A Unified Model for Demand Prediction in the Context of Provisioning and Procurement.

Abstract

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)

Document Details

Document Type
Technical Report
Publication Date
May 05, 1971
Accession Number
AD0725477

Entities

People

  • Rosedith Sitgreaves
  • Sheldon E. Haber

Organizations

  • George Washington University

Tags

DTIC Thesaurus Topics

  • Logistics
  • Replenishment

Readers

  • Instructional Design and Training Evaluation.
  • Life Cycle Cost Analysis
  • Neural Network Machine Learning.