Multiple Forecasting Techniques
Abstract
The Defense Logistics Agency (DLA) currently employs the Standard Automated Materiel Management System(SAMMS) under a mode which forecasts demand for all quarterly Forecast Demand(QFD) Items through the use of a single forecasting technique. This approach for these QFD items has been shown previous analysis to result in long term forecasting errors. The result of these errors in forecasts is that DLA has consistently maintained higher safety levels which has contributed to the presence of excess on-hand stocks. Consequently, the overall thrust of this analysis has been to enhance the forecasting methodology of SAMMS by exploring alternative forecasting techniques which would have the potential to enhance the accuracy of long term forecasts. The project has succeeded in the development of a multiple forecasting methodology which has the capability to select the most appropriate forecasting technique for each QFD item.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1990
- Accession Number
- ADA230600
Entities
People
- Benedict C. Roberts
Organizations
- Defense Logistics Agency