Sample Models
Models grouped by subject
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General subjects
The projects in this group cover a wide range of topics.
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Site selection
The models in this group have to do with site selection. Many of them have to do with international companies making decisions as to where to locate factories, services, and so on.
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Business decisions
These are a variety of normal business decisions such as whether to build a new software application in-house, outsource it, or purchase already complete.
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Outsourcing decisions
A collection of models tackling the outsourcing problem. The strategy of outsourcing functions, tasks, and activities to another company has existed for decades. During periods of recession, corporations cut costs by moving jobs that are of a repetitive nature to lower-cost regions.
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Decision making at the national level
These models deal with issues faced by nations. Some are for decisions on actions to be taken outside the nation, and some decisions on internal actions.
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Decision making at the local level
Many projects over the years have been done on local Pittsburgh or Pennsylvania issues. Some of the better ones are included here.
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Automobile industry
Several studies have been done over the years on decision making in the auto industry. Some of the projects presented here were studies on what the best decision was in certain situations. The decisions had not yet been made. In some cases they were extremely accurate predictors of what the companies ended up doing.
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Personal decisions
These projects fall into the category of personal decision making and include such topics as deciding on a career.
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Sports decisions
In this section we have models related to sports like analyzing quarterback picks in the NFL Draft or who could be the successor of a specific player
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Market share forecasts
Market share models are simple ANP networks that attempt to estimate the market share of products, companies and organizations using "soft" factors of the type that most consumers have in mind when they make a choice. The normalized priorities that result from a market share model can be compared to data such as dollar sales, radio audiences, etc. by normalizing that data. To normalize any set of numbers to 1, sum the numbers and divide each by that sum. The numbers will then be decimals that sum to 1 and can be compared to the priorities of the ANP model.
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Predicting outcomes
Many projects over the years have been done on prediction such as economy prediction and presidential prediction are included here.
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Resource planning and management
Many projects over the years have been done on prediction such as economy prediction and presidential prediction are included here.