Chap018 - Waiting Lines

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S P CHHEDA & CO

18-1 Waiting Lines

William J. Stevenson

Operations Management

8th edition

S P CHHEDA & CO

18-2 Waiting Lines

S P CHHEDA & CO

18-3 Waiting Lines

Disney World

Waiting in lines does not add enjoyment

Waiting in lines does not generate revenue

Waiting lines are non-value added occurrences

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18-4 Waiting Lines

Waiting Lines

Queuing theory: Mathematical approach to the analysis of waiting lines.

Goal of queuing analysis is to minimize the sum of two costs Customer waiting costs

Service capacity costs

Waiting lines are non-value added occurrences

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18-5 Waiting Lines

Cost to provide waiting space Loss of business

Customers leaving Customers refusing to wait

Loss of goodwill Reduction in customer satisfaction Congestion may disrupt other business

operations

Implications of Waiting Lines

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Queuing Analysis

Optimum

Cost of service capacity

Cost of service capacity

Cost of customerswaiting

Cost of customerswaiting

Total costTotal cost

Co

st

Service capacity

Totalcost

Customerwaiting cost

Capacitycost= +

Figure 18.1

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18-7 Waiting Lines

System Characteristics Population Source

Infinite source: customer arrivals are unrestricted

Finite source: number of potential customers is limited

Number of observers (channels)

Arrival and service patterns

Queue discipline (order of service)

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Elements of Queuing System

Arrivals ServiceWaitingline

Exit

Processingorder

System

Figure 18.2

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18-9 Waiting Lines

Queuing Systems

Multiple channel

Multiple phase

Figure 18.3

Channel: A server in a service system

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Poisson Distribution

0

0.05

0.1

0.15

0.2

0.25

0 1 2 3 4 5 6 7 8 9 10 11 12

Figure 18.4

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18-11 Waiting Lines

Waiting line Models Patient

Customers enter the waiting line and remain until served Reneging

Waiting customers grow impatient and leave the line Jockeying

Customers may switch to another line Balking

Upon arriving, decide the line is too long and decide not to enter the line

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18-12 Waiting Lines

Waiting Time vs. Utilization

System Utilization

Av

era

ge

nu

mb

er o

n

tim

e w

ait

ing

in li

ne

0 100%

Figure 18.6

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18-13 Waiting Lines

System Performance

1. Average number of customers waiting

2. Average time customers wait

3. System utilization

4. Implied cost

5. Probability that an arrival will have to wait

Measured by:

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18-14 Waiting Lines

1. Single channel, exponential service time

2. Single channel, constant service time

3. Multiple channel, exponential service time

4. Multiple priority service, exponential service time

Queuing Models: Infinite-Source

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18-15 Waiting Lines

Priority Model

Arrivals ServiceWaitingline

Exit

Processingorder

System

11231

Arrivals are assigneda priority as they arrive

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18-16 Waiting Lines

Finite-Source FormulasX

T

T UL N F

WL T U

N L

T F

XFJ NF X

H FNX

N J L H

(1 )

( ) (1 )

(1 )

Average number being served

Service factor

Average number waiting

Average waiting time

Average number running

Number in population

Table 18.6

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18-17 Waiting Lines

Finite-Source Queuing

Not waiting or being served

WaitingBeingserved

J L H

U W T

FJ H

J L H

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18-18 Waiting Lines

Other Approaches

Reduce perceived waiting time Magazines in waiting rooms Radio/television In-flight movies Filling out forms

Derive benefits from waiting Place impulse items near checkout Advertise other goods/services