Question 1

Cars arriving at a highway tollbooth would be an example of a limited (finite)population.

Accepted Answer

A) True 
 B)False

Question 2

Use this information to answer the following questions.
 $$\begin{array} { l | c } 
\hline \text { Number of Servers } & 1.0 \
\text { Arrival Rate } & 8.00 \
\text { Service Rate } & 10.00 \
\text { Standard deviation of servicetime } & 0.09 \
\hline
\end{array}$$
-Refer to the table.What is the average number of customers in the queue plus the number being served?

Accepted Answer

A) 0.12 
B) 1.76 
C) 2.12 
D) 2.90 
E) 3.30 
A) 0.12 
B) 1.76 
C) 2.12 
D) 2.90 
E) 3.30

Question 3

A beauty salon employs three hairdressers.All customers get their hair washed in one area of the salon before being taken to another area to get their hair cut.Customer arrival rate and service time follows the Poisson and exponential distributions,respectively.What is the Kendall notation for this system?

Accepted Answer

A) M/M/1 
B) D/M/3 
C) M/D/3 
D) M/G/3 
E) M/M/3 
A) M/M/1 
B) D/M/3 
C) M/D/3 
D) M/G/3 
E) M/M/3

Question 4

One of the M/M/1 queuing model assumptions is that the average number of arrivals (the arrival rate)does not change over time.

Accepted Answer

A) True 
 B)False

Question 5

A multiphase queuing system is one in which service is received from more than one station,one after the other.

Accepted Answer

A) True 
 B)False

Question 6

Use this information to answer the following questions.
 $\begin{array}{l|c}
\text { Number of Servers } & 1.0 \
\text { Arrival Rate } & 7.00 \
\text { Service Rate } & 10.00 \
\mathrm{P}(0) \text {, probability that there are no customers in the system } & 30 \% \
\mathrm{Lq} \text {, average length of the queue } & 1.63 \
\mathrm{~W} \text {, average time in the system } & 0.33 \
\mathrm{~L} \text {, average number of customers in the system } & 2.33 \
\mathrm{Wq}, \text { average time in the queue } & 0.23 \
\text { Utilization factor of the system } & 70 \% \
\hline
\end{array}$

-Refer to the table.What percent of the time is the server busy?

Accepted Answer

A) 10% 
B) 33% 
C) 23% 
D) 70% 
E) 30% 
A) 10% 
B) 33% 
C) 23% 
D) 70% 
E) 30%

Question 7

The Exponential distribution is used in many queuing models to represent service time patterns.

Accepted Answer

A) True 
 B)False

Cars arriving at a highway tollbooth would be an example of a limited (finite)population.

Use this information to answer the following questions. Number of Servers 1.0 Arrival Rate 8.00 Service Rate 10.00 Standard deviation of servicetime 0.09 -Refer to the table.What is the average number of customers in the queue plus the number being served?

One of the M/M/1 queuing model assumptions is that the average number of arrivals (the arrival rate)does not change over time.

A multiphase queuing system is one in which service is received from more than one station,one after the other.

The Exponential distribution is used in many queuing models to represent service time patterns.

Introduction to Managerial Decision Making

Linear Programming Models: Graphical and Computer Methods

Linear Programming Modeling Applications with Computer Analyses in Excel

Linear Programming Sensitivity Analysis

Transportation, Assignment, and Network Models

Integer, Goal, and Nonlinear Programming Models

Project Management

Decision Analysis

Simulation Modeling

Forecasting Models

Inventory Control Models

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Exam 9: Queuing Models

Cars arriving at a highway tollbooth would be an example of a limited (finite)population.

Use this information to answer the following questions. Number of Servers 1.0 Arrival Rate 8.00 Service Rate 10.00 Standard deviation of servicetime 0.09 -Refer to the table.What is the average number of customers in the queue plus the number being served?

One of the M/M/1 queuing model assumptions is that the average number of arrivals (the arrival rate)does not change over time.

A multiphase queuing system is one in which service is received from more than one station,one after the other.

The Exponential distribution is used in many queuing models to represent service time patterns.

Introduction to Managerial Decision Making

Linear Programming Models: Graphical and Computer Methods

Linear Programming Modeling Applications with Computer Analyses in Excel

Linear Programming Sensitivity Analysis

Transportation, Assignment, and Network Models

Integer, Goal, and Nonlinear Programming Models

Project Management

Decision Analysis

Simulation Modeling

Forecasting Models

Inventory Control Models

Filters