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CLUSTERING ORGANIZATION STRUCTURE IN PRODUCT DEVELOPMENT PROJECTS USING SIMILARITY

Yang, Na (1); Yang , Qing (1); Yao, Tao (2)


Type:
Year:
2018
Editor:
Leardi, Carlo; Browning, Tyson R.; Eppinger, Steven D.; Becerril, Lucia 
Author:
Series:
DSM
Institution:
1: School of Economics and Management, University of Science & Technology Beijing, China; 2: The Harold & Inge Marcus Department of Industrial & Manufacturing Engineering, Pennsylvania State University, USA
Section:
Complex Organizations
Page(s):
059-066
ISBN:
978-3-00-057492-4
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.
Keywords:

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