (D) Signup and view all the answers

What is an example of a system with discrete state variables as mentioned by Dr. Pawan Singh Mehra?

Bank model (B) Signup and view all the answers

What are examples of partly discrete, partly continuous systems?

Bank model and Airplane flight (D) Signup and view all the answers

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Study Notes

Module 2 Overview

Focuses on the fundamentals of modeling and simulation

Time Advance Mechanisms

Two types: Next-Event Time Advance and Fixed-Increment Time Advance

System Types

Discrete systems: state variables change instantaneously at separated points in time
Continuous systems: state variables change continuously over time
Partly discrete, partly continuous systems: combine elements of discrete and continuous systems

Partly Discrete, Partly Continuous Systems

Examples: traffic flow, inventory management, and banking systems

Discrete State Variables

Examples: number of customers in a queue, amount of inventory in a warehouse
Systems with discrete state variables: bank accounts, inventory management systems

Discrete Event Simulation

A method for modeling and analyzing systems that change at discrete points in time
Involves simulating the behavior of a system over time, with state variables changing at specific events