A network science-based assessment methodology for robust modular system architectures during early conceptual design
Paparistodimou, Giota and Duffy, Alex and Whitfield, Robert Ian and Knight, Philip and Robb, Malcolm (2020) A network science-based assessment methodology for robust modular system architectures during early conceptual design. Journal of Engineering Design, 31 (4). pp. 179-218. ISSN 1466-1837 (https://doi.org/10.1080/09544828.2019.1686469)
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Abstract
This article describes a methodology to assess, during the early conceptual design stage, the robustness, and modularity of engineering system architectures, which integrates concepts from network science with engineering systems. The application specifically focuses on the architecture of the power, propulsion, and cooling systems of a naval ship. The methodology incorporates a binary Design Structure Matrix as the basis for an assessment of redundancy and modularity effects on robustness, in response to disruption of modules in the architecture. Robustness is used to drive the module selection, which supports the formulation of a robust module configuration subject to the level of redundancy in the system architecture. The case study results demonstrated: redundancy promotes robustness of the architecture and enables modularity; however, high levels of redundancy in comparison to medium level redundancy does not significantly improve robustness. The novel contribution of this article relates to the combined quantitative assessment of redundancy, modularity and robustness in a collective methodology. This methodology supports conceptual design decision making, allowing early prediction of compliance of requirements that enable cost, development time and survivability targets to be achieved.
ORCID iDs
Paparistodimou, Giota ORCID: https://orcid.org/0000-0002-6902-4399, Duffy, Alex ORCID: https://orcid.org/0000-0002-5661-4314, Whitfield, Robert Ian ORCID: https://orcid.org/0000-0002-1065-0395, Knight, Philip ORCID: https://orcid.org/0000-0001-9511-5692 and Robb, Malcolm;-
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Item type: Article ID code: 70335 Dates: DateEvent2 April 2020Published28 October 2019Accepted1 February 2019SubmittedSubjects: Technology > Engineering (General). Civil engineering (General) > Engineering design Department: Faculty of Engineering > Design, Manufacture and Engineering Management
Strategic Research Themes > Advanced Manufacturing and Materials
Faculty of Science > Mathematics and StatisticsDepositing user: Pure Administrator Date deposited: 29 Oct 2019 10:40 Last modified: 11 Nov 2024 12:28 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/70335