Question 1

Using simulation one should be able to find the optimal solution in a reasonable amount of computation time.

Accepted Answer

Simulation is a powerful tool for modeling complex systems and understanding their behavior under various conditions, but it does not inherently provide an optimal solution. It requires additional optimization techniques or algorithms to search for optimal solutions within the simulated environment, which can be computationally intensive and time-consuming, especially for complex problems.

Question 2

For simple waiting line systems, simulation makes it easier to find the operating characteristics than waiting line theory.

Accepted Answer

Waiting line theory (queuing theory) provides mathematical models for analyzing simple waiting line (queue) systems more directly and efficiently than simulation, which is more useful for complex systems where theoretical analysis becomes impractical.

Question 3

An advantage of simulation is that decision makers can see the effects of a policy over several years before making a decision.

Accepted Answer

False

Question 4

In simulation, several alternatives are evaluated and one chooses the best among the alternatives evaluated.

Accepted Answer

The answer of In simulation, several alternatives are evaluated and...

Question 5

Most practical applications of simulation can be solved using a paper and pencil approach.

Accepted Answer

Most practical applications of simulation are complex and require computational tools or software for solving, as they involve numerous variables and random elements that are beyond the practical reach of paper and pencil methods.

Question 6

Probabilistic simulation is akin to sampling, each run representing one sample.

Accepted Answer

The answer of Probabilistic simulation is akin to sampling, each...

Question 7

In general, the higher the variation in the output values of parameters of interest in repeated runs, the smaller the number of runs needed to estimate the expected values of these parameters with a given confidence level.

Accepted Answer

Higher variation in output values typically requires a larger number of runs to accurately estimate the expected values of parameters with a given confidence level, to ensure statistical reliability and precision.

Question 8

Most practical applications of simulation can be solved using a paper and pencil approach.

Accepted Answer

Most practical applications of simulation are complex and require computational tools or software for solving, as they involve numerous variables and random elements that cannot be effectively managed with a paper and pencil approach.

Question 9

The purpose of validation is to make sure that the computer program does what was intended to be done.

Accepted Answer

The answer of The purpose of validation is to make...

Question 10

The purpose of validation is to check whether model results adequately represent real system performance.

Accepted Answer

The answer of The purpose of validation is to check...

Question 11

If the variability of the parameter of interest as per simulation is higher, greater is the likelihood that the real system differs from the simulated system.

Accepted Answer

The answer of If the variability of the parameter of...

Question 12

In theory, the numbers on a random number table follow these properties: all numbers are equally likely, and if you take the numbers in a row only (left to right or right to left, but not top to bottom or across), no pattern appears in the sequence of numbers.

Accepted Answer

The answer of In theory, the numbers on a random...

Question 13

An important benefit of simulation is the ability to conduct the experiment under controlled conditions.

Accepted Answer

The answer of An important benefit of simulation is the...

Question 14

In a fertilizer plant, there is an intermediate storage tank for slurry. A new intern developed a simulation model to study the relationship between volume of slurry in the tank and time of day. This is an example of discrete simulation.

Accepted Answer

The simulation described is an example of continuous simulation because it studies changes over a continuous time frame (time of day) and deals with continuous variables (volume of slurry). Discrete simulation, on the other hand, would focus on events that change at distinct points in time.

Question 15

Fixed interval simulation is appropriate when the user is interested in how many events occurred, rather than exactly at what time or at which location the event occurred.

Accepted Answer

Fixed interval simulation is more focused on observing the state of a system at regular intervals, rather than counting the number of events. For counting events, discrete event simulation is more appropriate.

Question 16

In simulation several alternatives are evaluated, and one chooses the best among the alternatives evaluated.

Accepted Answer

The answer of In simulation several alternatives are evaluated, and...

Question 17

Probabilistic simulation is suitable for problems that do not have an inherent fixed answer.

Accepted Answer

The answer of Probabilistic simulation is suitable for problems that...

Question 18

In the 7-step process for simulation, 'Run Simulations' comes before 'Validating the Model'.

Accepted Answer

In the 7-step process for simulation, 'Validating the Model' typically comes before 'Run Simulations' to ensure the model accurately represents the real-world scenario it is intended to simulate.

Question 19

Comparing the results of a simulation model under construction with the known system performance under identical circumstances will help you to validate the system.

Accepted Answer

The answer of Comparing the results of a simulation model...

Question 20

All deterministic simulations incorporate mechanisms for mimicking a random behavior of one or more variables.

Accepted Answer

Deterministic simulations do not incorporate randomness; they produce the same output given the same initial conditions and inputs, unlike stochastic simulations which mimic randomness.

Quiz 14: Simulation Cdrom Modules

Using simulation one should be able to find the optimal solution in a reasonable amount of computation time.

For simple waiting line systems, simulation makes it easier to find the operating characteristics than waiting line theory.

An advantage of simulation is that decision makers can see the effects of a policy over several years before making a decision.

In simulation, several alternatives are evaluated and one chooses the best among the alternatives evaluated.

Most practical applications of simulation can be solved using a paper and pencil approach.

Probabilistic simulation is akin to sampling, each run representing one sample.

In general, the higher the variation in the output values of parameters of interest in repeated runs, the smaller the number of runs needed to estimate the expected values of these parameters with a given confidence level.

Most practical applications of simulation can be solved using a paper and pencil approach.

The purpose of validation is to make sure that the computer program does what was intended to be done.

The purpose of validation is to check whether model results adequately represent real system performance.

If the variability of the parameter of interest as per simulation is higher, greater is the likelihood that the real system differs from the simulated system.

In theory, the numbers on a random number table follow these properties: all numbers are equally likely, and if you take the numbers in a row only (left to right or right to left, but not top to bottom or across), no pattern appears in the sequence of numbers.

An important benefit of simulation is the ability to conduct the experiment under controlled conditions.

In a fertilizer plant, there is an intermediate storage tank for slurry. A new intern developed a simulation model to study the relationship between volume of slurry in the tank and time of day. This is an example of discrete simulation.

Fixed interval simulation is appropriate when the user is interested in how many events occurred, rather than exactly at what time or at which location the event occurred.

In simulation several alternatives are evaluated, and one chooses the best among the alternatives evaluated.

Probabilistic simulation is suitable for problems that do not have an inherent fixed answer.

In the 7-step process for simulation, 'Run Simulations' comes before 'Validating the Model'.

Comparing the results of a simulation model under construction with the known system performance under identical circumstances will help you to validate the system.

All deterministic simulations incorporate mechanisms for mimicking a random behavior of one or more variables.