A fuzzy hybrid approach for project manager selection

Abstract

Suitable project manager has a significant impact on successful accomplishment of the project.Managers should possess such skills in order to effectively cope with the competition.In this respect, selecting managers based on their skills can lead to a competitive advantage towards the achievement of organizational goals.selection of the suitable project manager can be viewed as a multi-criteria decision making (MCDM) problem and an extensive evaluation of criteria, such as Technical skills, experience skills, Personal qualities and the related criteria must be considered in the selection process of project manager.The fuzzy set theory and MCDM methods appears as an essential tools to provide a decision framework that incorporates imprecise judgments and multi criteria nature of project manager selection process inherent in this process.This paper proposes the joint use of the Fuzzy DEMATEL (FDEMATEL) and Fuzzy VIKOR methods for the decision-making process of selecting the most suitable managers for projects.First, with the opinions of the senior managers based on project management competency model (ICB-IPMA), all the criteria required for the selection are gathered.Then the FDEMATEL method is used to prioritize the importance of various criteria and FVIKOR used to rank the alternatives in a preferred order to select the best project managers from a number of alternatives.Next, a real case study used to illustrate the process of the proposed method.Finally, some conclusions are discussed at the end of this study.

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