Wrestling the Digital Genie: A Tutorial on Model-Based Architectural Analysis

Wrestling the Digital Genie: A Tutorial on Model-Based Architectural Analysis

June 8, 2022 from 10:00 am to 10:45 am

Speaker: Jeremy Ross, University of Detroit Mercy

Organizations continue to adopt model-based digital engineering methods to tame the storm of information related to the development, operation, and sustainment of modern cyber-physical systems. However, even when a digital ecosystem and stakeholder participation are established, the execution of digital engineering tasks remains challenging. Not only must an organization’s culture shift (from process-centric thinking to outcome-centric), but practitioners must identify best practices from the multitude of possible approaches and combinations of tools.

This tutorial will focus on the mechanics of a shared system simulation methodology through the analysis of a notional human lunar habitat (moon base) architecture. It will demonstrate the need for a robust, validated descriptive SysML architecture to capture design intent and the use of that model to support coupled, automated system simulations and trade study analyses. The strengths and weaknesses of the toolchain will be discussed, and attendees will be presented with several alternative methods for architecture configuration and trade study stewardship with design instances.

Speaker Bio:

Jeremy Ross is a powertrain systems engineer at Ford Motor Company in Dearborn, MI, and an adjunct instructor at the University of Detroit Mercy, where his instructional focus is the application of Model-Based Systems Engineering (MBSE) methods in the systems simulation realm. He holds degrees in Mechanical Engineering (BSE, MSE) from the University of Michigan and in Product Development (MS) with a Systems Engineering graduate certificate from the University of Detroit Mercy. A recent alumnus of Detroit Mercy’s Master of Product Development program, his thesis titled Applying MBSE Methods to a Novel Shared Systems Simulation Methodology explored coupling a descriptive model-based architecture to the detailed systems engineering phase through a digital, shared systems model.