A Capability-Based Approach to Analyzing the Effectiveness and Robustness of an Offshore Patrol Vessel in the Search and Rescue Mission

Abstract

In this thesis, a model of effectiveness for an offshore patrol vessel conducting search and rescue missions is developed and described. Beginning with a brief overview of work done by colleagues from the University of Genoa, Italy, as well as documents currently in use by the United States Navy and Coast Guard for search and rescue, this thesis explores the link between physical ship design factors and operational effectiveness by developing the Naval Postgraduate School Search (NPSS) model. The methodology included developing the NPSS search model and then using an enhanced experimental design to explore how operational noise factors, along with physical ship characteristics, affect the effectiveness of search and rescue. Operational noise factors include visibility, wind direction, distance to the last known datum, the uncertainty radius of the last known datum, and other environmental factors. Physical ship characteristics include the ship's maximum speed, the number of helicopters onboard, and the number of unmanned aerial vehicles onboard. Four metamodels are developed to show which factors have the greatest impact on the performance of the ship as a function of cumulative probability detection threshold in a search and rescue mission.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2012
Accession Number
ADA573579

Entities

People

  • Mohammad J. Ashpari

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Aircrafts
  • Coast Guard
  • Detection
  • Experimental Design
  • Fixed Wing Aircraft
  • Helicopters
  • Naval Operations
  • Naval Warfare
  • Navy
  • Operational Effectiveness
  • Rotary Wing Aircraft
  • Search And Rescue
  • Ship Design
  • Spreadsheet Software
  • Statistical Analysis
  • United States
  • Unmanned Aerial Vehicles

Readers

  • Computational Modeling and Simulation
  • Maritime Security/Maritime Homeland Security

Technology Areas

  • Autonomy