Set-Based Design: Fleet Architecture and Design 2030-2035

Abstract

This report outlines a design methodology and provides a recommendation for an alternative fleet architecture to the United States naval force for 20302035. While there are many methods and techniques to generate future fleet alternatives, Set-Based Design (SBD) is used in this report to generate a future fleet architecture. SBD principles maintain multiple requirements and leave design options open late into the development cycle without committing to any specific designs. The purpose of leaving multiple design options open until the very end is to reduce the amount of rework and cost overruns if requirements change. As the design timeline concludes, SBD uses empirical data to collapse focus to the final design solution.To implement SBD in this report, the team developed a computer model to optimize ship and platform choices simultaneously across eight critical warfare areas based on multiple user defined inputs. This theoretical optimized fleet is measured against unique measures of effectiveness to verify its validity for future operations. This method of analysis proposes a future fleet architecture consisting of 297 fighting ships, 88 Military Sealift Command ships, and 566 unmanned vehicles.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2017
Accession Number
AD1053457

Entities

People

  • Brandon Nichols
  • Carlos Maldonado
  • David Alessandria
  • Eric Clow
  • Isa Al-jawder
  • Jeremiah Medina
  • Timothy Uchida

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Electronic Warfare
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Boats
  • Guided Missile Ships
  • Marine Transportation
  • Naval Operations
  • Naval Warfare
  • Navy
  • Nuclear Propulsion
  • Submarine Warfare

Readers

  • Distributed Systems and Data Platform Development
  • Naval Architecture and Marine Engineering.
  • Software Engineering.

Technology Areas

  • Autonomy
  • Autonomy - UAVs