An Evaluation of Markov Chain Modeling for F/A-18 Aircraft Readiness

Abstract

During its 1998 deployment the USS INDEPENDENCE (CV 62) and Carrier Air Wing Five operated under the control of Commander, Task Force 50 (CTF-5O). To balance resources and readiness, CTF-50 asked the following question: "How many days can the USS INDEPENDENCE go without "off ship" logistics support before the number of Mission Capable aircraft can be expected to fall below Chief of Naval Operations readiness goals?" This thesis develops a Markov chain model to answer this question. Explanatory variables for this model include sorties flown, cannibalization rate and frequency of "off ship" logistics support. Using data from INDEPENDENCE, this thesis analyzes aviation readiness by estimating the number of F/A-l8 aircraft capable of performing at least one of its intended missions. Both non-linear Markov models and. Generalized Linear Models are employed to estimate the effect of the operating environment on the number of mission capable aircraft available. The analysis demonstrates how the Markov approach captures the cyclic nature of aircraft operations and maintenance. Specifically, it is shown that INDEPENDENCE can expect to operate five to eight days without "off ship" logistics support before F/A-l8 MC rates fall below CNO readiness goals. Recommendations for further studies are included.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA355761

Entities

People

  • Leigh P. Ackart

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Cannibalization
  • Deployment
  • Logistics
  • Logistics Management
  • Logistics Support
  • Maintenance
  • Maintenance Personnel
  • Markov Chains
  • Markov Models
  • Markov Processes
  • Naval Operations
  • Operations Research
  • Probabilistic Models
  • Probability
  • Random Variables
  • Stochastic Processes

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Maritime and Naval Warfare Studies