Resilient Acquisition: Unlocking High Velocity Learning with Model Based Engineering to Deliver Capability to the Fleet Faster

Abstract

As the nations security needs call for a growing naval fleet, the public-private industrial base for construction and weapon systemacquisition will be stressed to perform at a high level of operational excellence. Underperformance in defense acquisitions is foundto be caused by complexity, uncertainty, and risk manifested through poor requirements that are unadaptable to the changing realityof the global security landscape. This thesis hypothesizes that use of model-based engineering (MBE) will enable the neededefficiency and responsiveness. This thesis demonstrates real-world and original examples of MBE consisting of digital toolsmotivated by the principles of traceability and high-velocity design iteration that collectively connect requirements to technicalspecifications in a model-centric format.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2019
Accession Number
AD1080505

Entities

People

  • Travis J. Rapp

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Cyber
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Ballistic Missiles
  • Boats
  • Computational Science
  • Configuration Management
  • Control Systems
  • Cyberattacks
  • Defense Systems
  • Engineers
  • Health Services
  • Industrial Plants
  • Littoral Combat Ships
  • Marine Transportation
  • Materials
  • Mechanical Engineering
  • Medical Personnel
  • Military Aircraft
  • Model Based Systems Engineering
  • National Security
  • Naval Operations
  • Naval Warfare
  • Navy
  • Shipbuilding
  • Space Systems
  • System Of Systems
  • Systems Engineering
  • Systems Modeling Language
  • Test And Evaluation

Readers

  • Economics
  • Maritime and Naval Warfare Studies
  • Software Engineering.