Integrated Forecasting Techniques for Secondary Item Classes. Part I. Active Items

Abstract

This report is one of the final in a series on forecasting methods and forecast performance for Army item demands in the wholesale supply system. An extended data base of 48 quarters is used and both old and new algorithms are evaluated. A more intensive analysis is made than in previous studies. Forecast algorithms are used on various item activity classes with the intent of detecting patterns which could indicate where certain algorithms work best. It was hoped that ultimately a synthesis of procedures for forecasting by item classes and for interfacing across classes could be developed. However, the evaluation results as described in this report present no clear cut improvement to the current method for active items. In Part II, a new forecast procedure is recommended for inactive items.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1980
Accession Number
ADA097024

Entities

People

  • Donald Orr
  • Edwin P. Gotwals Iii

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Computations
  • Data Science
  • Databases
  • Frequency
  • Industrial Engineering
  • Information Science
  • Kalman Filters
  • Lead Time
  • Logistics
  • Management Engineering
  • Plastic Explosives
  • Simulations
  • Simulators
  • Standards
  • Statistical Analysis
  • Statistics

Readers

  • Logistics and Supply Chain Management.
  • Neural Network Machine Learning.
  • Systems Analysis and Design