Multi-objective Human Resources Allocation in R&D Projects Planning
Résumé
In a R&D department, several projects may have to be implemented simultaneously within a certain period of time by a limited number of human resources with diverse skills. This paper proposes an optimization model for the allocation of multi-skilled human resources to R&D projects, treating individual workers as entities having different knowledge, experience and ability. The model focuses on three fundamental aspects of human resources: the different skill levels, the learning process undertaken and the social relationships existing in team workings. The resolution approach for the multi-objective problem consists in two steps: first, a set of non-dominated solutions is obtained by exploring the optimal Pareto frontier and subsequently, based on further information, the ELECTRE method is employed to select the solution that represents the best compromise with respect to the considered objectives. The uncertainty associated to each solution is modelled by fuzzy number and used in establishing the threshold values of ELECTRE, while the weights of the objectives are determined taking into account the influence that each objective exercises on the others.
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