Evaluation of Variance Approximations and Demand Forecasting Techniques

Abstract

ALRAND Working Memorandum 365 of 26 September 1980 recommended two potential improvements to the current UICP (Uniform Inventory Control Program) demand forecasting techniques: (1) a more direct approximation for the variance of quarterly demand; and (2) adaptive smoothing to forecast demand. This study used the 5A (Aviation Afloat and Ashore Allowance Analyzer) wholesale inventory simulator and actual demand observations to compare the suggested alternatives to the current method. The following criteria were used in the comparison: inventory investment, performance, workload, demand forecast accuracy and the required computer time. However, the primary criterion used was the change in performance per dollar invested. The study showed that (1) the more direct approximation of standard deviation of demand is not an improvement; and (2) adaptive smoothing with filtering should be considered for implementation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 1981
Accession Number
ADA111220

Entities

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  • Kim L. Hoff

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  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Computer Programs
  • Computers
  • Data Science
  • Databases
  • Information Science
  • Inventory Control
  • Logistics
  • Naval Operations
  • Navy
  • Operations Research
  • Plastic Explosives
  • Simulations
  • Simulators
  • Square Roots
  • Standards
  • Supply Depots

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  • Regression Analysis.