Faced with exponential growth in complexity and interdependency, systems engineering practitioners must adopt novel approaches for architecting emergent system attributes to ensure effective designs. However, key attributes such as system robustness and reliability continue to rely on predominately qualitative and experiential assessment methods. This tutorial will demonstrate the application of a quantitative, model-based approach to the failure mode analysis (FMA) of a notional space system. The traditional FMA process will be augmented with a state-based failure mode analysis using a descriptive model-based architecture. A coupled shared systems simulation model will be utilized for system-level impact analyses of the failure modes, to inform their severity rating and generate a risk priority number. The tutorial will conclude by highlighting the method’s benefits at the enterprise level, including improvements in cross-organization FMA consistency, comparability, and resource prioritization.
Jeremy Ross is a research engineer at Ford Motor Company in Dearborn, Michigan, where he applies model-based systems engineering methods to electrified vehicles and automated-driving systems. He is also an adjunct professor at the University of Detroit Mercy, with an instructional focus in model-based systems engineering. He holds degrees from the University of Michigan in Mechanical Engineering (BSE, MSE) and from the University of Detroit Mercy in Product Development (MS) with a Systems Engineering certificate.