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

Sebastian Schweigert-Recksiek, Agzam Idrissov, Tilak Bharadwaj, Anja M Maier, Udo Lindemann

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

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.
Original languageEnglish
Title of host publicationProceedings of the 22nd International Dependency and Structure Modeling Conference
EditorsHarold (Mike) Stowe, Tyson R. Browning, Steven D. Eppinger, Jakob Trauer
Place of PublicationGlasgow
Number of pages10
DOIs
Publication statusPublished - 15 Oct 2020
Event22nd International Dependency and Structure Modelling Conference - Online, Cambridge, Massachusetts, United States
Duration: 13 Oct 202015 Oct 2020
https://www.designsociety.org/1016/22nd+International+Dependency+and+Structure+Modelling+Conference+%28DSM+2020%29

Conference

Conference22nd International Dependency and Structure Modelling Conference
Abbreviated titleDSM 2020
Country/TerritoryUnited States
CityCambridge, Massachusetts
Period13/10/2015/10/20
Internet address

Keywords

  • modelling of socio-technical systems
  • complex development processes
  • graph analysis
  • MDM
  • DMM

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