2. FORECASTING
Forecasting is the process of making statements about events whose
actual outcomes (typically) have not yet been observed.
For example, it might be estimation for some variable of interest at
some specified value date.
Forecasting is used in the practice of Customer Demand Planning in
every day business forecasting for manufacturing companies.
4. REGRESSION ANALYSIS
The Regression Analysis is part of Causal / econometric forecasting
methods.
It includes a large group of methods that can be used to predict future
values of a variable using information about other variables.
5. STRATEGIC BUSINESS PLANNING
Level of aggregation
Total sales or output volume
Top Management involvement
intensive
Forecast frequency
Annual or less
Length of forecast
Year by years or quarters
Usual techniques
Management judgment, regression.
6. SALES AND OPERATIONS PLANNING
Level of aggregation
Product family units
Top Management involvement
When reconciling functional plans or moderate
Forecast frequency
Monthly to quarterly
Length of forecast
Several months to a year by months
Usual techniques
Aggregation of detailed forecasts, customer plans
7. MASTER PRODUCTION SCHEDULING AND
CONTROL
Level of aggregation
Individual finished goods or components
Top Management involvement
Very little or Minimal
Forecast frequency
Constantly
Length of forecast
A few days to weeks
Usual techniques
Projection techniques (smoothing, moving average)
8. INTRODUCTION
The Ross Products is division of Abbott laboratories and is situated in
Columbus , Ohio.
It produces a variety of nutritional products including adult medical
nutrition supplements, pediatric infant formulas, as well as ancillary
equipment.
For example, pump which supplies nutritional liquids to the stomach.
Mainly there are four manufacturing facilities in US.
Ross markets its products in United States and Overseas.
They using log*plus program to perform demand management activities.
Log*plus produces forecasts from nation inputs and monitors actual
demands against these forecasts.
9. PROCEDURE
Marketing and sales
forecasts by products
groups
Vendor-managed
inventory
EDI
Demand Management
Other Customers
Orders
Breakout of national
forecast by plant
International Forecast
Forecast consolidation
and conversion ( to SKU
by plant)
Meeting for revising the
forecast
Forecast available for
manufacturing Planning
Meeting for
forecast review
10. Values of Dependent Variable
Actual
observation
Deviation
Deviation
Deviation
Deviation
Deviation
Deviation
Deviation
ˆ
Y
a bx
Time
Point on
regression
line
11. LINEAR TREND PROJECTION
Used for forecasting linear trend line
Yi
a
bX i
Assumes relationship between response variable, Y, and time, X, is a
linear function