Reciprocal enrichment of two Multi-Domain Matrices to improve accuracy of vehicle development project interdependencies modeling and analysis

DSM 14 Proceedings of the 16th International DSM conference: Risk and Change management in complex systems

Year: 2014
Editor: Marle, F.; Jankovic, M.; Maurer, M.; Schmidt, D. M.; Lindemann, U.
Author: Jaber, H.; Marle, F.; Vidal, L.- A.; Didiez, L.
Series: DSM
Section: Managing Multiple Domains in Complex Projects
Page(s): 329-338

Abstract

This paper presents two Multi-Domain Matrix-based models of propagation analysis within a vehicle development project. The aim is to reduce the gap between these models and the reality of propagation behavior within the project, notably by reciprocal enrichment of these models. The first one is the Risk-Risk (RR) interdependency model with the purpose of anticipating project risk propagation through actors and time within the project. The second one is the APP (Actors-Process-Product) model classically used for anticipating the propagation of desired changes and of unintended disruptive events or potential dysfunction from one project element to another. The result is a reciprocal enrichment of both models, enabling the accuracy of models and then the reliability of decisions to be improved. An application on new vehicle development projects in an automotive manufacturer is presented.

Keywords: Project Risk Management, Interactions modeling, Multiple-Domain Matrix

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