Human Digital Twin and Modeling Guidebook

Abstract

Model Based Systems Engineering is rapidly being adopted to aid the design and early evaluation of engineered systems (Delligatti, 2013; Friedenthal et al., 2014). More importantly, these tools are quickly being adopted by the United States Department of Defense and their contractors with the goal of increasing the rate of product acquisition and reducing system sustainment costs (Roper, 2020).

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Document Details

Document Type
Technical Report
Publication Date
Dec 19, 2022
Accession Number
AD1188552

Entities

People

  • Michael Miller

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Cognitive Systems Engineering
  • Digital Twins
  • Health Services
  • Human Behavior
  • Human Factors Engineering
  • Human Performance
  • Human Systems Integration
  • Human-Computer Interaction
  • Industrial Engineering
  • Materials
  • Medical Personnel
  • Model Based Systems Engineering
  • Motor Skills
  • Psychology
  • Situational Awareness
  • System Of Systems
  • Systems Engineering
  • Systems Modeling Language
  • Task Performance And Analysis
  • Virtual Reality
  • Wounds And Injuries

Readers

  • Computational Modeling and Simulation
  • Defense Acquisition Program Management
  • Facility/Structural Engineering.