• DocumentCode
    3746981
  • Title

    Improving MBSE models using human performance simulation

  • Author

    Michael Watson;Christina Rusnock;Michael Miller;John Colombi

  • Author_Institution
    Department of Systems Engineering and Management, Air Force Institute of Technology, 2950 Hobson Way, Wright-Patterson Air Force Base, OH 45433, USA
  • fYear
    2015
  • Firstpage
    3226
  • Lastpage
    3227
  • Abstract
    It is important to recognize the human as an integral part of the system and its performance during systems development. However, systems engineers (SEs) currently fail to properly integrate the human into the system. This research aimed to improve system models by incorporating the human into modeling efforts. A set of Model-Based Systems Engineering (MBSE) models were created to describe an example scenario involving a virtual remotely-piloted aircraft simulation. When creating the models, some assumptions were made about the human from a SE´s perspective. In order to verify if these assumptions were realistic, a human-focused model of the system was created using the Improved Performance Research Integration Tool (IMPRINT). Running simulations in IMPRINT uncovered fallacies in some of these assumptions, thus demonstrating the value of incorporating the human into system models and reemphasizing the human as part of the system.
  • Keywords
    Atmospheric modeling
  • Publisher
    ieee
  • Conference_Titel
    Winter Simulation Conference (WSC), 2015
  • Electronic_ISBN
    1558-4305
  • Type

    conf

  • DOI
    10.1109/WSC.2015.7408482
  • Filename
    7408482