6533b823fe1ef96bd127e3e7
RESEARCH PRODUCT
Multi-objective human resources allocation in R&D projects planning
Mario EneaConcetta Manuela La FataGiacomo Maria GalanteAntonella Certasubject
human resource allocationOperations researchComputer scienceProcess (engineering)business.industryStrategy and ManagementCompromisemedia_common.quotation_subjectPareto principlemulti-objective optimisationManagement Science and Operations ResearchResolution (logic)Industrial and Manufacturing EngineeringSettore ING-IND/17 - Impianti Industriali MeccaniciFuzzy numberELECTREHuman resourcesbusinessSet (psychology)ANPmedia_commonELECTRE IIIdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-07-01 |