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Project Clustering and Risk Monitoring based on QFD and MDM

Wang, Qinru; Yang, Qing; Chang, Mingxing

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Type:
Papers
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:
Wang, Qinru; Yang, Qing; Chang, Mingxing
Series:
DSM
Institution:
School of Economics and Management, University of Science & Technology Beijing, China
DOI number:
10.35199/dsm2021.5
Abstract:
Projects are faced with various complex risks, and how to cluster management of projects with high risk management has become very important. Therefore, this article first constructs the dependency structure matrix (DSM) between risk events and risk factors, and uses the (Quality Function Development) QFD method to derive the risk event DSM matrix, and obtains the dependency relationship model between risk events then, builds the risk dependency relationship between the projects, through risk the event-project MDM derives the project DSM finally, the project DSM is optimized and analyzed by the clustering method, and the dependence intensity between the projects is calculated, and the project set with high risk correlation is obtained. This paper calculates the dependencies between projects from the perspective of risk, and clusters them according to the dependencies between the projects, and monitors the risks of the projects by gathering the projects with high risk dependence.
Keywords:
Risk management, Project management, DSM (Dependency Structure Matrix), MDM (multi-domain Matrix), QFD (Quality Function Development).
23rd International Dependency and Structure Modelling Conference (DSM 2021)

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