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Economic Forecasts
addressing business cycle- inflation rate, money supply, housing starts, etc
Technological Forecasts
predict rate of technological progress
impacts development of new products
Demand Forecasts
predict sales of existing products and services
Qualitative Methods
used when situation is vague and little data exists
new products
new techology
Quantitative Methods
used when situation is ‘stable’ and historical stat exists
existing products
current technology
4 Qualitative Methods
Jury of executive opinion
Delphi method
Sales force composite
Market survey
Jury of executive opinion
pools opinions of high-level experts or managers, sometimes augmented by statistical models
Delphi method
panel of experts (decision makers, staff personnel and respondents), queried iteratively
Sales force composite
estimates from individual salespersons are reviewed for reasonableness, then aggregated
Market survey
ask the customer about future purchasing plans
time-series models
naive approach
moving averages
exponential smoothing
trend projection
associative model
linear regression
time-series forecasting
set of evenly spaces numerical data (weekly, monthly)
based only on past values, no other variables important
naive approach
assumes demand is next period is the same as demand in most recent period
good starting point
moving averages
series of arithmetic means
assume that market demand will stay fairly steady over time
provides overall impression of data over time
weighted moving average
used when some trend or pattern might be present
older data usually less important
weights based on experience and intuition
Exponential smoothing
form of weighted moving average
weights decline exponentially
most recent data weighted most
requires smoothing constant (a)
ranges from 0 - 1
involves little record keeping of past data
trend projections
fitting a trend line to historical data points, to project into the medium to long-range
linear trends can b found using the least-squares technique
cyclical variations
cycles- patterns in the data that occur every several years
forecasting is difficult
wide variety of factors
coefficient of correlation (r )
measures the degree of association
values range from -1 to +1
coefficient of determination (r²)
measures the percent of change in your predicted by the change in x
value range from 0-1
management of projects
planning
scheduling
controlling
Planning
goal setting, defining the project, tam organization
scheduling
relate people, money, and supplies to specific actives and actives to each other
controlling
monitor resources, costs, quality, and budgets; revise plans and shift resources to meet time and cost demands
project scheduling techniques
gnats chart
critical path method (CPM)
program evaluation and review technique (PERT)
gnatt charts
ensure that all actives are planned for
the activity time estimates are recorded
the overall project time is developed
purpose of project scheduling
shows the relationship
precedence relationships
setting of realistic time
cost estimates
project controlling
close monitoring of resources, costs, quality, budgets
feedback enables revising the project plan and shift resources
questions PERT and CPM can answer
when will the entire project be completed?
what are the critical actives or tasks in the project?
which are noncritical actives?
what is the probability the project will be completed by a specific date?
CPM
assumes we know a fixed time estimate for each activity and there is no variability in activity times
PERT
uses a probability distribution for activity times to allow for variability