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1

Waiting Line Management
2

OBJECTIVES


Waiting Line Characteristics



Suggestions for Managing Queues



Examples (Models 1, 2, 3, and 4)
Components of the Queuing
System
Servicing System
Servers
Queue or
Customer
Arrivals

Waiting Line
Exit

3
Customer Service Population
Sources

Population Source

Finite

Infinite

Example: Number of
Example: Number of
machines needing
machines needing
repair when a
repair when a
company only has
company only has
three machines.
three machines.

Example: The
Example: The
number of people
number of people
who could wait in
who could wait in
a line for
a line for
gasoline.
gasoline.

4
Service Pattern
Service
Pattern

Constant
Example: Items
Example: Items
coming down an
coming down an
automated
automated
assembly line.
assembly line.

Variable
Example: People
Example: People
spending time
spending time
shopping.
shopping.

5
6

The Queuing System
Length

Queue Discipline

Queuing
System

Service Time
Distribution

Number of Lines &
Line Structures
Examples of Line
Structures
Single
Phase
Single Channel

Multichannel

Multiphase

7
Suggestions for Managing
Queues
1. Determine an acceptable waiting
time for your customers
2. Try to divert your customer’s
attention when waiting
3. Inform your customers of what to
expect
4. Keep employees not serving the
customers out of sight
5. Segment customers

8
9

Suggestions for Managing Queues
(Continued)

6. Train your servers to be friendly
7. Encourage customers to come during
the slack periods
8. Take a long-term perspective toward
getting rid of the queues
10

Waiting Line Models
Model Layout
1
Single channel

Source
Population
Infinite

Service Pattern
Exponential

2

Single channel

Infinite

Constant

3

Multichannel

Infinite

Exponential

4

Single or Multi

Finite

Exponential

These four models share the following characteristics:
• Single phase
• Poisson arrival
• FCFS
• Unlimited queue length
11

Notation: Infinite Queuing: Model
1
λ = Arrival rate

µ = Service rate
1
= Average service time
µ
1
= Average time between arrivals
λ
λ
ρ = = Ratio of total arrival rate to sevice rate
µ
for a single server
Lq = Average number waiting in line
Infinite Queuing Model 1
(Continued)
Ls = Average number in system
(including those being served)
Wq = Average time waiting in line
Ws = Average total time in system
(including time to be served)
n = Number of units in the system
S = Number of identical service channels
Pn = Probability of exactly n units in system
Pw = Probability of waiting in line

12
Example: Model 1
Assume a drive-up window at a fast food restaurant.
Customers arrive at the rate of 25 per hour.
The employee can serve one customer every two
minutes.
Assume Poisson arrival and exponential service
rates.
Determine:
Determine:
A) What is the average utilization of the employee?
A) What is the average utilization of the employee?
B) What is the average number of customers in line?
B) What is the average number of customers in line?
C) What is the average number of customers in the
C) What is the average number of customers in the
system?
system?
D) What is the average waiting time in line?
D) What is the average waiting time in line?
E) What is the average waiting time in the system?
E) What is the average waiting time in the system?
F) What is the probability that exactly two cars will be
F) What is the probability that exactly two cars will be
in the system?
in the system?

13
14

Example: Model 1
A) What is the average utilization of the
employee?

λ = 25 cust / hr
1 customer
µ =
= 30 cust / hr
2 mins (1hr / 60 mins)
λ
25 cust / hr
ρ =
=
= .8333
µ
30 cust / hr
15

Example: Model 1
B) What is the average number of customers in
line?

λ
(25)
Lq =
=
= 4.167
µ ( µ - λ ) 30(30 - 25)
2

2

C) What is the average number of customers in the
system?

λ
25
Ls =
=
=5
µ - λ (30 - 25)
16

Example: Model 1
D) What is the average waiting time in line?

Lq
Wq =
= .1667 hrs = 10 mins
λ
E) What is the average waiting time in the system?

