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ICED 11
Papers

Using Importance Measures of Risk Clusters to Assist Project Management

Using Importance Measures of Risk Clusters to Assist Project Management

Year: 2014

Section: Clustering and Optimization

Editor: Marle, F.; Jankovic, M.; Maurer, M.; Schmidt, D. M.; Lindemann, U.

Author: Fang, C.; Marle, F.

Series: DSM

Section: Clustering and Optimization

Pages: 187-196

Abstract

In this paper, we present an innovative approach for measuring importance of project risks at a group level. First, a simulation-based risk network model is used to account for risk interactions during the project development. Various importance measures are then proposed to assess risks with respect to their influence on the global risk exposure. The originality is estimating the risk importance measures at the group level, formed using interactions-based clustering techniques. Serving as a powerful complement to the classical risk criticality analysis, the proposed method is able to support decision-making like risk response planning. An example of application to a large engineering project for implementing a tramway system is provided to illustrate the utility of the approach.

Keywords: Risk interaction, risk clustering, importance measures, design structure matrix, project management

ds endorsed conferenceDSM 2014 International Dependency and Structure Modelling DSM Conference 2014. Paris France. 2 July 2014 – 4 July 2014 CALL FOR PAPERS

Dependency and Structure Modelling (DSM) techniques support complex system design by focusing attention on system elements and their interdependencies related to all domains: product, process and organization. For this 2014 edition, we would like to invite original scholarly work related to modeling, analysis and prediction of risk and change management in complex systems. Emergence is one of complex system properties stemming from its’ complexity, whether desired or not. This complexity makes it...

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SIG Workshop - March 2013