Rapid Runway Repair (RRR): An Optimization for Minimum Operating Strip (MOS) Selection

Abstract

Minimum Operating Strip (MOS) selection determines the exact placement of the MOS on the damaged runway, and therefore, the amount of munitions that need to be neutralized and the amount of damage that will need to be repaired. MOS selection, in essence, is the key determinant of the time required to attain an operational takeoff and recovery surface. Since the MOS selection stage determines the events and scope of work for all of the Rapid Runway Repair (RRR) stages that follow, it could be argued that this is the most important stage in the entire RRR process. The primary purpose of this research was to evaluate the application of a decision analysis methodology for the selection of a MOS during the RRR process. The secondary purpose was to determine the effect of additional considerations on both the MOS selected and the repair time. MOSs selected utilizing the outlined methodology were compared to a MOS selected using the current USAF method. Results showed that additional considerations have an impact on both MOS selection and time to repair. Results also showed that the outlined methodology selected a MOS with a shorter repair time, despite additional damage, than the MOS selected using the current USAF method.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2007
Accession Number
ADA467547

Entities

People

  • David A. Duncan

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Civil Engineering
  • Composite Materials
  • Computer Programs
  • Computers
  • Concrete
  • Construction
  • Department Of Defense
  • Engineering
  • Engineers
  • Field Tests
  • Foreign Object Damage
  • Military Aircraft
  • Military Science
  • Navigational Aids
  • Weapons

Fields of Study

  • Engineering

Readers

  • Molecular Genetics
  • Naval Personnel Management
  • Systems Analysis and Design