The Identification and Application of USAF Base Level Supply System Management Indicators.

Abstract

NORS rates are used to evaluate the effectiveness of the USAF base level supply system. This thesis critiques the use of NORS rates and other management indicators used by USAF managers in evaluating supply system performance and proposes new management indicators. USAF inventory policy is examined and the EOQ item, recoverable item, and engine inventory models are analyzed. Each model's variables, assumed demand distribution, implied performance level, and constraints are reviewed. Indicators are proposed that will provide managers with information with which to ensure actual variable values to not exceed their constraints. The proposed indicators will provide a method for evaluating and controlling base level supply system performance. Although a management indicator that directly measures the relationship between supply system performance and operational capability can not be developed, the proposed indicators will minimize back-orders. RAND has shown that my minimizing backorders, the NORS rate is also approximately minimized. Additionally, NORM should be reduced when backorders are minimized. While some computer programming changes will be required, no changes to USAF inventory policy will be necessary to use the proposed indicators. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1977
Accession Number
ADA047228

Entities

People

  • Charles M. Johnson
  • James L. Vick

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Business Administration
  • Computer Programming
  • Computer Programs
  • Computers
  • Department Of Defense
  • Logistics
  • Logistics Management
  • Maintenance
  • Maintenance Management
  • Maintenance Personnel
  • Management Personnel
  • Organizational Structure
  • Probability
  • Shortages (Logistics)
  • Statistics

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.