Question 1

________ is a technique for selecting numbers randomly from a probability distribution.

Accepted Answer

The Monte

Question 2

The use of simulation to determine the impact of projects such as nuclear power plants, reservoirs and dams is known as

Accepted Answer

A)  public service operation. 
B)  environmental and resource analysis. 
C)  cost benefit analysis. 
D)  project management. 
A)  public service operation. 
B)  environmental and resource analysis. 
C)  cost benefit analysis. 
D)  project management.

Question 3

A graduate research assistant "moonlights" at the short order counter in the student union snack bar in the evenings. He is considering asking for help taking orders, but needs to convince the management that they should hire another student. Because he is taking a simulation class, he thinks it may be the perfect way to convince management to hire more help if he can show that customers have to wait a long time. When a customer arrives, he takes their order and their payment, prepares the food, gives it to the customer, and then takes the order from the next person in line. If someone arrives while he's cooking an order, they have to wait until he's completed the current order. He has simulated 5 orders.

$$\begin{array} { | c | c | c | c | c | c | } 
\hline \begin{array} { c } 
\text { Customer } \
\text { Number }
\end{array} & \begin{array} { c } 
\text { Time of } \
\text { Arrival }
\end{array} & \begin{array} { c } 
\text { Time } \
\text { Order } \
\text { Taken }
\end{array} & \begin{array} { c } 
\text { Order } \
\text { Prep } \
\text { Time }
\end{array} & \begin{array} { c } 
\text { Customer } \
\text { Receives } \
\text { Food }
\end{array} & \begin{array} { c } 
\text { Customer } \
\text { Wait } \
\text { Time }
\end{array} \
\hline 1 & 2 & 2 & 4 & 6 & 0 \
\hline 2 & 14 & 14 & 7 & & \
\hline 3 & 19 & & 6 & & \
\hline 4 & 28 & & 8 & & \
\hline 5 & 33 & & 4 & & \
\hline
\end{array}$$
-Average customer waiting time is:

Accepted Answer

A)  1 minute 
B)  2 minutes 
C)  2.5 minutes 
D)  3 minutes 
A)  1 minute 
B)  2 minutes 
C)  2.5 minutes 
D)  3 minutes

Question 4

Consider the following frequency of demand and random numbers:
 $$\begin{array}{l}
\begin{array} { c c } 
&\text { Relative }\
\text { Demand } & \text { Frequency } \
\hline 0 & 0.15 \
1 & 0.30 \
2 & 0.25 \
3 & 0.15 \
4 & 0.15
\end{array}
\end{array}$$ Random numbers: 0.13, 0.81, 0.53.
-If the simulation begins with the first random number, the simulated value for demand would be:

Accepted Answer

A)  0 
B)  1 
C)  2 
D)  3 
A)  0 
B)  1 
C)  2 
D)  3

Question 5

A limitation of simulation is that

Accepted Answer

A)  models are typically well-structured and must be developed for problems that are also well-structured. 
B)  it is usually possible to realistically validate simulation results. 
C)  model building is costly and time-consuming. 
D)  it is more difficult to manipulate the elements of a computer simulation than the actual system. 
A)  models are typically well-structured and must be developed for problems that are also well-structured. 
B)  it is usually possible to realistically validate simulation results. 
C)  model building is costly and time-consuming. 
D)  it is more difficult to manipulate the elements of a computer simulation than the actual system.

Question 6

Two hundred simulation runs were completed using the probability of a machine breakdown from the table below. The average number of breakdowns from the simulation trials was 1.93 with a standard deviation of 0.20.
 $$\begin{array} { | c | c | c | } 
\hline \begin{array} { c } 
\text { No. of } \
\text { breakdowns } \
\text { per week }
\end{array} & \text { Probability } & \begin{array} { c } 
\text { Cumulative } \
\text { probability }
\end{array} \
\hline 0 & .10 & .10 \
\hline 1 & .25 & .35 \
\hline 2 & .36 & .71 \
\hline 3 & .22 & .93 \
\hline 4 & .07 & 1.00 \
\hline
\end{array}$$
-What is the probability that there are more than 3 breakdowns?

