Multi-domain Knowledge Integration And Organizational Clustering In Product Development Project

DS 112: Proceedings of the 23rd International DSM Conference (DSM 2021), Montréal, Canada, October, 12 - 14, 2021

Year: 2021
Editor: Harold (Mike) Stowe; Tyson R. Browning; Steven D. Eppinger; Jakob Trauer
Author: Chang, Mingxing; Yang, Qing; Wang, Qinru
Series: DSM
Institution: School of Economics and Management, University of Science & Technology Beijing, China
DOI number: 10.35199/dsm2021.4

Abstract

Product development project is a complex system involving customer needs, product functions and components, organization and other different knowledge fields. In order to design a suitable product, this article constructs a function-product DMM, ""Team-Function-Product"" EDMM further analyzes the dependency relationship between the three, and further combines functional DSM and product DSM to establish an extended multi-domain matrix, and constructs a derivation model of organizational DSM. Then, in order to reduce the complexity of organization management, an improved two-stage organization clustering model based on information entropy is constructed, and the criteria for maximizing the ""increased average intra-external dependence intensity ratio"" and minimizing the ""organization weighted information entropy"" are proposed to optimize the organizational structure.

Keywords: project management, dependency structure matrix (DSM), multi-domain Matrix (MDM), entropy, clustering

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