Transforming Systems Engineering through Model-Centric Engineering

Abstract

This is the final technical report of the Systems Engineering Research Center (SERC) research task RT-170. This research task (RT) addresses research needs extending prior efforts under RT-48/118/141/157 that informed us that Model-Centric Engineering1 (MCE) is in use and adoption seems to be accelerating. Model-centric engineering can be characterized as an overarching digital engineering approach that integrates different model types with simulations, surrogates, systems and components at different levels of abstraction and fidelity across disciplines throughout the lifecycle. Industry is trending towards more integration of computational capabilities, models, software, hardware, platforms, and humans-in-the-loop. The integrated perspectives provide cross-domain views for rapid system level analysis allowing engineers from various disciplines using dynamic models and surrogates to support continuous and often virtual verification and validation for tradespace decisions in the face of changing mission needs.

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Document Details

Document Type
Technical Report
Publication Date
Feb 28, 2018
Accession Number
AD1048002

Entities

People

  • Adam Baker
  • Benjamin Kruse
  • Deva Henry
  • John Dzielski
  • Leonard Petnga
  • Maria Coelho
  • Mark Austin
  • Mark Blackburn
  • Marlin Ballard
  • Mary Bone
  • Paul Grogan
  • Ralph Giffin
  • Robert Hathaway
  • Russell Peak
  • Stephen Edwards
  • Steven Hoffenson

Organizations

  • Georgia Tech
  • Stevens Institute of Technology
  • University of Maryland

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Cyber
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Coding
  • Cognitive Science
  • Computational Fluid Dynamics
  • Computational Science
  • Computers
  • Digital Data
  • Digital Engineering
  • Digital Information
  • Engineers
  • Failure Mode And Effect Analysis
  • Identification
  • Information Systems
  • Jet Propulsion
  • Metadata
  • Model Based Systems Engineering
  • Notation
  • Simulations
  • Software Development
  • System Of Systems
  • Systems Engineering
  • Systems Modeling Language
  • Test And Evaluation

Fields of Study

  • Computer science
  • Engineering

Readers

  • Software Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.