Question:\
The Decker Company maintains a fleet of 10 service trucks and
crews that provide a variety of plumbing, heating, and cooling
repair services to residential customers. Currently, it takes on
average about six hours before a service team responds to a service
request. Each truck and crew averages 12 service calls per week,
and the average revenue earned per service call is $150. Each truck
is in service 50 weeks per year. Owing to the diffi culty in
scheduling and routing, there is considerable slack time for each
truck and crew during a typical week. In an effort to more
efficiently schedule the trucks and crews and improve their
productivity, Decker management is evaluating the purchase of a
prewritten routing and scheduling soft ware package. The benefits
of the system will include reduced response time to service
requests and more productive service teams, but management is
having trouble quantifying these benefits. One approach is to make
an estimate of how much service response time will decrease with
the new system, which then can be used to project the increase in
the number of service calls made each week. For example, if the
system permits the average service response time to all to four
hours, management believes that each truck will be able to make
sixteen service calls per week on average—an increase of four calls
per week. With each truck making four additional calls per week and
the average revenue per call at $150, the revenue increase per
truck per week is $600 (4 3 $150). With ten trucks in service fi ft
y weeks per year, the average annual revenue increase will be
$300,000 ($600 3 10 3 50). Decker Company management is unsure
whether the new system will enable response time to fall to four
hours on average or if it will be some other number. Therefore,
management has developed the following range of outcomes that may
be possible outcomes of
the new system, along with probability estimates of each outcome’s
occurring. New Response Time # Calls/Truck/Week Likelihood
2 hours 20 20%
3 hours 18 30%
4 hours 16 50%
Given these fi gures, prepare a spreadsheet model that
computes the expected value of the annual revenues to be produced
by this new system.
EXPECTED VALUE OF ALL THE OUTCOMES | |||||
i | Outcome # | Details | 1 | 2 | 3 |
ii | New Response Time(hrs) | (given) | 2 | 3 | 4 |
iii | Calls per week/truck | (given) | 20 | 18 | 16 |
iv | Probability of Outcome | (given) | 20% | 30% | 50% |
v | Revenue per Service call $ | (given) | 150 | 150 | 150 |
vi | service weeks /yr | (given) | 50 | 50 | 50 |
vii | Trucks | (given) | 10 | 10 | 10 |
viii | Annual Revenue($) | (iii)*(v)*(vi)*(vii) | 1,500,000 | 1,350,000 | 1,200,000 |
ix | Expected Value | (viii)*(iv) | 300,000 | 405,000 | 600,000 |
x | TOTAL | sum of (ix) | 1,305,000 |
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