Using Importance Measures of Risk Clusters to Assist Project Management - Archive ouverte HAL
Communication Dans Un Congrès Année : 2014

Using Importance Measures of Risk Clusters to Assist Project Management

Chao Fang
  • Fonction : Auteur
  • PersonId : 766243
  • IdRef : 161112056
Franck Marle

Résumé

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.
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Dates et versions

hal-01559107 , version 1 (10-07-2017)

Identifiants

  • HAL Id : hal-01559107 , version 1

Citer

Chao Fang, Franck Marle. Using Importance Measures of Risk Clusters to Assist Project Management. 16th Dependency and Structure Modelling Conference (DSM), Jul 2014, Paris, France. ⟨hal-01559107⟩
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