Demand Forecasting with Program Factors

Abstract

Empirical demand forecasting studies have raised doubt about the often-made assumption that repair part demand is proportional to end-item usage. The study was made to test this assumption using a data base consisting of demands on the Army Aviation Systems Command National Inventory Point (AVSCOM NICP) for thousands of stocked items. A simulation of the NICP supply function was used to test the assumption and various proposed forecasting algorithms. The criterion was least holding and ordering cost for constant time-weighted requisitions short. The assumption that demand is proportional to end-item program was supported at least for the items responsible for the largest part of the costs, and an improved algorithm was found.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1975
Accession Number
ADA017858

Entities

People

  • Martin Cohen

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Airframes
  • Algorithms
  • Army Aviation
  • Boundaries
  • Business Administration
  • Databases
  • End Items
  • Engines
  • Inventory Control
  • Logistics
  • Maintenance
  • Simulations
  • Simulators
  • Test And Evaluation
  • Weapon Systems

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Logistics and Supply Chain Management.
  • Theoretical Analysis.