Ls
Ws =
= .2 hrs = 12 mins
λ
Example: Model 1
F) What is the probability that exactly two cars
will be in the system (one being served and the
other waiting in line)?

pn

λ λ
= (1- )( )
µ µ

n

25 25 2
p 2 = (1- )( ) = .1157
30 30

17
18

Question Bowl
The central problem for virtually all queuing
problems is which of the following?
a.
Balancing labor costs and equipment costs
b.
Balancing costs of providing service with the
costs of waiting
c.
Minimizing all service costs in the use of
equipment
d.
All of the above
e.
None of the above

Answer: b. Balancing
costs of providing
service with the costs
of waiting
19

Question Bowl
Customer Arrival “populations” in a queuing
system can be characterized by which of the
following?
a.

Poisson

b.

Finite

c.

Patient

d.

FCFS

e.

None of the above

Answer: b. Finite
20

Question Bowl
Customer Arrival “rates” in a queuing system
can be characterized by which of the
following?
a.

Constant

b.

Infinite

c.

Finite

d.

All of the above

e.

None of the above

Answer: a. Constant
21

Question Bowl
An example of a “queue discipline” in a queuing
system is which of the following?
a.

Single channel, multiphase

b.

Single channel, single phase

c.

Multichannel, single phase

d.

Multichannel, multiphase

None of the above
Answer: e. None of the above (These are the rules for
determining the order of service to customers, which
include FCFS, reservation first, highest-profit customer
first, etc.)

e.
22

Question Bowl
Withdrawing funds from an automated teller machine
is an example in a queuing system of which of
the following “line structures”?
a.

Single channel, multiphase

b.

Single channel, single phase

c.

Multichannel, single phase

d.

Multichannel, multiphase

e.

None of the above

Answer: b. Single channel, single phase
23

Question Bowl
Refer to Model 1 in the textbook. If the service
rate is 15 per hour, what is the “average
service time” for this queuing situation?
a.

16.00 minutes

b.

0.6667 hours

c.

0.0667 hours

d.

16% of an hour

e.

Can not be computed from data above

Answer: c. 0.0667 hours (1/15=0.0667)

