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Personnel Selection with Multi-Criteria Decision Making Methods in the Ready-to-Wear Sector

Danisan, Tugba ; Ozcan, Evrencan ; Eren, Tamer

Tehnički vjesnik, 2022-08, Vol.29 (4), p.1339-1347 [Periódico revisado por pares]

Slavonski Baod: University of Osijek

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  • Título:
    Personnel Selection with Multi-Criteria Decision Making Methods in the Ready-to-Wear Sector
  • Autor: Danisan, Tugba ; Ozcan, Evrencan ; Eren, Tamer
  • Assuntos: AHP, Personnel selection, PROMETHEE, Textile industry, TOPSIS, Weighted Scoring ; Analytic hierarchy process ; Decision making ; Employee selection ; Human resource management ; Job openings ; Methods ; Multiple criteria decision making ; Multiple criterion ; Personnel selection ; Textile industry
  • É parte de: Tehnički vjesnik, 2022-08, Vol.29 (4), p.1339-1347
  • Notas: 279492
  • Descrição: The selection of personnel to be recruited for businesses is a significant problem. This study discusses the problem of selecting a person to be hired to use a machine with various specific features in a textile factory. It was aimed to select the most suitable candidate for the job. MCDM methods were used to make an analytical selection away from subjectivity. In this study, real-life business procedures were performed. The Weighted Scoring (WS) method was used for preselection. Important criteria weights for the factory were determined with the Analytical Hierarchy Process (AHP) method. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) methods were used to make a correct selection among the candidates. The most suitable candidate for the job was selected with the methodology followed. The study differs from other studies in the literature with the evaluation criteria, combination of methods, the methodology followed.
  • Editor: Slavonski Baod: University of Osijek
  • Idioma: Inglês;Eslovaco
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