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This add-in places the item Add OMIE on the OM_IE menu. Selecting
this item presents a dialog box that allows easy installation
and removal of the other add-ins in the collection. A second dialog
easily loads demonstration workbooks. |
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This add-in performs a variety of procedures to evaluate investment
alternatives. Included are procedures to define projects and compute
measures of effectiveness such as present worth, annual worth
and internal rate of return. Functions are provided to compute
the traditional time value of money factors. Projects may be defined
with tax and inflation considerations. Cash flows are presented
in either tabular or graphical displays. |
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This add-in uses optimization for two kinds of portfolio problems.
Capital Budgeting selects a portfolio from a set of candidate
projects. A project is described by its initial investment, annual
return, salvage value and life. The first three of these factors
are described by averages and standard deviations. Markowitz
Portfolio analysis determines an optimum mix if financial
securities considering both security returns and risk. Risk is
measured by the statistical variance of the portfolio. The analysis
uses historical return data to determine the expected return for
each security and the covariance matrix showing the dependence
between securities. |
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The Process
Flow Add-in provides a tool to analyze and design manufacturing
systems. Four principal activities are supported: process definition,
economic analysis, resource requirements analysis and product
mix decisions. The add-in constructs decision models
using the Math Programming add-in. That add-in must be installed
in order to construct linear and integer models. |
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This add-in
accepts as data: a list of departments, physical size of departments,
part flows between departments and the size of a proposed plant.
The program uses the CRAFT procedure in an attempt to find the
layout of departments that minimizes the distance over which parts
must flow. A graphical presentation of the layout allows the designer
to experiment with alternatives. |
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The add-in implements several forecasting methods for data series
including: moving average, exponential smoothing, regression and
double exponential smoothing. The add-in constructs a form that
holds the data and uses functions to compute forecasts and forecast
errors. Several data series can be analyzed on a single worksheet
page. An option allows comparison of several methods for a single
time series. A simulation option creates data simulated with the
Monte Carlo technique. Equity stock investment analysis provides
and example. |
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The subject of inventory control is a major consideration in many
situations. Questions must be constantly answered as to when and
how much raw material should be ordered, when a production order
should be released to the plant, what level of safety stock should
be maintained at a retail outlet, or how in-process inventory
is to be maintained in a production process. This add-in provides
answers to some of these questions using the results of inventory
theory. |
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Materials
Requirement Planning (MRP) is a scheduling procedure for production
processes that have several levels of production. Given information
describing the production requirements of the several finished
goods of the system, the structure of the production system, the
current inventories for each operation and the lot sizing procedure
for each , MRP determines a schedule for the operations and raw
material purchases. |
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The Project Management add-in implements
the Critical Path Method (CPM) and Project Evaluation and Review
Technique (PERT) for scheduling the activities in a project.
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