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Tn7 wtg.line mgt

  • 2. 2 OBJECTIVES  Waiting Line Characteristics  Suggestions for Managing Queues  Examples (Models 1, 2, 3, and 4)
  • 3. Components of the Queuing System Servicing System Servers Queue or Customer Arrivals Waiting Line Exit 3
  • 4. Customer Service Population Sources Population Source Finite Infinite Example: Number of Example: Number of machines needing machines needing repair when a repair when a company only has company only has three machines. three machines. Example: The Example: The number of people number of people who could wait in who could wait in a line for a line for gasoline. gasoline. 4
  • 5. Service Pattern Service Pattern Constant Example: Items Example: Items coming down an coming down an automated automated assembly line. assembly line. Variable Example: People Example: People spending time spending time shopping. shopping. 5
  • 6. 6 The Queuing System Length Queue Discipline Queuing System Service Time Distribution Number of Lines & Line Structures
  • 7. Examples of Line Structures Single Phase Single Channel Multichannel Multiphase 7
  • 8. Suggestions for Managing Queues 1. Determine an acceptable waiting time for your customers 2. Try to divert your customer’s attention when waiting 3. Inform your customers of what to expect 4. Keep employees not serving the customers out of sight 5. Segment customers 8
  • 9. 9 Suggestions for Managing Queues (Continued) 6. Train your servers to be friendly 7. Encourage customers to come during the slack periods 8. Take a long-term perspective toward getting rid of the queues
  • 10. 10 Waiting Line Models Model Layout 1 Single channel Source Population Infinite Service Pattern Exponential 2 Single channel Infinite Constant 3 Multichannel Infinite Exponential 4 Single or Multi Finite Exponential These four models share the following characteristics: • Single phase • Poisson arrival • FCFS • Unlimited queue length
  • 11. 11 Notation: Infinite Queuing: Model 1 λ = Arrival rate µ = Service rate 1 = Average service time µ 1 = Average time between arrivals λ λ ρ = = Ratio of total arrival rate to sevice rate µ for a single server Lq = Average number waiting in line
  • 12. Infinite Queuing Model 1 (Continued) Ls = Average number in system (including those being served) Wq = Average time waiting in line Ws = Average total time in system (including time to be served) n = Number of units in the system S = Number of identical service channels Pn = Probability of exactly n units in system Pw = Probability of waiting in line 12
  • 13. Example: Model 1 Assume a drive-up window at a fast food restaurant. Customers arrive at the rate of 25 per hour. The employee can serve one customer every two minutes. Assume Poisson arrival and exponential service rates. Determine: Determine: A) What is the average utilization of the employee? A) What is the average utilization of the employee? B) What is the average number of customers in line? B) What is the average number of customers in line? C) What is the average number of customers in the C) What is the average number of customers in the system? system? D) What is the average waiting time in line? D) What is the average waiting time in line? E) What is the average waiting time in the system? E) What is the average waiting time in the system? F) What is the probability that exactly two cars will be F) What is the probability that exactly two cars will be in the system? in the system? 13
  • 14. 14 Example: Model 1 A) What is the average utilization of the employee? λ = 25 cust / hr 1 customer µ = = 30 cust / hr 2 mins (1hr / 60 mins) λ 25 cust / hr ρ = = = .8333 µ 30 cust / hr
  • 15. 15 Example: Model 1 B) What is the average number of customers in line? λ (25) Lq = = = 4.167 µ ( µ - λ ) 30(30 - 25) 2 2 C) What is the average number of customers in the system? λ 25 Ls = = =5 µ - λ (30 - 25)
  • 16. 16 Example: Model 1 D) What is the average waiting time in line? Lq Wq = = .1667 hrs = 10 mins λ E) What is the average waiting time in the system? Ls Ws = = .2 hrs = 12 mins λ
  • 17. Example: Model 1 F) What is the probability that exactly two cars will be in the system (one being served and the other waiting in line)? pn λ λ = (1- )( ) µ µ n 25 25 2 p 2 = (1- )( ) = .1157 30 30 17
  • 18. 18 Question Bowl The central problem for virtually all queuing problems is which of the following? a. Balancing labor costs and equipment costs b. Balancing costs of providing service with the costs of waiting c. Minimizing all service costs in the use of equipment d. All of the above e. None of the above Answer: b. Balancing costs of providing service with the costs of waiting
  • 19. 19 Question Bowl Customer Arrival “populations” in a queuing system can be characterized by which of the following? a. Poisson b. Finite c. Patient d. FCFS e. None of the above Answer: b. Finite
  • 20. 20 Question Bowl Customer Arrival “rates” in a queuing system can be characterized by which of the following? a. Constant b. Infinite c. Finite d. All of the above e. None of the above Answer: a. Constant
  • 21. 21 Question Bowl An example of a “queue discipline” in a queuing system is which of the following? a. Single channel, multiphase b. Single channel, single phase c. Multichannel, single phase d. Multichannel, multiphase None of the above Answer: e. None of the above (These are the rules for determining the order of service to customers, which include FCFS, reservation first, highest-profit customer first, etc.) e.
  • 22. 22 Question Bowl Withdrawing funds from an automated teller machine is an example in a queuing system of which of the following “line structures”? a. Single channel, multiphase b. Single channel, single phase c. Multichannel, single phase d. Multichannel, multiphase e. None of the above Answer: b. Single channel, single phase
  • 23. 23 Question Bowl Refer to Model 1 in the textbook. If the service rate is 15 per hour, what is the “average service time” for this queuing situation? a. 16.00 minutes b. 0.6667 hours c. 0.0667 hours d. 16% of an hour e. Can not be computed from data above Answer: c. 0.0667 hours (1/15=0.0667)