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Improving organization design by clustering project actors

  • American University of Beirut
  • American University of the Middle East

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper proposes to cluster project actors (i.e., members) to form complementary teams based on their interactions and interdependencies with each other. First, the Design Structure Matrix (DSM) is used to model the interactions between project members, which are based on the number of deliverables exchanged between them. Then, an agglomerative clustering technique is proposed to place the project members into groups. The algorithm permits management to impose certain restrictions on team formations, such as the number and maximum size of the teams, which members must be placed together, and which members must be kept apart. Most importantly, the algorithm allows cyclic information exchanges (i.e., loops) to be inserted into team clusters. It produces as output the recommended team formations, as well as the percentage of the total number of interactions that occur within the clustered teams. The proposed clustering method is illustrated using data collected from a vehicle development project at a large European automotive company.

Original languageEnglish
Title of host publication30th International Conference on Design Theory and Methodology
ISBN (Electronic)9780791851845
DOIs
StatePublished - 2018
EventASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2018 - Quebec City, Canada
Duration: 26 Aug 201829 Aug 2018

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume7

Conference

ConferenceASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2018
Country/TerritoryCanada
CityQuebec City
Period26/08/1829/08/18

Keywords

  • Design structure matrix
  • Impacts propagation
  • Network clustering
  • Project organization

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