Graph-based collaboration analysis of an agile medical engineering project with structural metrics

Schweigert-Recksiek, Sebastian and Idrissov, Agzam and Bharadwaj, Tilak and Maier, Anja M and Lindemann, Udo; Stowe, Harold (Mike) and Browning, Tyson R. and Eppinger, Steven D. and Trauer, Jakob, eds. (2020) Graph-based collaboration analysis of an agile medical engineering project with structural metrics. In: Proceedings of the 22nd International Dependency and Structure Modeling Conference. The Design Society, USA. ISBN 9781912254125 (https://doi.org/10.35199/dsm2020.20)

[thumbnail of Schweigert-Recksiek-etal-IDSMC-2021-Graph-based-collaboration-analysis-of-an-agile-medical-engineering-project-with-structural-metrics]
Preview
 Text. Filename: Schweigert_Recksiek_etal_IDSMC_2021_Graph_based_collaboration_analysis_of_an_agile_medical_engineering_project_with_structural_metrics.pdf
Final Published Version
Download (2MB)| Preview

Abstract

Agile development approaches are gaining popularity in hardware product development and medical engineering. Consequently, techniques of structural complexity management can be applied on agile projects. This paper analyses the collaboration data of a twelve-month project to design a 3D-printed microtiter plate. Exchanged e-mails, created artifacts, and conducted tasks were analyzed to identify typical barriers of inter-disciplinary collaboration. Appropriate improvement measures to overcome these barriers were suggested and evaluated in a four-hour workshop with members of the core team of the project. As a result, out of the collaboration network with 851 nodes and 9001 edges, six main barriers were identified. The most hindering barriers according to the experts' opinion were matched with appropriate improvement measures. After an assessment of the cost/benefit ratio, two measures were chosen for implementation.

CORE (COnnecting REpositories)