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3.3 decision techniques
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sales forecasting
the process of predicting
future
sales
levels
by volume or value
quantitative sales forecasting
based on data that can be
historic
or the result of
quantitative
research
moving averages
series of
averages
calculated from
successive segments
of a series of data
scatter graphs
plot the relationships between
2
variables to identify
correlation
correlation
identifying the
relationship
between
2
variables
extrapolation
using
past
data to extend the identified trends into the
future
limitations of quantitative sales forecasting
1. greater
uncertainty
in the future
2. sales will be influences by
external
shocks that can't be
predicted
3. manipulated or
bias
4.
inadequate
market research
investment
appraisal
comparison of the expected future cash flow of an investment with the
initial
outlay for the investment
simple payback period
how long it will take you to pay back the investment (
years
and
months
)
limitations of payback
- the longer the payback period, the greater the degree of risk and uncertainty
- provides no insight into
profitability
- assumes that in the
payback period
cash-flow will be the
same
each month
Average rate of return (ARR)
calculates
average profit
as a percentage of the initial
investment
calculating ARR
(
average profit/initial investment
) x
100
Net Present Value (NPV)
calculates total return on
investment
taking into account the
time
value of money
calculating
NPV
Σ(net cash flow x
discount
factor)
limitations of investment appraisal
- relies on
forecasts
that may lack
accuracy
-
qualitative
factors are not considered
- market can change which affects future
cash flows
decision trees
quantitative method of tracing outcomes of a
decision
so that the most
profitable
decision can be identified
strengths of decision trees
1. clearly shows the options available
2. encourages
logical thinking
3. takes
risk
into account
4. highlights the
likelihood
of each outcome
limitations of decision trees
-
time
consuming to gather
reliable
data
- only an
estimation
- should only be used to
AID
decision making
critical path analysis
project management tool that uses network analysis to plan
complex
and
time-sensitive
projects
critical path
the tasks involved in a project, which if
delayed
, could
delay
the whole project
earliest start time
(
EST
)
how
soon
a task in a project can
begin
latest finishing time (LFT)
the latest tie that a task in a project can
finish
,
without delaying
the whole project
free float
the time by which a task can be
delayed
without affecting the project
finishing
time
decision node
used where a
decision
has to be made
chance node
used where there are a number of possible
outcomes
network diagram
a
chart
showing the order of
tasks
involved in completing a project
limitations of critical path analysis
- heavily relies on
estimates
- doesn't take into account
qualitative
factors
- doesn't guarantee project
success
- estimates may be
biased