A Model-Based Systems Engineering Methodology for Employing Architecture In System Analysis: Developing Simulation Models Using Systems Modeling Language Products to Link Architecture and Analysis

Abstract

This dissertation contributes to model-based systems engineering (MBSE) by formally defining an MBSE methodology for employing architecture in system analysis (MEASA) that presents a comprehensive framework detailing the relationship between system architecture products and external models and simulations used to analyze system performance and feasibility. Specifically, the research combines the use of Systems Modeling Language (SysML) products and operational simulation models to support assessment of system requirements for systems engineering. The MBSE MEASA transforms operational needs into preferred system configurations through the analysis of detailed simulation models. The research does this by using designed experiments to generate architecture tradespace visualizations that highlight the impact that system design parameters, system-environment interactions, system operational implementation, and system component interactions have on system performance. The research demonstrates a procedure for iterations of the methodology when analysis suggests potentially impactful design, operational, or environmental variables (as well as potential interactions between those variables). The research develops and analyzes notional architecture products and simulation models of United States Navy mine warfare systems to demonstrate an application of the MBSE MEASA.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2016
Accession Number
AD1026108

Entities

People

  • Paul T. Beery

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Command And Control
  • Control Systems
  • Engineering
  • Engineers
  • Information Processing
  • Management Personnel
  • Mechatronic Engineering
  • Model Based Systems Engineering
  • Operations Research
  • Organizational Structure
  • Regression Analysis
  • Software Development
  • Spiral Development
  • System Of Systems
  • Systems Engineering
  • Systems Modeling Language
  • Test And Evaluation

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computational Modeling and Simulation
  • Software Engineering.