Question 1

To reduce the average number waiting in line, it is important to increase utilization.

Accepted Answer

A) True 
 B)False

Question 2

A single-phase queuing system is one which has a single:

Accepted Answer

A)  channel. 
B)  server. 
C)  customer being served. 
D)  operation. 
E)  waiting line. 
A)  channel. 
B)  server. 
C)  customer being served. 
D)  operation. 
E)  waiting line.

Question 3

Consider these data regarding the multiple-server, priority service queuing model: $$\begin{array} { l l } 
\text { Priority } & \text { Average Arrival Rate } \
\hline \text { High } & 3 \text { per hour (Poisson) } \
\text { Low } & 5 \text { per hour (Poisson) }
\end{array}$$ Service Rate: 2 per hour (Poisson)
Number of Servers: 5
What is the overall average arrival rate?

Accepted Answer

The answer of Consider these data regarding the multiple-server, priority...

Question 4

Consider these data regarding the multiple-server, priority service queuing model: $$\begin{array} { l l } 
\text { Priority } & \text { Average Arrival Rate } \
  \hline \text { High } & 3 \text { per hour (Poisson) } \
\text { Low } & 5 \text { per hour (Poisson) }
\end{array}$$ Service Rate: 2 per hour (Poisson)
Number of Servers: 5
What is the average time in the system for a high-priority item?

Accepted Answer

The answer of Consider these data regarding the multiple-server, priority...

Question 5

In a _______ system, customers enter the waiting line, receive service, and leave.

Accepted Answer

A)  fast-track 
B)  simulated 
C)  queuing 
D)  random 
E)  nonrandom 
A)  fast-track 
B)  simulated 
C)  queuing 
D)  random 
E)  nonrandom

Question 6

Which of the following would tend to increase the difference between the actual time customers spent waiting and the perceived time spent waiting by those customers?
(I) Lots of experience with the service on the part of customers
(II) Anxiety on the part of customers
(III) A pleasant physical environment for the customers

Accepted Answer

A)  I and II only 
B)  I only 
C)  II only 
D)  III only 
E)  I, II, and III 
A)  I and II only 
B)  I only 
C)  II only 
D)  III only 
E)  I, II, and III

Question 7

The most commonly used queuing models assume that the arrival rate can be described by a Poisson distribution.

Accepted Answer

A) True 
 B)False

Question 8

The queuing models discussed in the text apply only to steady-state conditions. Steady state exists only when customers arrive at a steady rate; that is, without any variability.

Accepted Answer

A) True 
 B)False

Question 9

A bank of 10 machines requires regular periodic service. Machine running time and service time are both exponential. Machines run for an average of 44 minutes between service requirements, and service time averages six minutes per machine. If operators cost $15 per hour in wages and fringe benefits and machine downtime costs $75 per hour in lost production, what is the optimal number of operators for this bank of machines?

Accepted Answer

A)  1 
B)  2 
C)  3 
D)  4 
E)  5 
A)  1 
B)  2 
C)  3 
D)  4 
E)  5

Question 10

A restaurant at a popular Colorado casino provides priority service to player's card holders. The restaurant has 10 tables or booths where customers may be seated. The service time (time a booth or table is occupied) averages 40 minutes once a party is seated. The customer arrival rate is 12 parties per hour, with the parties being equally divided between card holders and people without player's cards. On average, how many parties with player's cards are waiting to be seated?

Accepted Answer

A)  0.52 
B)  0.41 
C)  0.88 
D)  1.23 
E)  1.75 
A)  0.52 
B)  0.41 
C)  0.88 
D)  1.23 
E)  1.75

Question 11

A department has five machines that each run for an average of 8.4 hours (exponential) before service is required. Service time average is 1.6 hours (exponential).
(A) While running, each machine can produce 120 pieces per hour. With one server, what is the average hourly output actually achieved?
(B) With two servers, what is the probability that a machine would be served immediately when it requires service?
(C) If machine downtime cost is $100 per hour per machine, and server time costs $30 per hour, how many servers would be optimal?

