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A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company

Author

Listed:
  • Željko Stević

    (Faculty of Transport and Traffic Engineering, University of East Sarajevo, Vojvode Mišića 52, 74000 Doboj, Bosnia and Herzegovina)

  • Nikola Brković

    (Transportation company Actros d.o.o, Gorpnji Štrpci bb, 78439 Prnjavor, Bosnia and Herzegovina)

Abstract

The application of different evaluation approaches in logistics requires considering many factors with different significance for making the final decision. Multi-criteria decision-making (MCDM) methods are often applied in logistics to create different strategies and evaluations. In this paper, research has been carried out in a transport system of an international transport company. An MCDM model has been created for the purpose of human resource evaluation, on which the overall efficiency of the company depends. A total of 23 drivers were evaluated on the basis of five crucial criteria in order to increase employees’ motivation through their periodic remuneration. The Full Consistency Method (FUCOM) was applied to determine the significance of the criteria, while the evaluation of potential solutions was performed using Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). After the results had been obtained, the created model was validated throughout comparisons with seven other MCDM methods.

Suggested Citation

  • Željko Stević & Nikola Brković, 2020. "A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company," Logistics, MDPI, vol. 4(1), pages 1-14, February.
  • Handle: RePEc:gam:jlogis:v:4:y:2020:i:1:p:4-:d:320057
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    References listed on IDEAS

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    1. Morteza Yazdani & Pascale Zaraté & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2019. "A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems," Post-Print hal-02879091, HAL.
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    2. Chia-Nan Wang & Ngoc-Ai-Thy Nguyen & Thanh-Tuan Dang, 2023. "Sustainable Evaluation of Major Third-Party Logistics Providers: A Framework of an MCDM-Based Entropy Objective Weighting Method," Mathematics, MDPI, vol. 11(19), pages 1-27, October.
    3. Ocampo, Lanndon & Aro, Joerabell Lourdes & Evangelista, Samantha Shane & Maturan, Fatima & Atibing, Nadine May & Yamagishi, Kafferine & Selerio, Egberto, 2023. "Synthesis of strategies in post-COVID-19 public sector supply chains under an intuitionistic fuzzy environment," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    4. Snežana Tadić & Mladen Krstić & Milovan Kovač, 2023. "Assessment of city logistics initiative categories sustainability: case of Belgrade," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1383-1419, February.
    5. Ahmet Kaya & Dragan Pamucar & Hasan Emin Gürler & Mehmet Ozcalici, 2024. "Determining the financial performance of the firms in the Borsa Istanbul sustainability index: integrating multi criteria decision making methods with simulation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-44, December.
    6. Vladimir Simic & Ali Ebadi Torkayesh & Abtin Ijadi Maghsoodi, 2023. "Locating a disinfection facility for hazardous healthcare waste in the COVID-19 era: a novel approach based on Fermatean fuzzy ITARA-MARCOS and random forest recursive feature elimination algorithm," Annals of Operations Research, Springer, vol. 328(1), pages 1105-1150, September.
    7. Didem Tezsürücü Çoşansu & Algın Okursoy, 2022. "Financial Performance Analysis of Retail Trade Firms Registered in BIST with FUCOM Based VIKOR Method," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 10(2), pages 223-235, December.
    8. Phi-Hung Nguyen, 2023. "A Fully Completed Spherical Fuzzy Data-Driven Model for Analyzing Employee Satisfaction in Logistics Service Industry," Mathematics, MDPI, vol. 11(10), pages 1-34, May.
    9. Adis Puška & Željko Stević & Dragan Pamučar, 2022. "Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11195-11225, September.

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