Multi-objective human resources allocation in R&D projects planning

Antonella Certa · Mario Enea · Giacomo Maria Galante · Concetta Manuela La Fata

65 citations0/0 files storedInternational Journal of Production Research

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Resource-Constrained Project Scheduling Multi-Criteria Decision Making Optimization and Mathematical Programming

Abstract

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 optimisation model for the allocation of multi-skilled human resources to R&D projects, considering 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 and the social relationships existing in working teams. The resolution approach for the multi-objective problem consists of two steps: firstly, a set of non-dominated solutions is obtained by exploring the optimal Pareto frontier and secondly, based on further information, the ELECTRE III method is utilised to select the best compromise with regards to the considered objectives. The uncertainty associated to each solution is modelled by fuzzy numbers and used in establishing the threshold values of ELECTRE III, while the weights of the objectives are determined taking into account the influence that each objective has on the others.

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References

1985The Analytic Hierarchy Process 1996Decision making with dependence and feedback : the analytic network process 1996Multicriteria Methodology for Decision Aiding 1997Multicriteria Methodology for Decision Aiding 1990The analytic hierarchy process 2005A project scheduling and staff assignment model considering learning effect 2003Multi-criteria task assignment in workflow management systems

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