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Multi-criteria performance analysis for decision making in project management

Abstract : This study is focused on decision support in the context of product and service development projects. Decision support requires the capacity to characterize the current state of the project (performance evaluation) and the decision-maker's point of view. However, the different projects' stakeholders do not have the same needs in terms of performance evaluation to support their decision-making processes. Furthermore, in some cases controlling projectperformance using the elementary components of the Iron Triangle (Cost, Time and Quality) alone seems inefficient. This paper proposes a new multi-dimensional ProjectPerformance Measurement System that would enable managers to deal with the volume of data. The proposition integrates the only character of each project (tasks, objectives, decision-makers personality and competences), several good practices in terms of universal projectmanagement dimensions on the one hand, and in terms of performanceanalysis on the other hand. Then, we show how an aggregation tool called MACBETH is used to analyze the performance measures according to project managers' own performance interests. A case study illustrates the proposed system.
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Guillaume Marquès, Didier Gourc, Matthieu Lauras. Multi-criteria performance analysis for decision making in project management. International Journal of Project Management, Elsevier, 2011, 29 (8), pp.1057-1069. ⟨10.1016/j.ijproman.2010.10.002⟩. ⟨emse-00682699⟩

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