Comparison of Centralized-Manual, Centralized-Computerized, and Decentralized-Computerized Order and Management Information Models for the Turkish Air Force Logistics System.

Abstract

This thesis investigates three-base-level logistics order and information models to show their effects on logistics system performance. The selected models are the current TUAF manual system, the planned TUAF RDS and the current USAF COMO/COSO order and information models. The first two models represent a centralized logistics management policy. The third model, USAF's COMO/COSO, represents a more decentralized order and information procedure. To compare the performance of these three models, the TSAR (Theater Simulation of Airbase Resources) program was used. Input data was obtained from an F-16 TSAR Data Base documented by Orlando Technology, Inc. of Orlando Florida. Outputs of the three models are analyzed by comparing the flown sortie rate, number of non mission capable (NMC) aircraft, NMC hours, and number of holes for a given scheduled sortie rate, stock level, and number of aircraft. The major limitations of this study are Approximated order and ship times, and Hypothetical information about the TUAF Logistics policy, procedures, and organizational functions.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1986
Accession Number
ADA174120

Entities

People

  • A. A. Yilmaz

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Business Administration
  • Civil Engineering
  • Computer Programming
  • Computer Programs
  • Databases
  • Information Systems
  • Logistics
  • Logistics Management
  • Maintenance
  • Management Personnel
  • Organizational Structure
  • Personnel Management
  • Resource Management
  • Training Management
  • Warfare

Readers

  • Aerospace logistics and air mobility.
  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.