Question 1

An automatic, one-lane, drive-through car wash is an example of a:

Accepted Answer

A)  single-channel, single-phase arrangement. 
B)  single-channel, multiple-phase arrangement. 
C)  multiple-channel, single-phase arrangement. 
D)  multiple-channel, multiple-phase arrangement. 
A)  single-channel, single-phase arrangement. 
B)  single-channel, multiple-phase arrangement. 
C)  multiple-channel, single-phase arrangement. 
D)  multiple-channel, multiple-phase arrangement. A

Question 2

Under the assumptions of waiting line models, it is impossible for management to affect the rate of customer arrivals.

Accepted Answer

A) True 
 B)False  False

Question 3

Scenario B.2
Weary travelers arrive at Will Rogers International Airport, pick up their luggage, stumble to their cars, and proceed to the parking lot attendant to pay for their parking. Traveler interarrival times are exponentially distributed, as are the service times of the attendant. On average, travelers arrive every 25 seconds. The attendant can process three travelers per minute, and processing rates follow a Poisson distribution.
-Use the information in Scenario B.2. What is the average time a customer spends in line?

Accepted Answer

A)  less than or equal to 1.0 minute 
B)  greater than 1.0 but fewer than or equal to 2.0 minutes 
C)  greater than 2.0 but fewer than or equal to 3.0 minutes 
D)  greater than 3.0 minutes 
A)  less than or equal to 1.0 minute 
B)  greater than 1.0 but fewer than or equal to 2.0 minutes 
C)  greater than 2.0 but fewer than or equal to 3.0 minutes 
D)  greater than 3.0 minutes B

Question 4

With a finite-source model, increasing the arrival rate by 10 percent and also increasing the service rate by 10 percent will result in a(n):

Accepted Answer

A)  increase in the utilization of the server. 
B)  increase in the average number of customers in the service system. 
C)  decrease in the average time spent in the system, including service. 
D)  increase in the waiting time in line. 
A)  increase in the utilization of the server. 
B)  increase in the average number of customers in the service system. 
C)  decrease in the average time spent in the system, including service. 
D)  increase in the waiting time in line.

Question 5

What are the assumptions of the exponential distribution applied to the single server queuing situation? Provide examples of when these assumptions might be violated.

Accepted Answer

The assumptions are that each

Question 6

Customers arrive according to a Poisson distribution. The average number of customer arrivals per hour is six. The probability that four customers will arrive in the next three hours is:

Accepted Answer

A)  less than or equal to 0.01. 
B)  greater than 0.01 but less than or equal to 0.02. 
C)  greater than 0.02 but less than or equal to 0.03. 
D)  greater than 0.03. 
A)  less than or equal to 0.01. 
B)  greater than 0.01 but less than or equal to 0.02. 
C)  greater than 0.02 but less than or equal to 0.03. 
D)  greater than 0.03.

Question 7

Customers arrive according to a Poisson distribution. The average number of customer arrivals per hour is four. The probability that three customers will arrive in the next two hours is:

Accepted Answer

A)  less than or equal to 0.015. 
B)  greater than 0.015 but less than or equal to 0.020. 
C)  greater than 0.020 but less than or equal to 0.025. 
D)  greater than 0.025. 
A)  less than or equal to 0.015. 
B)  greater than 0.015 but less than or equal to 0.020. 
C)  greater than 0.020 but less than or equal to 0.025. 
D)  greater than 0.025.

Question 8

Twelve customers arrive at the lunch counter at George's Happy Hog per hour and select the hickory smoked meat du jour along with a side and soda for $5. The server doubles as the cashier and can take and fill an order in three minutes on average. What is the lowest number n such that the likelihood of n or more customers in line and receiving service is 0? Assume that the arrival and service times can be assumed as exponentially distributed.

Accepted Answer

A)  one 
B)  two 
C)  three 
D)  four 
A)  one 
B)  two 
C)  three 
D)  four

Question 9

The single, multiple, and finite waiting line models all assume that the:

Accepted Answer

A)  arrival rate exceeds the service rate. 
B)  number of servers exceeds the number of customers. 
C)  number of customers exceeds the number of servers. 
D)  customers are patient. 
A)  arrival rate exceeds the service rate. 
B)  number of servers exceeds the number of customers. 
C)  number of customers exceeds the number of servers. 
D)  customers are patient.

Question 10

A ________ is one or more facilities required to perform a given service.

Accepted Answer

The answer of A ________ is one or more facilities...

Question 11

In the single-server model, the:

Accepted Answer

A)  service time of a customer is most often described by an exponential distribution. 
B)  service time depends on the number of customers in the system as long as there is at least one customer in the waiting line. 
C)  mean of the service-time distribution must be as great as the target service time for a feasible solution. 
D)  service times are always constant to avoid large waiting lines. 
A)  service time of a customer is most often described by an exponential distribution. 
B)  service time depends on the number of customers in the system as long as there is at least one customer in the waiting line. 
C)  mean of the service-time distribution must be as great as the target service time for a feasible solution. 
D)  service times are always constant to avoid large waiting lines.

Question 12

With a multiple-server model, increasing the arrival rate by 10 percent and also increasing the service rate of each server by 10 percent will result in:

Accepted Answer

A)  a decrease in the utilization of the system. 
B)  no change in the average number of customers in the waiting line. 
C)  a decrease in the average number of customers in the waiting line. 
D)  an increase in the waiting time in line. 
A)  a decrease in the utilization of the system. 
B)  no change in the average number of customers in the waiting line. 
C)  a decrease in the average number of customers in the waiting line. 
D)  an increase in the waiting time in line.