Accepted Answer

@#LAT-DLM& \[\begin{array} { l c c } 
\mathrm { M

Question 12

A bank is designing a new branch office and needs to determine how much driveway space to allow for cars waiting for drive-up teller service. The drive-up service will have three tellers and a single waiting line. At another branch of the bank in a similar setting, the average service time for drive-up tellers is four minutes per customer, and average arrival rate is 36 customers per hour. It is expected that the new bank will have similar characteristics. How many spaces should be provided to have a 96 percent probability of accommodating all of the waiting cars?

Accepted Answer

A)  10 
B)  11 
C)  12 
D)  13 
E)  14 
A)  10 
B)  11 
C)  12 
D)  13 
E)  14

Question 13

An approach to reducing the variability in processing times might include greater standardization.

Accepted Answer

A) True 
 B)False

Question 14

When the waiting cost incurred by customers likely varies, an appropriate queuing model is:

Accepted Answer

A)  single channel, single phase. 
B)  single channel, multiple phase. 
C)  multiple channel, single priority. 
D)  multiple channel, multiple phase. 
E)  multiple channel, multiple priority. 
A)  single channel, single phase. 
B)  single channel, multiple phase. 
C)  multiple channel, single priority. 
D)  multiple channel, multiple phase. 
E)  multiple channel, multiple priority.

Question 15

Little's law states that the number of people in a waiting line is the average customer arrival rate multiplied by the:

Accepted Answer

A)  average time in the system. 
B)  average waiting time. 
C)  service time minus the waiting time. 
D)  average number in line. 
E)  waiting time. 
A)  average time in the system. 
B)  average waiting time. 
C)  service time minus the waiting time. 
D)  average number in line. 
E)  waiting time.

Question 16

Which of the following would reduce perceived waiting times most dramatically in a doctor's office?

Accepted Answer

A)  putting all clocks out of sight 
B)  removing couches 
C)  having the patient fill out forms 
D)  implementing a "no-cell-phone" policy 
E)  keeping expected waiting times from the patients 
A)  putting all clocks out of sight 
B)  removing couches 
C)  having the patient fill out forms 
D)  implementing a "no-cell-phone" policy 
E)  keeping expected waiting times from the patients

Question 17

The cost of customer waiting is easy to estimate, the number waiting multiplied by the wait cost per minute.

Accepted Answer

A) True 
 B)False

Question 18

For a system that has a low utilization ratio, decreasing service capacity slightly will have only negligible effect on customer waiting time.

Accepted Answer

A) True 
 B)False

Question 19

A multiple-channel system assumes that each server will have its own waiting line, and line changing is not permitted.

Accepted Answer

A) True 
 B)False

Question 20

Consider these data regarding the multiple-server, priority service queuing model: $$\begin{array} { l l } 
\text { Priority } & \text { Average Arrival Rate } \
\hline \text { High } & 3 \text { per hour (Poisson) } \
\text { Low } & 5 \text { per hour (Poisson) }
\end{array}$$ Service Rate: 2 per hour (Poisson)
Number of Servers: 5
What is the average time in the system for a low-priority item?

Accepted Answer

The answer of Consider these data regarding the multiple-server, priority...

To reduce the average number waiting in line, it is important to increase utilization.

A single-phase queuing system is one which has a single:

Consider these data regarding the multiple-server, priority service queuing model: Priority Average Arrival Rate High 3 per hour (Poisson) Low 5 per hour (Poisson) Service Rate: 2 per hour (Poisson) Number of Servers: 5 What is the overall average arrival rate?

Consider these data regarding the multiple-server, priority service queuing model: Priority Average Arrival Rate High 3 per hour (Poisson) Low 5 per hour (Poisson) Service Rate: 2 per hour (Poisson) Number of Servers: 5 What is the average time in the system for a high-priority item?

In a _______ system, customers enter the waiting line, receive service, and leave.

The most commonly used queuing models assume that the arrival rate can be described by a Poisson distribution.

