Using Rsm, Doe and Linear Regression to Develop a Metamodel to Predict Cargo Delivery of a Time Phase Force Deployment Document
Ken S. Browne
Broschiertes Buch

Using Rsm, Doe and Linear Regression to Develop a Metamodel to Predict Cargo Delivery of a Time Phase Force Deployment Document

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Air Mobility Command (AMC) uses the Airlift Flow Model as their primary tool to estimate the amount of cargo delivered in a Time Phase Force Deployment Document (TPFDD). The primary objective of this research was an exploratory investigation in the development of a metamodel to predict the amount of cargo delivered from a TPFDD by AMC into a theater. In creating a valid metamodel the analyst would be able to quickly provide the decision maker with accurate insights should input parameters change. This would save valuable time and replace the need to physically alter the input parameters and re...