Question 1

Queuing models can help explain all but one of the following:

Accepted Answer

A)  predicting results of adding servers to a multiple server system. 
B)  effect of reducing service time variation on waiting time. 
C)  determining the size of a parking lot. 
D)  mean arrival rate. 
A)  predicting results of adding servers to a multiple server system. 
B)  effect of reducing service time variation on waiting time. 
C)  determining the size of a parking lot. 
D)  mean arrival rate. D

Question 2

Simulation allows time compression, doing in seconds what would otherwise require years of actual observation.

Accepted Answer

A) True 
 B)False  True

Question 3

In the A/B/C analytical queuing model classification, M is used to denote:

Accepted Answer

A)  exponential inter-arrival time distribution. 
B)  deterministic inter-arrival time distribution. 
C)  general distribution with mean and variance. 
D)  Erland distribution. 
A)  exponential inter-arrival time distribution. 
B)  deterministic inter-arrival time distribution. 
C)  general distribution with mean and variance. 
D)  Erland distribution. A

Question 4

In the M/M/1 model the calling population is finite.

Accepted Answer

A) True 
 B)False

Question 5

The ___________ queuing model is often used in situations when little if no waiting occurs.

Accepted Answer

A)  M/M/1 
B)  M/M/c 
C)  M/G/1 
D)  M/G/$\infty  $ 
A)  M/M/1 
B)  M/M/c 
C)  M/G/1 
D)  M/G/$\infty  $

Question 6

The A/B/C notation classifies queuing systems on the basis of:

Accepted Answer

A)  arrival rates and queue discipline. 
B)  queue discipline alone. 
C)  arrival rates and service rates. 
D)  arrival rates, service rates, and number of servers. 
A)  arrival rates and queue discipline. 
B)  queue discipline alone. 
C)  arrival rates and service rates. 
D)  arrival rates, service rates, and number of servers.

Question 7

The main advantage of analytical models is that they can be used almost anywhere regardless of the underlying assumptions. They still will provide good results.

Accepted Answer

A) True 
 B)False

Question 8

Pooling of services is an approach toward achieving economies of scale in services through better utilization of services.

Accepted Answer

A) True 
 B)False

Question 9

Capacity planning decisions deal implicitly with decisions on the cost of making consumers wait and the extent to which these costs can be borne.

Accepted Answer

A) True 
 B)False

Question 10

Excess capacity is required in a service system because variability in customer arrivals and service times creates idle capacity.

Accepted Answer

A) True 
 B)False

Question 11

A queue is said to be finite if there is an upper limit on the number of consumers who are allowed to be in it. Consumers who come after the queue is full, either balk or are refused entrance.

Accepted Answer

A) True 
 B)False

Question 12

Service capacity decisions have all but one of the following strategic characteristics:

Accepted Answer

A)  the decision to invest in capacity will attract competitors. 
B)  financial investment in capacity must be balanced against the costs of lost sales. 
C)  inadequate short-term capacity needs can generate customers for the competition. 
D)  hostile customers can result from inadequate capacity following a marketing campaign. 
A)  the decision to invest in capacity will attract competitors. 
B)  financial investment in capacity must be balanced against the costs of lost sales. 
C)  inadequate short-term capacity needs can generate customers for the competition. 
D)  hostile customers can result from inadequate capacity following a marketing campaign.

Question 13

For a system to reach steady state, the arrival rate must always be greater than the service rate, i.e., the traffic intensity SYMBOL 114 \f "Symbol" must always be greater than unity.

Accepted Answer

A) True 
 B)False

Question 14

A Poisson process describing the distribution of departures from a busy server with an average rate of 15 per hour is equivalent to the negative exponential distribution of service times with a mean of 5 minutes.

Accepted Answer

A) True 
 B)False

Question 15

Which one of the following is not part of the queuing system features?

Accepted Answer

A)  calling population 
B)  queue configuration 
C)  queue discipline 
D)  departure process 
A)  calling population 
B)  queue configuration 
C)  queue discipline 
D)  departure process

Question 16

In the A/B/C classification of analytical queuing models, the term G refers to a general distribution with mean and variance.

Accepted Answer

A) True 
 B)False

Question 17

Simulation can be viewed as a laboratory for experimenting with service systems.

Accepted Answer

A) True 
 B)False

Question 18

Pseudo-random numbers do not permit an exact replication of experimental conditions. 
Multiple Choice

Accepted Answer

A) True 
 B)False

Question 19

When Xerox Corporation introduced the Model 9200 Duplicating System, the level of service dipped because technical representatives were assigned to territories.

