A Study of Demand Forecasting in the Defense Logistics Agency

Abstract

This report presents the findings of the study of demand forecasting conducted by the Operations Research and Economic Analysis Office at DLA. The study compared a number of different forecasting methods to determine if improvements over the current DLA forecasting method could be obtained. The methods were compared using both forecast error and impacts on the inventory system variables as criteria for judging improvement. The results of the study showed that the preferred method produced a 3.9% decrease in the average forecast error over the current system. Positive impacts on safety level dollars and other inventory variables would also be realized if, as the study recommends, this alternative technique is implemented. The report also offers several other recommendations for improving demand forecasting in DLA.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1986
Accession Number
ADA169637

Entities

People

  • Dale Kem
  • Janet Rider
  • Ronald Kirchoff
  • Stan Orchowsky

Organizations

  • Defense Logistics Agency

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Computational Science
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Discriminant Analysis
  • Information Processing
  • Information Science
  • Knowledge Management
  • Literature Surveys
  • Mathematical Filters
  • Operations Research
  • Plastic Explosives
  • Regression Analysis
  • Statistical Algorithms
  • Statistical Analysis
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Readers

  • Logistics and Supply Chain Management.
  • Systems Analysis and Design