The queuing models discussed in the text apply only to steady-state conditions. Steady state exists only when customers arrive at a steady rate; that is, without any variability.

An approach to reducing the variability in processing times might include greater standardization.

When the waiting cost incurred by customers likely varies, an appropriate queuing model is:

Little's law states that the number of people in a waiting line is the average customer arrival rate multiplied by the:

Which of the following would reduce perceived waiting times most dramatically in a doctor's office?

The cost of customer waiting is easy to estimate, the number waiting multiplied by the wait cost per minute.

For a system that has a low utilization ratio, decreasing service capacity slightly will have only negligible effect on customer waiting time.

A multiple-channel system assumes that each server will have its own waiting line, and line changing is not permitted.

Consider these data regarding the multiple-server, priority service queuing model: Priority Average Arrival Rate High 3 per hour (Poisson) Low 5 per hour (Poisson) Service Rate: 2 per hour (Poisson) Number of Servers: 5 What is the average time in the system for a low-priority item?

Introduction to Operations Management

Competitiveness, Strategy, and Productivity

Forecasting

Product and Service Design

Extension: Reliability

Strategic Capacity Planning for Products and Services

Extension: Decision Theory

Process Selection and Facility Layout

Work Design and Measurement

Extension: Learning Curves

Location Planning and Analysis

Extension: The Transportation Model

Management of Quality

Quality Control

Extension: Acceptance Sampling

Aggregate Planning and Master Scheduling

MRP and ERP

Inventory Management

Jit and Lean Operations

Extension: Maintenance

Supply Chain Management

Scheduling

Project Management

Linear Programming

Filters

Exam 18: Management of Waiting Lines

To reduce the average number waiting in line, it is important to increase utilization.

A single-phase queuing system is one which has a single:

Consider these data regarding the multiple-server, priority service queuing model: Priority Average Arrival Rate High 3 per hour (Poisson) Low 5 per hour (Poisson) Service Rate: 2 per hour (Poisson) Number of Servers: 5 What is the overall average arrival rate?

Consider these data regarding the multiple-server, priority service queuing model: Priority Average Arrival Rate High 3 per hour (Poisson) Low 5 per hour (Poisson) Service Rate: 2 per hour (Poisson) Number of Servers: 5 What is the average time in the system for a high-priority item?

In a _______ system, customers enter the waiting line, receive service, and leave.

The most commonly used queuing models assume that the arrival rate can be described by a Poisson distribution.

The queuing models discussed in the text apply only to steady-state conditions. Steady state exists only when customers arrive at a steady rate; that is, without any variability.

An approach to reducing the variability in processing times might include greater standardization.

When the waiting cost incurred by customers likely varies, an appropriate queuing model is:

Little's law states that the number of people in a waiting line is the average customer arrival rate multiplied by the:

Which of the following would reduce perceived waiting times most dramatically in a doctor's office?

The cost of customer waiting is easy to estimate, the number waiting multiplied by the wait cost per minute.

For a system that has a low utilization ratio, decreasing service capacity slightly will have only negligible effect on customer waiting time.

A multiple-channel system assumes that each server will have its own waiting line, and line changing is not permitted.

Consider these data regarding the multiple-server, priority service queuing model: Priority Average Arrival Rate High 3 per hour (Poisson) Low 5 per hour (Poisson) Service Rate: 2 per hour (Poisson) Number of Servers: 5 What is the average time in the system for a low-priority item?

Introduction to Operations Management

Competitiveness, Strategy, and Productivity

Forecasting

Product and Service Design

Extension: Reliability

Strategic Capacity Planning for Products and Services

Extension: Decision Theory

Process Selection and Facility Layout

Work Design and Measurement

Extension: Learning Curves

Location Planning and Analysis

Extension: The Transportation Model

Management of Quality

Quality Control

Extension: Acceptance Sampling

Aggregate Planning and Master Scheduling

MRP and ERP

Inventory Management

Jit and Lean Operations

Extension: Maintenance

Supply Chain Management

Scheduling

Project Management

Linear Programming

Filters