Accepted Answer

A)  .07 
B) .10 
C)  .22 
D)  .25 
A)  .07 
B) .10 
C)  .22 
D)  .25

Question 7

Developing the ________ probability distribution helps to determine random number ranges.

Accepted Answer

The answer of Developing the ________ probability distribution helps to...

Question 8

A graduate research assistant "moonlights" at the short order counter in the student union snack bar in the evenings. He is considering asking for help taking orders, but needs to convince the management that they should hire another student. Because he is taking a simulation class, he thinks it may be the perfect way to convince management to hire more help if he can show that customers have to wait a long time. When a customer arrives, he takes their order and their payment, prepares the food, gives it to the customer, and then takes the order from the next person in line. If someone arrives while he's cooking an order, they have to wait until he's completed the current order. He is working on the simulation and a portion is shown below.
-Complete the table and determine the average customer waiting time and the utilization of the cook.
 $$\begin{array} { | c | c | c | c | c | c | c | } 
\hline \begin{array} { c } 
\text { Customer } \
\text { Number }
\end{array} & \begin{array} { c } 
\text { Time of } \
\text { Arrival }
\end{array} & \begin{array} { c } 
\text { Time } \
\text { Order } \
\text { Taken }
\end{array} & \begin{array} { c } 
\text { Order } \
\text { Prep } \
\text { Time }
\end{array} & \begin{array} { c } 
\text { Customer } \
\text { Receives } \
\text { Food }
\end{array} & \begin{array} { c } 
\text { Customer } \
\text { Wait } \
\text { Time }
\end{array} & \begin{array} { c } 
\text { Cook } \
\text { "Idle" } \
\text { TIme }
\end{array} \
\hline 1 & 2 & 2 & 4 & 6 & 0 & 2 \
\hline 2 & 14 & 14 & 7 & & & \
\hline 3 & 19 & & 6 & & & \
\hline 4 & 28 & & 8 & & & \
\hline 5 & 33 & & 4 & & & \
\hline
\end{array}$$ 
Complete the table and determine the average customer waiting time and the utilization of the cook.

Accepted Answer

@#IMG-DLM& Average customer wa

Question 9

________ is not part of a Monte Carlo simulation.

Accepted Answer

A)  Analyzing results 
B)  Analyzing a real problem 
C)  Finding an optimal solution 
D)  Evaluating the results 
A)  Analyzing results 
B)  Analyzing a real problem 
C)  Finding an optimal solution 
D)  Evaluating the results

Question 10

Random numbers are equally likely to occur.

Accepted Answer

A) True 
 B)False

Question 11

Monte Carlo is a technique for selecting numbers randomly from a probability distribution.

Accepted Answer

A) True 
 B)False

Question 12

Cumulative probabilities are analogous to the discrete ranges of random numbers used in the Monte Carlo process.

Accepted Answer

A) True 
 B)False

Question 13

After plowing through contracts for a decade, the contract writer knew about how long it took to crank out the material necessary to satisfy a contract's requirements. The distribution could be modeled using the data provided in this table.
 $$\begin{array} { | c | c | } 
\hline \begin{array} { c } 
\text { Number of } \
\text { Weeks }
\end{array} & \begin{array} { c } 
\text { Random } \
\text { Number Range }
\end{array} \
\hline 2 & 0 - 5 \
\hline 3 & 6 - 15 \
\hline 4 & 16 - 35 \
\hline 5 & 36 - 80 \
\hline 6 & 81 - 99 \
\hline
\end{array}$$
-If each contract is worth $5000 but it costs $300 per week to work on a contract, what is the profit resulting from a simulation drawing of the numbers 72, 36, 8, 71, and 94 to represent contract durations?

