Multiple Model Forecasting as an Alternative to the Standard Base Supply System (D002A) Forecasting Technique.

Abstract

The purpose of this thesis was to test multiple model forecasting as an alternative to the Standard Base Supply System D002A forecasting technique. Actual data were used from Dover AFB, Delaware. The methods used in the multiple model technique were single exponential smoothing, double exponential smoothing, adaptive exponential smoothing, four-term moving average and eight-term moving average. Results of each technique were compared in terms of mean absolute deviation, bias, and mean absolute percentage error. The results indicated that the multiple model forecasting technique was not optimal when used with the Standard Base Supply System. Recommendations were made based on the analysis. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1981
Accession Number
ADA105074

Entities

People

  • George J. Borowsky
  • Vincent A. Abruzzese

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Facilities
  • Computer Programs
  • Computers
  • Data Analysis
  • Databases
  • Information Science
  • Inventory
  • Inventory Control
  • Logistics
  • Logistics Management
  • Schools
  • Standards
  • Time Series Analysis
  • United States
  • War Colleges

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Naval Personnel Management
  • Regression Analysis.