Pugh-Roberts has developed a number of simulation models to forecast the demand for products in specific markets. These models contain key feedback relationships which create growth, decline, and cycles in the market. They are unique in their integrated representation of macro-economic, micro-economic, and regulatory factors. Their broad scope makes them powerful enough to specifically show the relative importance of industry factors such as manufacturer pricing policies, inventory and production policies, capacity expansion policies, and the timing of new product introduction, in creating or magnifying market cycles. These models are highly valuable because, unlike simple statistical models, they explain the root causes of cyclical behavior and can therefore more accurately predict the timing and severity of market cycles. As a result, the models provide valuable information regarding:

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Date created

• 1989

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

Part of

a656a490ae4bb95659d385b98804153f

Scope and Contents

Part of

23d738ba88f8333bc39725f9cb5bd0b8

Scope and Contents

Part of

229aea09844305a482784be9fca550ff

Scope and Contents

Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives