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Evaluation of Agricultural Machinery Using Multi-Criteria Analysis Methods

Author

Listed:
  • Adis Puška

    (Faculty of Agriculture, Bijeljina University, Pavlovića put bb, 76300 Bijeljina, Bosnia and Herzegovina)

  • Miroslav Nedeljković

    (Institute of Agricultural Economics, Volgina 15, 11060 Belgrade, Serbia)

  • Živče Šarkoćević

    (Faculty of Technical Sciences, University of Pristina, Knjaza Milosa 7, 38220 Kosovska Mitrovica, Serbia)

  • Zoran Golubović

    (Faculty of Technical Sciences, University of Pristina, Knjaza Milosa 7, 38220 Kosovska Mitrovica, Serbia)

  • Vladica Ristić

    (Faculty of Applied Ecology (FUTURA), University Metropolitan, Požeška 83a, 11000 Belgrade, Serbia)

  • Ilija Stojanović

    (College of Business Administration, American University in the Emirates, Dubai International Academic City, Dubai P.O. Box 503000, United Arab Emirates)

Abstract
To achieve the highest possible agricultural production, it is necessary to procure the appropriate agricultural machinery. A tractor is the most useful machine in agriculture that performs various functions. Therefore, the selection of a tractor is one of the key decisions in the agriculture-production process. This study aims to evaluate heavy tractors for agricultural production in Bosnia and Herzegovina. Since this is a selection between different tractors, which are evaluated using several criteria, the methods of multi-criteria analysis (MCDA) were used in this study. Five different methods were used to determine the weight of the criteria, of which a modified standard-deviation method is a new method used in practice, while the tractor ranking was performed using the CRADIS (compromise ranking of alternatives from distance to ideal solution) method. The results showed that the best-ranked tractor is A4, while the most deviations from the ranking occur when the entropy method is used. The contribution of this study is in the systematization of the methods for the objective determination of the criteria weights and the development of new methods to facilitate decision-making in agriculture and other industries.

Suggested Citation

  • Adis Puška & Miroslav Nedeljković & Živče Šarkoćević & Zoran Golubović & Vladica Ristić & Ilija Stojanović, 2022. "Evaluation of Agricultural Machinery Using Multi-Criteria Analysis Methods," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8675-:d:863542
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    References listed on IDEAS

    as
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