Estimation of Parameters Values for UICP Demand Forecasting Rules,
Abstract
This study estimates parameter values pertaining to the UICP (Uniform Inventory Control Program) model for forecasting demand and the MAD (Mean Absolute Deviation) of demand. More specifically, the filter constants, trend significance levels and smoothing weights are evaluated using the 5A (Aviation Afloat and Ashore Allowance Analyzer) wholesale inventory simulator. Alternative values were systematically selected for the filter constants, trend significance levels and smoothing weights to be applied to a data base of actual demands for determining which parameter values generate the most effective demand forecast. Effectiveness is judged by the following criteria: inventory investment, performance, workload and demand forecast accuracy.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1981
- Accession Number
- ADA110394
Entities
People
- Jerry L. Zamer