Optimization of USMC Hornet Inventory

Abstract

The 2016 United States Marine Corps (USMC) Aviation Plan establishes the timeline to transition all F/A-18 Hornet squadrons to the F-35 Joint Strike Fighter. Ensuring Hornets can continue to support operational requirements during this transition is a challenge. In this thesis we address the management of the USMC Hornet inventory by developing, implementing, and testing an integer linear program called Hornet Assignment Sundown Model (HASM). HASM prescribes each individual Hornets monthly squadron assignment, utilization, maintenance, storage, and retirement over its remaining service life while ensuring each squadron satisfies (to the extent possible) monthly flight hour requirements. To test HASM, this thesis develops forecasts of monthly squadron flight hour requirements and readiness rates from randomly and uniformly generated values using median performance with noise as inputs. Computational analysis using unclassified information on the USMC Hornet inventory demonstrate HASMs ability to illustrate the impact of management strategies on meeting future requirements. This thesis identifies future shortfalls and assesses requirement reductions to mitigate them so that resources can be applied to efficiently and effectively preserve the combat capability of the Marine Corps Air Ground Task Force.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2016
Accession Number
AD1026880

Entities

People

  • Gregory T. Zerr

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Aerial Warfare
  • Aircraft Equipment
  • Aircrafts
  • Airframes
  • Attack Aircraft
  • Bomber Aircraft
  • Fighter Aircraft
  • Integer Programming
  • Linear Programming
  • Maintenance
  • Marine Corps
  • Military Aircraft
  • Military Aviation
  • Operations Research
  • Optimization
  • United States
  • Warfare

Readers

  • Aviation Science / Aeronautics.
  • Logistics and Supply Chain Management.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.