Accepted Answer

The total expenses a

Question 14

After plowing through contracts for a decade, the contract writer knew about how long it took to crank out the material necessary to satisfy a contract's requirements. The distribution could be modeled using the data provided in this table.
 $$\begin{array} { | c | c | } 
\hline \begin{array} { c } 
\text { Number of } \
\text { Weeks }
\end{array} & \begin{array} { c } 
\text { Random } \
\text { Number Range }
\end{array} \
\hline 2 & 0 - 5 \
\hline 3 & 6 - 15 \
\hline 4 & 16 - 35 \
\hline 5 & 36 - 80 \
\hline 6 & 81 - 99 \
\hline
\end{array}$$
-If each contract is worth $4000 but it costs $200 per week to work on a contract, what is the profit resulting from a simulation drawing of the numbers 72, 36, 8, 71, and 94?

Accepted Answer

$15,200 is the profi

Question 15

Which of the following would not be considered a limitation of simulation modeling?

Accepted Answer

A)  Models are typically unstructured. 
B)  Validation of simulation models can be difficult. 
C)  The cost of building simulation can be prohibitive. 
D)  Simulation allows flexibility in analyzing systems. 
A)  Models are typically unstructured. 
B)  Validation of simulation models can be difficult. 
C)  The cost of building simulation can be prohibitive. 
D)  Simulation allows flexibility in analyzing systems.

Question 16

A seed value is a(n)

Accepted Answer

A)  steady state solution of a simulation experiment. 
B)  number used to start a stream of random numbers. 
C)  first run of a simulation model. 
D)  analytic solution of a simulation experiment. 
A)  steady state solution of a simulation experiment. 
B)  number used to start a stream of random numbers. 
C)  first run of a simulation model. 
D)  analytic solution of a simulation experiment.

Question 17

The drying rate in an industrial process is dependent on many factors and varies according to the following distribution.
 $$\begin{array}{l}
\begin{array} { c c }
&\text { Relative }\ 
\text { Minutes } & \text { Frequency } \
\hline 3 & 0.22 \
4 & 0.36 \
5 & 0.28 \
6 & 0.10 \
7 & 0.04
\end{array}
\end{array}$$
-Determine the drying time for these 5 random numbers: 0.53, 0.95, 0.97, 0.96, and 0.07.

Accepted Answer

The answer of The drying rate in an industrial process...

Question 18

Random numbers generated by a ________ process instead of a ________ process are pseudorandom numbers.

Accepted Answer

A)  physical, physical 
B)  physical, mathematical 
C)  mathematical, physical 
D)  mathematical, mathematical 
A)  physical, physical 
B)  physical, mathematical 
C)  mathematical, physical 
D)  mathematical, mathematical

Question 19

The ________ process is analogous to gambling devices.

Accepted Answer

A)  Simulation 
B)  Monte Carlo 
C)  Monaco 
D)  none of the above 
A)  Simulation 
B)  Monte Carlo 
C)  Monaco 
D)  none of the above

Question 20

Consider the following frequency of demand and random numbers:
 $$\begin{array}{l}
\begin{array} { c c } 
&\text { Relative }\
\text { Demand } & \text { Frequency } \
\hline 0 & 0.15 \
1 & 0.30 \
2 & 0.25 \
3 & 0.15 \
4 & 0.15
\end{array}
\end{array}$$ Random numbers: 0.13, 0.81, 0.53.
-If the simulation begins with the third random number, the simulated value for demand would be:

Accepted Answer

A)  0 
B)  1 
C)  2 
D)  3 
E)  4 
A)  0 
B)  1 
C)  2 
D)  3 
E)  4

________ is a technique for selecting numbers randomly from a probability distribution.

The use of simulation to determine the impact of projects such as nuclear power plants, reservoirs and dams is known as

Consider the following frequency of demand and random numbers: Relative Demand Frequency 0 0.15 1 0.30 2 0.25 3 0.15 4 0.15 Random numbers: 0.13, 0.81, 0.53. -If the simulation begins with the first random number, the simulated value for demand would be:

A limitation of simulation is that

Developing the ________ probability distribution helps to determine random number ranges.

