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Article Dans Une Revue European Journal of Operational Research Année : 2014

Robust competence assessment for job assignment

Résumé

Allocating the right person to a task or job is a key issue for improving quality and performance of achievements, usually addressed using the concept of "competences". Nevertheless, providing an accurate assessment of the competences of an individual may be in practice a difficult task. We suggest in this paper to model the uncertainty on the competences possessed by a person using a possibility distribution, and the imprecision on the competences required for a task using a fuzzy constraint, taking into account the possible interactions between competences using a Choquet Integral. As a difference with comparable approaches, we then suggest to perform the allocation of persons to jobs using a Robust Optimisation approach, allowing to minimize the risk taken by the decision maker. We first apply this framework to the problem of selecting a candidate within n for a job, then extend the method to the problem of selecting c candidates for j jobs (c ≥ j) using the leximin criterion.
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Dates et versions

hal-01070518 , version 1 (01-10-2014)

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Romain Guillaume, Raymond Houé Ngouna, Bernard Grabot. Robust competence assessment for job assignment. European Journal of Operational Research, 2014, pp. 630-644. ⟨10.1016/j.ejor.2014.04.022⟩. ⟨hal-01070518⟩
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