Authors: Franck Marle; Thierry Gidel
Addresses: Laboratoire Genie Industriel, Ecole Centrale Paris, Grande Voie des Vignes, 92295 Chatenay-Malabry, France. ' Costech – EA 2223, Université Technologique de Compiègne, Rue du Dr Schweitzer, Compiègne, 60200, France
Abstract: With projects facing tight constraints, uncertainty and change, they are more than ever exposed to risk. It has thus become increasingly important to effectively and efficiently manage project risks. Project risk management thus plays an important role in the quality and reliability of decisions made during a project. Our objective in this paper is to provide a project office manager or a project manager with one or more adequate project risk management (PRM) methods. To do this, we propose a structured approach based on a multi-criteria decision analysis model to select these methods. Firstly, we propose a list of alternative PRM methods and a list of selection criteria. Secondly, we capture, by interviewing decision-makers, data about their organisation and their preferences. Fuzzy numbers are used to express the relative importance of the criteria. Thirdly, the selection process is run by screening out inadequate methods and by ranking remaining alternatives. An application for one example is presented.
Keywords: multicriteria decision making; MCDM; fuzzy numbers; method selection; project management; project risk management; PRM; risk identification; risk assessment; group decision making; preference modelling; ranking.
International Journal of Multicriteria Decision Making, 2012 Vol.2 No.2, pp.189 - 223
Published online: 30 Aug 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article