Question 13

Customer arrival rates vary throughout the day and the priority rules change depending on the customer mix and influence each has over the finances of the firm. Such a situation is best analyzed using simulation rather than one of the queuing formulas.

Accepted Answer

A) True 
 B)False

Question 14

The owner of a desktop publishing company exclusively caters to seven loyal clients who periodically require his services. The owner has:

Accepted Answer

A)  an infinite customer population of patient customers. 
B)  an infinite population of impatient customers. 
C)  a finite customer population. 
D)  a finite customer population with balking customers. 
A)  an infinite customer population of patient customers. 
B)  an infinite population of impatient customers. 
C)  a finite customer population. 
D)  a finite customer population with balking customers.

Question 15

Comment on the tension between cost management and customer satisfaction management in a call center situation.

Accepted Answer

Cost control in a call center situation

Question 16

Customers are serviced at a rate of 10 customers per hour according to an exponential distribution. What is the probability that customer service will require fewer than two minutes?

Accepted Answer

A)  less than or equal to 0.25 
B)  greater than 0.25 but less than or equal to 0.30 
C)  greater than 0.30 but less than or equal to 0.35 
D)  greater than 0.35 
A)  less than or equal to 0.25 
B)  greater than 0.25 but less than or equal to 0.30 
C)  greater than 0.30 but less than or equal to 0.35 
D)  greater than 0.35

Question 17

Scenario B.2
Weary travelers arrive at Will Rogers International Airport, pick up their luggage, stumble to their cars, and proceed to the parking lot attendant to pay for their parking. Traveler interarrival times are exponentially distributed, as are the service times of the attendant. On average, travelers arrive every 25 seconds. The attendant can process three travelers per minute, and processing rates follow a Poisson distribution.
-Use the information in Scenario B.2. What is the average number of customers in line?

Accepted Answer

A)  fewer than or equal to 1.0 
B)  greater than 1.0 but fewer than or equal to 2.0 
C)  greater than 2.0 but fewer than or equal to 3.0 
D)  greater than 3.0 
A)  fewer than or equal to 1.0 
B)  greater than 1.0 but fewer than or equal to 2.0 
C)  greater than 2.0 but fewer than or equal to 3.0 
D)  greater than 3.0

Question 18

Scenario B.4
Customers arrive at an airline ticket counter at the rate of 50 customers per hour, according to a Poisson distribution. There are three ticket agents. Customers select the first available agent from one line. Each agent can process 20 customers per hour with exponential service times.
-Use the information in Scenario B.4. What is the average utilization of the three-agent system?

Accepted Answer

A)  less than or equal to 80 percent 
B)  greater than 80 percent but less than or equal to 85 percent 
C)  greater than 85 percent but less than or equal to 90 percent 
D)  greater than 90 percent 
A)  less than or equal to 80 percent 
B)  greater than 80 percent but less than or equal to 85 percent 
C)  greater than 85 percent but less than or equal to 90 percent 
D)  greater than 90 percent

Question 19

A(n) ________ selects the next customer to be served at the service facility.

Accepted Answer

The answer of A(n) ________ selects the next customer to...

Question 20

The average lead time of a unit of product through a manufacturing station is 10 minutes. The production rate has been steady at five units per hour. The average work-in-process inventory at this station is:

Accepted Answer

A)  50 units. 
B)  10 units. 
C)  5 units. 
D)  0.83 units. 
A)  50 units. 
B)  10 units. 
C)  5 units. 
D)  0.83 units.

Exam 19: Supplement B Waiting Lines

An automatic, one-lane, drive-through car wash is an example of a:

Under the assumptions of waiting line models, it is impossible for management to affect the rate of customer arrivals.

With a finite-source model, increasing the arrival rate by 10 percent and also increasing the service rate by 10 percent will result in a(n):

What are the assumptions of the exponential distribution applied to the single server queuing situation? Provide examples of when these assumptions might be violated.

Customers arrive according to a Poisson distribution. The average number of customer arrivals per hour is six. The probability that four customers will arrive in the next three hours is:

Customers arrive according to a Poisson distribution. The average number of customer arrivals per hour is four. The probability that three customers will arrive in the next two hours is:

The single, multiple, and finite waiting line models all assume that the:

A ________ is one or more facilities required to perform a given service.

In the single-server model, the:

With a multiple-server model, increasing the arrival rate by 10 percent and also increasing the service rate of each server by 10 percent will result in:

Customer arrival rates vary throughout the day and the priority rules change depending on the customer mix and influence each has over the finances of the firm. Such a situation is best analyzed using simulation rather than one of the queuing formulas.

The owner of a desktop publishing company exclusively caters to seven loyal clients who periodically require his services. The owner has:

Comment on the tension between cost management and customer satisfaction management in a call center situation.

Customers are serviced at a rate of 10 customers per hour according to an exponential distribution. What is the probability that customer service will require fewer than two minutes?

A(n) ________ selects the next customer to be served at the service facility.

The average lead time of a unit of product through a manufacturing station is 10 minutes. The production rate has been steady at five units per hour. The average work-in-process inventory at this station is:

Using Operations to Create Value

Process Strategy and Analysis

Quality and Performance

Capacity Planning

Constraint Management

Lean Systems

Project Management

Forecasting

Inventory Management

Operations Planning and Scheduling

Resource Planning

Supply Chain Design

Supply Chain Logistic Networks

Supply Chain Integration

Supply Chain Sustainability

Supplement A Decision Making

Supplement J Operations Scheduling

Supplement K Layout

Supplement C Special Inventory Models

Supplement D Linear Programming

Supplement E Simulation

Supplement F Financial Analysis

Supplement G Acceptance Sampling Plans

Supplement H Measuring Output Rates

Supplement I Learning Curve Analysis

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