Operations Research, Systems Engineering and Industrial Engineering Commons^™

An Analytical Framework And Model Formulation For Measuring Risk In Engineering Enterprise Systems: A Capability Portfolio Perspective, Paul Raphael Garvey

Engineering Management & Systems Engineering Theses & Dissertations

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 …

Reconciling Discontinuities And Disruptions: The Construction Of An Integrated Typology, David Jeffery Kern

Engineering Management & Systems Engineering Theses & Dissertations

Radical innovations are often characterized by a rapid shift from one dominant design to another. The theories of discontinuous and disruptive innovation present two important and independent explanations for why these shifts occur. This research tests the usefulness of combining these two theories into a single integrated typology. First, a typology is constructed that classifies shifts in dominant designs according to the theories of discontinuous and disruptive innovation. Next, the usefulness of this typology is tested with a taxonomy derived from 100 randomly selected shifts in dominant designs from across a broad range of industries. This research reconciles the theories …

A Study Of Decision Analysis Methods In Aerospace Technology Assessments, Sharon Monica Jones

Engineering Management & Systems Engineering Theses & Dissertations

Managers of aerospace technology programs and projects are faced with the challenge of making technology portfolio decisions under conditions of limited data, rapidly changing macro level factors and organizational uncertainties. To help make these technology investment decisions, some aerospace managers and analysts have used techniques from the field of decision analysis. In addition, there have been a limited number of research studies of real decision problems.

This dissertation presents the results of a non-experimental examination of the use of decision analysis methods for the assessment of aerospace technology portfolios. A web-based survey instrument was developed based on the results of …

Investigating The Relationship Between An It Project Manager's Emotional Intelligence And The Customer's Perception Of Success, William Jacob Lamarsh Ii

Engineering Management & Systems Engineering Theses & Dissertations

This research focuses on the intersections of Project Management, Information Technology (IT), and Emotional Intelligence. The Project Management Institute (PMI) created the Project Management Professional (PMP) certification, which is one of the most highly regarded and sought after professional certifications (Project Management Institute 2005, p. 15-18). This certification acknowledges the holder as a knowledgeable practitioner in Project Management. The purpose behind Project Management is to obtain requirements, sometimes fluid at best, and develop solutions that are traceable by schedule and cost controls. This approach allows a Project Manager to monitor and control the project through successful completion. However, the PMI …

An Integrated Probability-Based Approach For Multiple Response Surface Optimization, Okay Isik

Engineering Management & Systems Engineering Theses & Dissertations

Nearly all real life systems have multiple quality characteristics where individual modeling and optimization approaches can not provide a balanced compromising solution. Since performance, cost, schedule, and consistency remain the basics of any design process, design configurations are expected to meet several conflicting requirements at the same time. Correlation between responses and model parameter uncertainty demands extra scrutiny and prevents practitioners from studying responses in isolation. Like any other multi-objective problem, multi-response optimization problem requires trade-offs and compromises, which in turn makes the available algorithms difficult to generalize for all design problems. Although multiple modeling and optimization approaches have been …