Accepted Answer

A) True 
 B)False

Question 20

Pooling of servers results in reduced waiting time because:

Accepted Answer

A)  the mean service time for the pool as a whole is now constant. 
B)  servers are utilized better. 
C)  multiple queues are replaced by a single queue. 
D)  alternatives (a) and (b) above. 
A)  the mean service time for the pool as a whole is now constant. 
B)  servers are utilized better. 
C)  multiple queues are replaced by a single queue. 
D)  alternatives (a) and (b) above.

Queuing models can help explain all but one of the following:

Simulation allows time compression, doing in seconds what would otherwise require years of actual observation.

In the A/B/C analytical queuing model classification, M is used to denote:

In the M/M/1 model the calling population is finite.

The ___________ queuing model is often used in situations when little if no waiting occurs.

The A/B/C notation classifies queuing systems on the basis of:

The main advantage of analytical models is that they can be used almost anywhere regardless of the underlying assumptions. They still will provide good results.

Pooling of services is an approach toward achieving economies of scale in services through better utilization of services.

Capacity planning decisions deal implicitly with decisions on the cost of making consumers wait and the extent to which these costs can be borne.

Excess capacity is required in a service system because variability in customer arrivals and service times creates idle capacity.

A queue is said to be finite if there is an upper limit on the number of consumers who are allowed to be in it. Consumers who come after the queue is full, either balk or are refused entrance.

Service capacity decisions have all but one of the following strategic characteristics:

For a system to reach steady state, the arrival rate must always be greater than the service rate, i.e., the traffic intensity SYMBOL 114 \f "Symbol" must always be greater than unity.

A Poisson process describing the distribution of departures from a busy server with an average rate of 15 per hour is equivalent to the negative exponential distribution of service times with a mean of 5 minutes.

Which one of the following is not part of the queuing system features?

In the A/B/C classification of analytical queuing models, the term G refers to a general distribution with mean and variance.

Simulation can be viewed as a laboratory for experimenting with service systems.

Pseudo-random numbers do not permit an exact replication of experimental conditions. Multiple Choice

When Xerox Corporation introduced the Model 9200 Duplicating System, the level of service dipped because technical representatives were assigned to territories.

Pooling of servers results in reduced waiting time because:

The Service Economy

Service Strategy

The Service Encounter

Supporting Facility and Process Flows

Service Quality

Process Improvement

Service Facility Location

Service Supply Relationships

Globalization of Services

Managing Capacity and Demand

Managing Waiting Lines

Forecasting Demand for Services

Managing Service Inventory

Managing Service Projects

Filters

Exam 13: Capacity Planning and Queuing Models

Queuing models can help explain all but one of the following:

Simulation allows time compression, doing in seconds what would otherwise require years of actual observation.

In the A/B/C analytical queuing model classification, M is used to denote:

In the M/M/1 model the calling population is finite.

The ___________ queuing model is often used in situations when little if no waiting occurs.

The A/B/C notation classifies queuing systems on the basis of:

The main advantage of analytical models is that they can be used almost anywhere regardless of the underlying assumptions. They still will provide good results.

Pooling of services is an approach toward achieving economies of scale in services through better utilization of services.

Capacity planning decisions deal implicitly with decisions on the cost of making consumers wait and the extent to which these costs can be borne.

Excess capacity is required in a service system because variability in customer arrivals and service times creates idle capacity.

A queue is said to be finite if there is an upper limit on the number of consumers who are allowed to be in it. Consumers who come after the queue is full, either balk or are refused entrance.

Service capacity decisions have all but one of the following strategic characteristics:

For a system to reach steady state, the arrival rate must always be greater than the service rate, i.e., the traffic intensity SYMBOL 114 \f "Symbol" must always be greater than unity.

A Poisson process describing the distribution of departures from a busy server with an average rate of 15 per hour is equivalent to the negative exponential distribution of service times with a mean of 5 minutes.

Which one of the following is not part of the queuing system features?

In the A/B/C classification of analytical queuing models, the term G refers to a general distribution with mean and variance.

Simulation can be viewed as a laboratory for experimenting with service systems.

Pseudo-random numbers do not permit an exact replication of experimental conditions. Multiple Choice

When Xerox Corporation introduced the Model 9200 Duplicating System, the level of service dipped because technical representatives were assigned to territories.

Pooling of servers results in reduced waiting time because:

The Service Economy

Service Strategy

The Service Encounter

Supporting Facility and Process Flows

Service Quality

Process Improvement

Service Facility Location

Service Supply Relationships

Globalization of Services

Managing Capacity and Demand

Managing Waiting Lines

Forecasting Demand for Services

Managing Service Inventory

Managing Service Projects

Filters