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A Unified Model for Demand Prediction in the Context of Provisioning and Procurement.
GEORGE WASHINGTON UNIV WASHINGTON D C PROGRAM IN LOGISTICS
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An improved logistics demand prediction model is presented which incorporates features of two earlier models. The unified model pools usage data classified by repair part class and by component class. The performance of the model is evaluated in a provisioning and replenishment context and compared with that for the current procedure which employs technicians usage estimates. Author
APPROVED FOR PUBLIC RELEASE