Analysis of Mission Effectiveness: Modern System Architecture Tools for Project Developers

Abstract

Fail early, fail often, but ensure that when failure occurs, a learning period is part of the systems development process. Understanding the reasons a system can fail during the development process is key to maximizing mission effectiveness. Would it not be valuable to have a process that allows the designers to recognize when a system is failing to meet the users requirements early in the development process? Furthermore, would it not be useful for that process to be iterative, to allow the impacts of changes to be seen in real-time, as the concept is defined and the system is designed? What would it be worth to have the ability to accomplish this inside the engineering safety net of Model-Based Systems Engineering? This research shows an alternative process to classic systems engineering and optimization analysis, where system design decisions are statically and dynamically modeled in a Model-Based Systems Engineering environment and what if types of changes are answered and analyzed using embedded simulation. This research demonstrates the process with the use case of a highly relevant real world problem of countering the threat of small commercial unmanned systems to the security of naval installations.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2017
Accession Number
AD1053374

Entities

People

  • Thomas E. Moulds

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Cognitive Systems Engineering
  • Command And Control
  • Complex Systems
  • Control Systems
  • Detection
  • Engineering
  • Engineers
  • Model Based Systems Engineering
  • Operations Research
  • Risk Analysis
  • Simulations
  • System Of Systems
  • Systems Engineering
  • Systems Modeling Language
  • Test And Evaluation
  • Unmanned Aerial Systems
  • Unmanned Systems

Fields of Study

  • Computer science
  • Engineering

Readers

  • Military History of the United States in the 20th Century.
  • Software Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy