Comparison of the TSAR (Theater Simulation of Airbase Resources) Model to the LCOM (Logistics Composite) Model.

Abstract

A comparison was made between the outputs of TSAR and LCOM. Each model was run with a F-016 database representing peacetime maintenance procedures at a single base. Since TSAR is a wartime model, modifications to the TSAR database were made in an attempt to make the models compatible. Simulation runs were made using three flying schedules, representing 1.0, 2.0, and 3.0 sortie rate taskings. Sortie production and main-hour outputs from like TSAR and LCOM runs were compared. Statistical comparison of the outputs showed TSAR sortie production figures and man-hour outputs varied significantly from those given by LCOM. Results were biased by the lack of completely compatible databases, but there was some evidence to suggest that a fairly constant factor represented the difference in outputs. In the course of the study, qualitative differences in the models were noted. These differences impacted the comparative ease of use of the models and their suitability to specific applications. TSAR is generally more difficult to use, in both input and output preparation and usage, but has greater power across a wide range of options. Development of TSAR pre-and postprocessors is suggested as a way to improve ease of input and utility of output.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1986
Accession Number
ADA174330

Entities

People

  • David R. Noble

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Computer Languages
  • Computer Programming
  • Computers
  • Databases
  • Experimental Design
  • Information Science
  • Logistics
  • Logistics Management
  • Maintenance
  • Manpower Utilization
  • Schools
  • Standards
  • Statistical Analysis
  • Statistical Tests
  • Supply Chain Management

Readers

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