________ is not part of a Monte Carlo simulation.

Random numbers are equally likely to occur.

Monte Carlo is a technique for selecting numbers randomly from a probability distribution.

Cumulative probabilities are analogous to the discrete ranges of random numbers used in the Monte Carlo process.

Which of the following would not be considered a limitation of simulation modeling?

A seed value is a(n)

The drying rate in an industrial process is dependent on many factors and varies according to the following distribution. Relative Minutes Frequency 3 0.22 4 0.36 5 0.28 6 0.10 7 0.04 -Determine the drying time for these 5 random numbers: 0.53, 0.95, 0.97, 0.96, and 0.07.

Random numbers generated by a process instead of a process are pseudorandom numbers.

The ________ process is analogous to gambling devices.

Consider the following frequency of demand and random numbers: Relative Demand Frequency 0 0.15 1 0.30 2 0.25 3 0.15 4 0.15 Random numbers: 0.13, 0.81, 0.53. -If the simulation begins with the third random number, the simulated value for demand would be:

Management Science

Linear Programming: Model Formulation and Graphical Solution

Linear Programming: Computer Solution and Sensitivity Analysis

Linear Programming: Modeling Examples

Integer Programming

Transportation, Transshipment, and Assignment Problems

Network Flow Models

Project Management

Multicriteria Decision Making

Nonlinear Programming

Probability and Statistics

Decision Analysis

Queuing Analysis

Forecasting

Inventory Management

the Simplex Solution Method

Transportation and Assignment Solution Methods

Integer Programming: the Branch and Bound Method

Nonlinear Programming: Solution Techniques

Game Theory

Markov Analysis

Filters

Exam 14: Simulation

________ is a technique for selecting numbers randomly from a probability distribution.

The use of simulation to determine the impact of projects such as nuclear power plants, reservoirs and dams is known as

Consider the following frequency of demand and random numbers: Relative Demand Frequency 0 0.15 1 0.30 2 0.25 3 0.15 4 0.15 Random numbers: 0.13, 0.81, 0.53. -If the simulation begins with the first random number, the simulated value for demand would be:

A limitation of simulation is that

Developing the ________ probability distribution helps to determine random number ranges.

________ is not part of a Monte Carlo simulation.

Random numbers are equally likely to occur.

Monte Carlo is a technique for selecting numbers randomly from a probability distribution.

Cumulative probabilities are analogous to the discrete ranges of random numbers used in the Monte Carlo process.

Which of the following would not be considered a limitation of simulation modeling?

A seed value is a(n)

The drying rate in an industrial process is dependent on many factors and varies according to the following distribution. Relative Minutes Frequency 3 0.22 4 0.36 5 0.28 6 0.10 7 0.04 -Determine the drying time for these 5 random numbers: 0.53, 0.95, 0.97, 0.96, and 0.07.

Random numbers generated by a ________ process instead of a ________ process are pseudorandom numbers.

The ________ process is analogous to gambling devices.

Consider the following frequency of demand and random numbers: Relative Demand Frequency 0 0.15 1 0.30 2 0.25 3 0.15 4 0.15 Random numbers: 0.13, 0.81, 0.53. -If the simulation begins with the third random number, the simulated value for demand would be:

Management Science

Linear Programming: Model Formulation and Graphical Solution

Linear Programming: Computer Solution and Sensitivity Analysis

Linear Programming: Modeling Examples

Integer Programming

Transportation, Transshipment, and Assignment Problems

Network Flow Models

Project Management

Multicriteria Decision Making

Nonlinear Programming

Probability and Statistics

Decision Analysis

Queuing Analysis

Forecasting

Inventory Management

the Simplex Solution Method

Transportation and Assignment Solution Methods

Integer Programming: the Branch and Bound Method

Nonlinear Programming: Solution Techniques

Game Theory

Markov Analysis

Filters

Random numbers generated by a process instead of a process are pseudorandom numbers.