An Evaluation of Alternative Methodologies for Computing F100 Engine Requirements.

Abstract

The purpose of this research was to compare different methodologies for computing operational spares requirements for the F100-PW-100 jet engine, and to recommend a specific inventory model to be used by the Air Force to compute requirements for all modular engines. The models to be compared were the Engine Availability Concept, currently being used to compute F100 requirements, and Dyna-METRIC, which shows promise for the use in requirements computations, but is now used only for capability assessment. The research found that the Engine Availability Concept has apparently serious flaws that precluded comparison of the models using the scenario developed for the experiment. The study recommends that the use of, and reliance on, the Engine Availability Concept be suspended pending completion of further research. The Engine Availability Concept model is time and labor intensive, and requires considerable user experience to operate. The model relies on an apparently unsupported assumption that engine module stock levels computed for one phase of a given wartime scenario can be used without modification in another phase. In addition, the model contains no provision for computing module requirements in situations involving more than two echelons of maintenance and supply.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1987
Accession Number
ADA187768

Entities

People

  • Patrick G. Collins

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Business Administration
  • Computations
  • Engines
  • Inventory
  • Jet Engines
  • Logistics
  • Logistics Management
  • Logistics Support
  • Maintenance
  • Mathematical Models
  • Models
  • Probability Distributions
  • Supply Chain Management
  • Test And Evaluation
  • Test Equipment

Readers

  • Logistics and Supply Chain Management.
  • Systems Analysis and Design