PREDICTIVE TECHNIQUES STUDY. PHASE I. COMPARISON OF SOME FORECAST METHODS.

Abstract

The report discusses the results of the research performed on Phase I of the Predictive Techniques Study. Phase I consisted of a short-term effort to obtain indications whether single or double exponential smoothing, double moving average, or moving least squares are more accurate than single moving average for forecasting. Phase I dealt only with computer generated artificial 'demand patterns'; thirty-nine runs were made on various demand patterns, and the alternative forecast methods evaluated for each run. A unique feature is that varying forecast lead times are taken into account (short-term vs. medium-term vs. long-term). Other parameters being varied include: the exponential smoothing constant alpha, mean demand, variance of demand (random) fluctuation, slope of trend when applicable. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1970
Accession Number
AD0706088

Entities

People

  • J. R. Stuart
  • L. L. Blair
  • M. D. Lum

Tags

DTIC Thesaurus Topics

  • Collaborative Techniques
  • Computers
  • Computing Devices
  • Delphi Method
  • Engineering
  • Lead Time
  • Management Engineering
  • Scheduling (Production)
  • Time

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation
  • Technical Research and Report Writing.