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Friday, December 21, 2007

Model Base


Model Base
A model base contains routine and special statistical, financial, fore
casting, management science, and other quantitative models that provide
the analysis capabilities in a DSS.
Four major categories are…
Strategic, tactical, operational and Model building blocks and routines.
Strategic
Models
Used to support top
management’s planning
responsibilities
Developing corporate objectives
Planning for mergers &
acquisitions
Plant location selection
Environmental impact analysis
Non routine capital budgeting
Tactical
Models
Used mainly by middle
management to assist in
allocating & controlling the
organization’s resources.
Time horizon varies from 1 month
to less than 2 year
Labor requirement planning
Sales promotion planning
Plant layout determination
Routine capital budgeting
Operational
Models
Used to support the day to day
working activities of the
organization
Operational models support
mainly first line manager’s
decision making with a daily to
monthly time horizons.
Personal loans by a bank
Production scheduling
Inventory control
Maintenance planning &
scheduling
Quality control
Model
Building
Blocks &
Random number generator routine
Curve line fitting routine
Present value computational
routines routine
Regression analysis
Modeling
Language
COBOL, with a spreadsheet or
with outer fourth generation
language
Special modeling languages such
as IFPS/PLUS
 The model base management system (MBMS)
MBMS software are model creation using subroutines and other building
blocks, generation of new routines and reports, model updating and
changing and model data manipulation.
 The Model directory
The role of the model directory is similar to that of a database directory.
It is catalog of all the methods and other software in the model base.
It contains the model definitions, and its main function is to answer
questions about the availability and capability of the model.
 Model execution, integration and command
Model execution is the process of controlling the actual running of the
model.
Model integration means combining the operations of several models
when needed.
A model command processor is used to accept and interpret modeling
instructions from the dialog component and to routine them to the MBMS,
the model execution or the integration functions.
 The Kno

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