The Effects of Item Usage Variation on Inventory Stockage Models.

Abstract

Although the USAF maintains accurate records of average usage data for recoverable items, very few historical data are available which record the variations in usage which items may exhibit. These usage variations or variances are necessary inputs to all USAF inventory models. Current USAF practice is not consistent with respect to how these variances are estimated and used in different stockage calculations, e.g., Peacetime Operating Stock (POS) requirements computations, distribution, WRSK/BLSS. The purpose of this research is to determine how possible errors in variance estimates will affect stockage models. A validated F-16 item usage data base and RAND's Dyna-METRIC stockage model were used to explore the effects on inventory investment costs and weapon system readiness and sustainability of errors in estimating item usage variances. It was found that both investment cost and readiness/sustainability were changed significantly when variances were changed. Implications are that the variance inputs to stockage models must be estimated accurately to avoid a misallocation of funds. Also, an accurate prediction of how a given stockage level will support readiness and sustainability depends on accurately determining the variance. This research suggests that the right variance-to-mean must be computed and used.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1982
Accession Number
ADA124403

Entities

People

  • Gary A. Turner
  • Jonathan H. Kutzke

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Aircraft Equipment
  • Aircrafts
  • Business Administration
  • Case Studies
  • Computations
  • Corporations
  • Databases
  • Inventory
  • Logistics
  • Logistics Management
  • Probability
  • Probability Distributions
  • Schools
  • Steady State
  • Weapon Systems

Readers

  • Logistics and Supply Chain Management.
  • Regression Analysis.