Dissertation Defense Background Definitions

The following definitions are a handy reference for those watching the livestream of my dissertation defense.

RAP = Risk and Rationale Assessment Program
DDP = Defect Detection and Prevention
JPL = Jet Propulsion Laboratory
FMEA = Failure Modes and Effects Analysis
FTA = Fault Tree Analysis
CDC = Collaborative Design Center
DOSPERT = Domain-Specific Risk Taking
E-DOSPERT = Engineering Domain-Specific Risk Taking
RBD = Reliability Block Diagrams
RPN = Risk Priority Number
IRB = Institutional Review Board
ETA = Event Tree Analysis

For further information, please visit www.douglasvanbossuyt.com/portfolio or contact Douglas at douglas.vanbossuyt@gmail.com.

April 25, 2012July 4, 2020

Dissertation Defense Live Feed

For those interested in viewing my defense live, you may join me in Covell Hall 117 on the Oregon State University campus at 1pm PDT on April 26, 2012 (tomorrow!) or you may watch live online at: http://oregonstate.adobeconnect.com/vanbossuyt_defense/ (use the guest login).

The dissertation abstract is available here. Background definitions useful for those attending the live webcast are available here.

April 22, 2012

Doctoral Dissertation Defense Announcement

A Risk-Informed Decision Making Framework for Early-Phase Conceptual Design of Complex Systems

By Douglas Van Bossuyt

Candidate for Doctor of Philosophy in Mechanical Engineering

Abstract

A gap exists in the methods used in industry and available in academia that prevents customers and engineers from having a voice when considering engineering risk appetite in the dynamic shaping of early-phase conceptual design trade study outcomes. Current methods used in Collaborative Design Centers either collect risk information after a conceptual design has been created, treat risk as an afterthought during the trade study process, or do not consider risk at all during the creation of conceptual designs. This dissertation proposes a risk-informed decision making framework that offers a new way to account for risk and make decisions based upon risk information within conceptual complex system design trade studies. A meaningful integration of the consideration of risk in trade studies is achieved in this framework thus elevating risk to the same level as other important system-level design parameters. Trade-offs based upon risk appetites of individuals are explicitly allowed under the framework, enabled by an engineering-specific psychometric risk survey that provides aspirational information to use in utility functions. This dissertation provides a novel framework and supporting methodologies for risk-informed design decisions and trades to be made that are based upon engineering risk appetites in conceptual design trade studies.

Category: School