Using Dependency structure models for ranking critical components in product architectures

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Dependency structure models, or their equivalent dependency network models, can be analyzed for identifying critical components of a product architecture - elements within the architecture that, if changed, can have a significant impact on the rest of the system. In this paper we propose a discrete-time Markov chain-based algorithm to analyze dependency structure models of several product architectures to not only identify but also rank such components in order of their criticality. Identifying and ranking these elements allows prudent allocation of resources on a project to mitigate any risks that result from changes made to an architecture as a product evolves. The results show that the proposed algorithm is more effective when compared to other algorithms, namely betweenness centrality, closeness centrality and eigenvalue centrality, that have been used on dependency network models to identify and rank critical components.

Original languageEnglish (US)
Title of host publicationProceedings of the 21st International Dependency and Structure Modeling Conference, DSM 2019
EditorsHarold Stowe, Tyson R. Browning, Steven D. Eppinger, Jintin Tran, Paulo Montijo
PublisherDesign Society
Pages69-78
Number of pages10
ISBN (Electronic)9781912254064
DOIs
StatePublished - Jan 1 2019
Event21st International Dependency and Structure Modeling Conference, DSM 2019 - Monterey, United States
Duration: Sep 23 2019Sep 25 2019

Publication series

NameProceedings of the 21st International Dependency and Structure Modeling Conference, DSM 2019

Conference

Conference21st International Dependency and Structure Modeling Conference, DSM 2019
Country/TerritoryUnited States
CityMonterey
Period9/23/199/25/19

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction

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