Illuminating Tradespace Decisions Using Efficient Experimental Space-Filling Designs for the Engineered Resilient System Architecture

Abstract

System Engineers rely on a variety of models to help understand different viewpoints in several domains throughout a system's life-cycle. These domain models include operational simulations, life-cycle cost models, physics-based computational models, and many more. Currently, there is a technical gap with regard to our ability to untangle the system design drivers within these system life-cycle domains. This technical report proposes a procedural workflow that addresses the technical gap by leveraging the methods of experimental design in order to clearly identify tradable variables and narrow the search for viable system variants.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2015
Accession Number
AD1007274

Entities

People

  • Alex Maccalman
  • Coleman Grider
  • Hunter Wood
  • Hyangshim Kwak
  • Mary Mcdonald
  • Paul Evangelista
  • Robert Hill
  • Steve Upton

Tags

Communities of Interest

  • Autonomy
  • Engineered Resilient Systems
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Complex Systems
  • Computational Science
  • Computer Programming
  • Computers
  • Data Mining
  • Engineers
  • Experimental Design
  • Information Science
  • Model Based Systems Engineering
  • Operations Research
  • Predictive Modeling
  • Spreadsheet Software
  • Systems Engineering
  • Test And Evaluation
  • United States Military Academy
  • Unmanned Aerial Vehicles

Fields of Study

  • Computer science

Readers

  • Life Cycle Cost Analysis
  • Military Science and Technology Research and Modernization.
  • Theoretical Analysis.

Technology Areas

  • Space