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Decision Analysis Lecture 7

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Truck drivers working for Juhn and Sons are paid a salary of $15 per hour. ... The summer rental season runs for 150 days and during this time customers ... – PowerPoint PPT presentation

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Title: Decision Analysis Lecture 7


1
Decision Analysis - Lecture 7
  • Crisis Help
  • Queueing model problems and review

2
Crisis Help
3
Queueing review
  • What are the assumptions underlying common
    queueing models?
  • What are the important operating characteristics
    of a queueing system?
  • Why must the average service time be greater than
    the average interarrival time for a single server
    queue?

4
Queueing review
  • When might a first-in-first-out rule not be
    applicable?
  • What are situations in which there is a limited
    (finite) queue?
  • Is the exponential distribution a good model for
    arrivals at
  • 1) MBS Café 2) Dentist 3) Movie theatre 4)
    Hardware shop

5
Juhn and Sons
  • A wholesale fruit distributor, Juhn and Sons,
    employs one worker whose job it is to load fruit
    on outgoing company trucks. Trucks arrive at the
    loading gate at an average of 24 per day or 3 per
    hour, according to an exponential distribution.
    The worker loads them at a rate of 4 per hour
    (also exponential).

6
Juhn and Sons
  • On average, how many trucks are waiting to be
    loaded? How long do they wait on average?
  • What is the probability that there will be more
    than three trucks either being loaded or waiting?

7
Juhn and Sons (2)
  • Juhn believes that adding a second loader will
    substantially improve the firms efficiency. With
    2 loaders the system would still operate as a
    single server queue with one truck being served
    at a time but the loading rate would increase to
    8 trucks per hour.
  • What would be the effect on the queue?

8
Juhn and Sons (3)
  • Truck drivers working for Juhn and Sons are paid
    a salary of 15 per hour. Loaders receive 9 per
    hour. Drivers waiting in the queue or at the
    loading gate are earning a salary but are
    productively idle. What would be the hourly cost
    savings to the firm if they employed 2 loaders
    instead of 1?

9
Economics of queues
  • What are the costs of waiting?
  • Product inventory versus Customer inventory

10
Yacht rentals
  • A yacht rental firm owns four identical yachts.
    The summer rental season runs for 150 days and
    during this time customers approach the firm
    every 2 days on average wanting to rent a yacht.
    The average rental period is 5.5 days (both
    arrivals and service are exponential). If no
    yachts are available, customers leave and dont
    wait in a queue.

11
Yacht rentals
  • Results for M/M/4/0
  • At least 1 yacht rented 93 of the time
  • At least 2 yachts rented 72 of the time
  • At least 3 yachts rented 44 of the time
  • All 4 yachts rented 18 of the time

12
Yacht rentals
  • Each yacht is worth 50,000 and costs 2,000 per
    season to maintain. Rental revenue is 200/day
    per yacht.
  • Suppose the rental firm requires 10 ROI. Should
    they sell one of the yachts? Why or why not?
  • (Ignore net present value etc.)

13
Behavioural queueing
  • Waiting as a part of life
  • Expectations vs perceptions
  • Diversionary tactics
  • Anxiety decreases if feel service has started
  • Information about length of queue and likely time
    until finished

14
Behavioural queueing
  • Appointments - advantages and disadvantages
  • Equity

15
Summary
  • Queueing models are used wherever there is
    congestion
  • Some basic principles can aid in designing
    processes
  • high utilisation is not always a good thing. Plan
    for extra (or flexible) capacity.
  • variation causes delays. Try to make arrivals and
    service times more predictable.

16
Summary
  • pooling servers reduces waiting times. Try to
    combine queues and servers to make most effective
    use of resources.
  • queueing systems are complex especially networks
    of queues. You cant predict in advance what a
    small change to one part of the system may do to
    the rest. Try simulating the system to test
    changes in advance.

17
Next lecture
  • Read texts
  • Bring Service Model output for Fatigue Management
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