Accession Number : AD0743412

Title :   The Application of Exponential Smoothing to Forecasting Demand for Economic Order Quantity Items.

Descriptive Note : Master's thesis,

Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF SYSTEMS AND LOGISTICS

Personal Author(s) : Fischer,Donald C. , Jr. ; Gibson,Paul S.

Report Date : 28 JAN 1972

Pagination or Media Count : 89

Abstract : Effective management of economic order quantitiy (EOQ) items at an Air Force base consolidated supply activity requires the use of a demand forecasting technique to routinely estimate future demand for the purpose of establishing stock levels. This study compares the effectiveness of four forecasting models feasible for use at base level. The moving averages method and three exponential smoothing models (single, double and triple) are evaluated using 22 months of demand history for a random sample of 34 EOQ items stocked at a base consolidate supply activity. Four statistical error measures are used to compare the accuracy of the forecasts generated by the models for the items. (AUthor)

Descriptors :   (*AIR FORCE EQUIPMENT, INVENTORY CONTROL), (*INVENTORY CONTROL, MATHEMATICAL PREDICTION), COST EFFECTIVENESS, MATHEMATICAL MODELS, TIME SERIES ANALYSIS, STATISTICAL ANALYSIS, OPTIMIZATION, THESES

Subject Categories : Logistics, Military Facilities and Supplies

Distribution Statement : APPROVED FOR PUBLIC RELEASE