Abstract
Structural complexity metrics provide information about the structure of technical and socio-technical systems, represented as networks. However, calculating multiple metrics of a network manually requires a lot of time and effort. Thus, to increase the efficiency in structural complexity management, a tool in Soley Studio is proposed that performs analyses of complex networks automatically. This tool analyses socio-technical systems networks using a set of structural metrics and supports the visualization of the results. Here, three of the structural metrics implemented are presented in depth and applied to a case study of an electrical Formula Student racing car.
Original language | English |
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Title of host publication | Proceedings of the 20th International Dependency and Structure Modeling Conference, DSM 2018 |
Editors | Lucia Becerril, Carlo Leardi, Tyson R. Browning, Steven D. Eppinger |
Place of Publication | Glasgow |
Publisher | Design Society |
Pages | 203-213 |
Number of pages | 11 |
ISBN (Electronic) | 978-3-00-057492-4 |
Publication status | Published - 2018 |
Event | 20th International Dependency and Structure Modeling Conference, DSM 2018 - Trieste, Italy Duration: 15 Oct 2018 → 17 Oct 2018 |
Conference
Conference | 20th International Dependency and Structure Modeling Conference, DSM 2018 |
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Country/Territory | Italy |
City | Trieste |
Period | 15/10/18 → 17/10/18 |
Keywords
- Structural complexity management
- Structural metrics
- Graph-based analysis
- Product development
- Communication
- Product Development
- Graph-based Analyses
- Structural Metrics
- Structural Complexity Management