Doctoral Dissertations

Keywords and Phrases

Clustering; Interface Analysis; Risk Assessment

Abstract

“Interface analysis and integration risk assessment for a large-scale, complex system is a difficult systems engineering task, but critical to the success of engineering systems with extraordinary capabilities. When dealing with large-scale systems there is little time for data gathering and often the analysis can be overwhelmed by unknowns and sometimes important factors are not measurable because of the complexities of the interconnections within the system. This research examines the significance of interface analysis and management, identifies weaknesses in literature on risk assessment for a complex system, and exploits the benefits of soft computing approaches in the interface analysis in a complex system and in the risk assessment of system integration readiness. The research aims to address some of the interface analysis challenges in a large-scale system development lifecycle such as the ones often experienced in aircraft development. The resulting product from this research is contributed to systems engineering by providing an easy-to-use interface assessment and methodology for a trained systems engineer to break the system into communities of dense interfaces and determine the integration readiness and risks based on those communities. As a proof of concept this methodology is applied on a power seat system in a commercial aircraft with data from the Critical Design Review”--Abstract, page iv.

Advisor(s)

Corns, Steven

Committee Member(s)

Dagli, Cihan H., 1949-
Kwasa, Benjamin J.
Long, Suzanna, 1961-
Low, Lesley
Pernicka, Henry J.

Department(s)

Engineering Management and Systems Engineering

Degree Name

Ph. D. in Systems Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2021

Journal article titles appearing in thesis/dissertation

  • SOS explorer application with fuzzy-genetic algorithms to assess an enterprise architecture -- A healthcare case study
  • A cluster-based framework for interface analysis in large-scale aerospace systems
  • Fuzzy-risk assessment methodology for large-scale systems

Pagination

xii, 89 pages

Note about bibliography

Includes bibliographic references.

Rights

© 2021 Josh Henry Goldschmid, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11895

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