Accession Number : AD0786505
Title : Comparison of Several Methods for Forecasting Repair Parts Requirements.
Descriptive Note : Final rept.,
Corporate Author : ARMY MATERIEL COMMAND TEXARKANA TEX INTERN TRAINING CENTER
Personal Author(s) : Quinn,John C.
Report Date : APR 1974
Pagination or Media Count : 129
Abstract : The object of this research is to compare the accuracies of several methods used in forecasting the repair parts requirements for a rebuild process. The forecasting methods compared are: Cumulative Method, Moving Average Method, Exponential Smoothing, Double Exponential Smoothing, and Least Squares Technique. To make this comparison a demand series is simulated. Forecasts of this simulated demand series are then made using each of the forecasting methods. The resulting forecast errors are then analyzed to evaluate the forecasting techniques. (Author)
Descriptors : *Army equipment, *Spare parts, Mathematical prediction, Forecasting, Time series analysis, Analysis of variance, Least squares method, Computer programs
Subject Categories : Logistics, Military Facilities and Supplies
Distribution Statement : APPROVED FOR PUBLIC RELEASE