Naval ship design-process analysis through dynamic social networks

Anagnostopoulos, Georgios and Kaklis, Panagiotis (2024) Naval ship design-process analysis through dynamic social networks. Ship Technology Research, 71 (2). pp. 190-198. ISSN 0937-7255 (https://doi.org/10.1080/09377255.2023.2250648)

[thumbnail of Anagnostopoulos-Kaklis-STR-2023-Naval-ship-design-process-analysis]
Preview
 Text. Filename: Anagnostopoulos-Kaklis-STR-2023-Naval-ship-design-process-analysis.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (2MB)| Preview

Abstract

Modern naval ship design is increasing in complexity as more and more systems are incorporated into the design process, leading to an increase in the number (and interdependence) of tasks that designers need to complete and progress through the design stages. This work develops a dynamic bipartite social network representation, separating the nodes in activities and individuals, with the aim to analyse and draw conclusions regarding the design process. A dynamic time-dependent graph (TDG) is constructed with the use of a presence function for the edges. Network properties (density, clustering, active tasks/designers) are expressed as functions of time, and node-wise metrics (centralities) reveal the key role of individuals in the naval ship design process, which is heavily-crowded with respect to tasks. Furthermore, application of the model to naval ship design data reveals interesting insights regarding the impact of COVID-19 and the design company’s adopted hiring policy.

CORE (COnnecting REpositories)