Clustering organization structure in product development projects using similarity

Na Yang, Qing Yang, Tao Yao

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

1 Scopus citations

Abstract

A product development (PD) project is a complex social network, in which teams have their own attributes and are related by information flow. Similar team attributes and the complex patterns of technical dependency among teams both affect organization modularity. This paper provides an innovative spectral clustering approach that merge team attributes and relationship of teams. To measure the similarity of PD teams, we analyze the similar attributes of team and build structural models to capture the technical communication dependency among teams via the product-organization multi-domain matrix (MDM). We use two metrics to evaluate the clustering solutions and confirm that the proposed approach provides effective reduction of PD coordination complexity.

Original languageEnglish (US)
Title of host publicationProceedings of the 20th International Dependency and Structure Modeling Conference, DSM 2018
EditorsLucia Becerril, Carlo Leardi, Tyson R. Browning, Steven D. Eppinger
PublisherLehrstuhl fur Produktentwicklung und Leichtbau
Pages59-66
Number of pages8
ISBN (Electronic)9783000574924
StatePublished - 2018
Event20th International Dependency and Structure Modeling Conference, DSM 2018 - Trieste, Italy
Duration: Oct 15 2018Oct 17 2018

Publication series

NameProceedings of the 20th International Dependency and Structure Modeling Conference, DSM 2018

Conference

Conference20th International Dependency and Structure Modeling Conference, DSM 2018
Country/TerritoryItaly
CityTrieste
Period10/15/1810/17/18

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction

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