Date of Award
3-2024
Document Type
Thesis
Degree Name
Master of Science in Systems Engineering
Department
Department of Systems Engineering and Management
First Advisor
Michael E. Miller, PhD
Abstract
The DOD emphasizes digital engineering using Model-Based Systems Engineering (MBSE), where MBSE includes SysML-based models of systems. Analysis of system impacts on the human operators and their performance typically occurs through non-MBSE approaches, if at all. One current process, considered the As-Is process for this research, evaluates human performance and workload using IMPRINT, a discrete event simulation (DES) tool. IMPRINT primarily exists as a standalone tool with limited built-in functionality to integrate with an MBSE tool. Using the HC-130J and its crew during a CSAR mission as the system, this research develops a generalizable and updateable human performance modeling architecture that combines SysML-based model development with a new To-Be process. The To-Be process creates a traceable process from the SysML-based model to IMPRINT, using a custom Excel tool that automatically organizes the data from the SysML-based model into an importable format for IMPRINT. Comparisons of the As-Is and To-Be process for both baseline and alternative models determined that the To-Be process is faster at creating the same baseline model than the As-Is process and also supports alternative model development with minimal manual rework by the modeler, while maintaining the SysML-based model as the authoritative source of truth.
AFIT Designator
AFIT-ENV-MS-24-M-164
Recommended Citation
Slimp, Stephanie G., "Human Performance Modeling Architecture with HC-130J Mission Application" (2024). Theses and Dissertations. 7797.
https://scholar.afit.edu/etd/7797
Comments
A 12-month embargo was observed for posting this work on AFIT Scholar.
Distribution Statement A, Approved for Public Release. PA case number on file.