TY - GEN
T1 - Improving organization design by clustering project actors
AU - Khoriaty, Anthony
AU - Jaber, Hadi
AU - Yassine, Ali A.
N1 - Publisher Copyright:
© Copyright 2018 ASME.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Design structure matrix
KW - Impacts propagation
KW - Network clustering
KW - Project organization
UR - http://www.scopus.com/inward/record.url?scp=85056850764&partnerID=8YFLogxK
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U2 - 10.1115/DETC2018-85340
DO - 10.1115/DETC2018-85340
M3 - Conference contribution
AN - SCOPUS:85056850764
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 30th International Conference on Design Theory and Methodology
T2 - ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2018
Y2 - 26 August 2018 through 29 August 2018
ER -