Design and Development of a Genetic Algorithm Based on Fuzzy Inference Systems for Personnel Assignment Problem

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dc.contributor.authorRabiei, Peymanes_ES
dc.contributor.authorArias-Aranda, Danieles_ES
dc.contributor.funderEuropean Commissiones_ES
dc.date.accessioned2021-06-03T09:16:13Z
dc.date.available2021-06-03T09:16:13Z
dc.date.issued2021-06-02
dc.description.abstract[EN] In today’s competitive markets, the role of human resources as a sustainable competitive advantage is undeniable. Reliable hiring decisions for personnel assignation contribute greatly to a firms’ success. The Personnel Assignment Problem (PAP) relies on assigning the right people to the right positions. The solution to the PAP provided in this paper includes the introducing and testing of an algorithm based on a combination of a Fuzzy Inference System (FIS) and a Genetic Algorithm (GA). The evaluation of candidates is based on subjective knowledge and is influenced by uncertainty. A FIS is applied to model experts’ qualitative knowledge and reasoning. Also, a GA is applied for assigning assessed candidates to job vacancies based on their competency and the significance of each position. The proposed algorithm is applied in an Iranian company in the chocolate industry. Thirty-five candidates were evaluated and assigned to three different positions. The results were assessed by ten staff managers and the algorithm results proved to be satisfactory in discovering desirable solutions. Also, two GA selection techniques (tournament selection and proportional roulette wheel selection) were used and compared. Results show that tournament selection has better performance than proportional roulette wheel selection.en_EN
dc.description.accrualMethodOJSes_ES
dc.description.bibliographicCitationRabiei, P.; Arias-Aranda, D. (2021). Design and Development of a Genetic Algorithm Based on Fuzzy Inference Systems for Personnel Assignment Problem. WPOM-Working Papers on Operations Management. 12(1):1-27. https://doi.org/10.4995/wpom.14699es_ES
dc.description.issue1es_ES
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dc.description.sponsorshipThis research has been developed under funds of the H2020-MSCA-RISE-2018 project 823759 REMESH Research Network on Emergency Resources Supply Chain.es_ES
dc.description.upvformatpfin27es_ES
dc.description.upvformatpinicio1es_ES
dc.description.volume12es_ES
dc.identifier.doi10.4995/wpom.14699
dc.identifier.eissn1989-9068
dc.identifier.urihttps://riunet.upv.es/handle/10251/167258
dc.languageIngléses_ES
dc.publisherUniversitat Politècnica de Valènciaes_ES
dc.relation.ispartofWPOM-Working Papers on Operations Managementes_ES
dc.relation.pasarelaOJS\14699es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/823759/EU/Research Network on Emergency Resources Supply Chain/
dc.relation.publisherversionhttps://doi.org/10.4995/wpom.14699es_ES
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dc.rightsReconocimiento (by)es_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectFuzzy Inference Systemses_ES
dc.subjectGenetic Algorithmes_ES
dc.subjectPersonnel Assignment Problemes_ES
dc.subjectDisasters Management and Emergencieses_ES
dc.subjectCost-benefit ratioes_ES
dc.titleDesign and Development of a Genetic Algorithm Based on Fuzzy Inference Systems for Personnel Assignment Problemes_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dspace.entity.typePublication
upv.uuid7ca2f798-7b72-4885-8808-66faefab20bbes_ES

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Working Papers on Operations Management - Vol. 12 (1)-2021