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Robust competence assessment for job assignment

Author

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  • Guillaume, Romain
  • Houé, Raymond
  • Grabot, Bernard

Abstract

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 minimise 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.

Suggested Citation

  • Guillaume, Romain & Houé, Raymond & Grabot, Bernard, 2014. "Robust competence assessment for job assignment," European Journal of Operational Research, Elsevier, vol. 238(2), pages 630-644.
    • Handle: RePEc:eee:ejores:v:238:y:2014:i:2:p:630-644
    DOI: 10.1016/j.ejor.2014.04.022
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    Cited by:

    1. Vítor Vasata Macchi Silva & José Luis Duarte Ribeiro & Gonzalo Rubén Alvarez & Sonia Elisa Caregnato, 2019. "Competence-Based Management Research in the Web of Science and Scopus Databases: Scientific Production, Collaboration, and Impact," Publications, MDPI, vol. 7(4), pages 1-21, September.
    2. Kaouthar Mlaouhi & Lilia Gzara & Céline Cholez, 2021. "Use of Competency Management Methods and Tools in Project-based Organizations," Post-Print hal-03842413, HAL.

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