Date of Award

Summer 2009

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Engineering Management

Committee Director

C. Ariel Pinto

Committee Member

Charles B. Keating

Committee Member

Resit Unal

Committee Member

Joost R. Santos

Abstract

This work formulates an analytical framework and computational model for assessing risk in engineering enterprise systems. It addresses the engineering management problem of how to represent, model, and measure risk in large-scale, complex systems engineered to function in enterprise-wide environments.

The research in this dissertation extends current practice in the management of risk for traditional systems and creates new constructs and protocols for the management of risk in engineering large-scale, complex, and highly networked enterprise systems. This work advances engineering management theory and analytic practice as applied to the measurement and management of risk for enterprise systems engineered within capability portfolio paradigms.

DOI

10.25777/k951-jw92

ISBN

9781109331325

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