Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC

  • Slavko Vesković University of Belgrade, Faculty of Transport and Traffic Engineering, Belgrade, Serbia
  • Željko Stević University of East Sarajevo, Faculty of Transport and Traffic Engineering, Doboj, Bosnia and Herzegovina
  • Gordan Stojić University of Novi Sad, Faculty of Technical Science, Novi Sad, Serbia
  • Marko Vasiljević University of East Sarajevo, Faculty of Transport and Traffic Engineering Doboj, Bosnia and Herzegovina
  • Sanjin Milinković University of Belgrade, Faculty of Transport and Traffic Engineering, Belgrade, Serbia
Keywords: Railways, Transport Policy, Delphi, SWARA, MABAC


The functioning of each traffic system depends to a great extent on the way the rail transport system operates. Taking into account the aspect of market turbulence and the dependence on adequate delivery when it comes to freight transport and traffic in accordance with a yearly Timetable in passenger traffic, transport policies are changing with time. Therefore, this document is considering the railway management models on the territory of Bosnia and Herzegovina. For the purpose of evaluating these models, a new hybrid model has been applied, i.e. the model which includes a combination of the Delphi, SWARA (Step-Wise Weight Assessment Ratio Analysis) and MABAC (Multi-Attributive Border Approximation Area Comparison) methods. In the first phase of the study, the criteria ranking was determined based on 16 expert grades used in the Delphi Method. After that, a total of 14 decision-makers determined the mutual criteria impact, which is a prerequisite for the application of the SWARA Method used to determine the relative weight values of the criteria. The third phase involves the application of the MABAC Method for evaluating and determining the most suitable variant. In addition, a sensitivity analysis involving the application of the ARAS, WASPAS, SAW and EDAS methods has been performed, thus verifying the previously obtained variant ranking.


Download data is not yet available.


Aydin, N. (2017). A fuzzy-based multi-dimensional and multi-period service quality evaluation outline for rail transit systems. Transport Policy, 55, 87-98.

CER (2005.), Reforma železnice u Evropi, Brussels, Belgium

Ghorshi Nezhad, M. R., Hashemkhani Zolfani, S., Moztarzadeh, F., Zavadskas, E. K., & Bahrami, M. (2015). Planning the priority of high tech industries based on SWARA-WASPAS methodology: The case of the nanotechnology industry in Iran. Economic research-Ekonomska istraživanja, 28(1), 1111-1137.

Hashemkhani Zolfani, S., & Bahrami, M. (2014). Investment prioritizing in high tech industries based on SWARA-COPRAS approach. Technological and Economic Development of Economy, 20(3), 534-553.

Hashemkhani Zolfani, S., Salimi, J., Maknoon, R., & Kildiene, S. (2015). Technology foresight about R&D projects selection; Application of SWARA method at the policy making level. Engineering Economics, 26(5), 571-580.

Heidary Dahooie, J., Beheshti Jazan Abadi, E., Vanaki, A. S., & Firoozfar, H. R. (2018). Competency‐based IT personnel selection using a hybrid SWARA and ARAS‐G methodology. Human Factors and Ergonomics in Manufacturing & Service Industries. 28(1), 5-16.

Hong, H., Panahi, M., Shirzadi, A., Ma, T., Liu, J., Zhu, A. X., ... & Kazakis, N. (2017). Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution. Science of The Total Environment. 621, 1124-1141

Ighravwe, D. E., & Oke, S. A. (2017). Sustenance of zero-loss on production lines using Kobetsu Kaizen of TPM with hybrid models. Total Quality Management & Business Excellence, 1-25.

Jain, N., & Singh, A. R. (2017). Fuzzy Kano Integrated MCDM Approach for Supplier Selection Based on Must Be Criteria. International Journal of Supply Chain Management, 6(2), 49-59.

Juodagalvienė, B., Turskis, Z., Šaparauskas, J., & Endriukaitytė, A. (2017). Integrated multi-criteria evaluation of house’s plan shape based on the EDAS and SWARA methods. Engineering Structures and Technologies, 9(3), 117-125.

Karabasevic, D., Stanujkic, D., Urosevic, S., Popovic, G., & Maksimovic, M. (2017). An approach to criteria weights determination by integrating the Delphi and the adapted SWARA methods. Management: Journal of Sustainable Business and Management Solutions in Emerging Economies, 22(3), 15-25.

Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of business economics and management, 11(2), 243-258.

Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2018). A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations. Archives of Civil and Mechanical Engineering, 18(1), 32-49.

Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451.

Krmac, E., & Djordjević, B. (2017). An Evaluation of Indicators of Railway Intelligent Transportation Systems using the Group Analytic Hierarchy Process. Electronics Science Technology and Application, 4(2).

Kuo, S. Y., & Chen, S. C. (2015). Transportation Policy Making Using MCDM Model: The Case of Hualien. 44(1), 25-44.

Leonardi, G. (2016). A Fuzzy Model for a Railway-Planning Problem. Applied Mathematical Sciences, 10(27), 1333-1342.

MacCrimmon, K. R. (1968). Decisionmaking among multiple-attribute alternatives: a survey and consolidated approach (No. RM-4823-ARPA). RAND CORP SANTA MONICA CA.

Mavi, R. K., Goh, M., & Zarbakhshnia, N. (2017). Sustainable third-party reverse logistic provider selection with fuzzy SWARA and fuzzy MOORA in plastic industry. The International Journal of Advanced Manufacturing Technology, 91(5-8), 2401-2418.

Nassereddine, M., & Eskandari, H. (2017). An integrated MCDM approach to evaluate public transportation systems in Tehran. Transportation Research Part A: Policy and Practice, 106, 427-439.

Pamučar, D., & Ćirović, G. (2015). The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC). Expert Systems with Applications, 42(6), 3016-3028.

Panahi, S., Khakzad, A., & Afzal, P. (2017). Application of stepwise weight assessment ratio analysis (SWARA) for copper prospectivity mapping in the Anarak region, central Iran. Arabian Journal of Geosciences, 10(22), 484.

Ranjan, R., Chatterjee, P., & Chakraborty, S. (2016). Performance evaluation of Indian Railway zones using DEMATEL and VIKOR methods. Benchmarking: An International Journal, 23(1), 78-95.

Ruzgys, A., Volvačiovas, R., Ignatavičius, Č., & Turskis, Z. (2014). Integrated evaluation of external wall insulation in residential buildings using SWARA-TODIM MCDM method. Journal of Civil Engineering and Management, 20(1), 103-110.

Sang, J. J., Wang, X. F., Sun, H. S., & Li, M. L. (2015). Selection and Evaluation of Railway Freight Third-Party-Logistics Based on F-AHP Method. In Applied Mechanics and Materials (Vol. 744, pp. 1878-1882). Trans Tech Publications.

Santarremigia, F. E., Molero, G. D., Poveda-Reyes, S., & Aguilar-Herrando, J. (2018). Railway safety by designing the layout of inland terminals with dangerous goods connected with the rail transport system. Safety Science.

Stević, Ž., Pamučar, D., Kazimieras Zavadskas, E., Ćirović, G., & Prentkovskis, O. (2017a). The Selection of Wagons for the Internal Transport of a Logistics Company: A Novel Approach Based on Rough BWM and Rough SAW Methods. Symmetry, 9(11), 264.

Stević, Ž., Pamučar, D., Vasiljević, M., Stojić, G., & Korica, S. (2017b). Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company. Symmetry, 9(11), 279.

Stević, Ž., Tanackov, I., Vasiljević, M., & Vesković, S. (2016, September). Evaluation in logistics using combined AHP and EDAS method. In Proceedings of the XLIII International Symposium on Operational Research, Belgrade, Serbia (pp. 20-23).

Urosevic, S., Karabasevic, D., Stanujkic, D., & Maksimovic, M. (2017). An approach to personnel selection in the tourism industry based on the SWARA and the WASPAS methods. Economic Computation & Economic Cybernetics Studies & Research, 51(1). 75-88.

Vafaeipour, M., Hashemkhani Zolfani, S., Varzandeh, M. H. M., Derakhti, A., & Eshkalag, M. K. (2014). Assessment of regions priority for implementation of solar projects in Iran: New application of a hybrid multi-criteria decision making approach. Energy Conversion and Management, 86, 653-663.

Valipour, A., Yahaya, N., Md Noor, N., Antuchevičienė, J., & Tamošaitienė, J. (2017). Hybrid SWARA-COPRAS method for risk assessment in deep foundation excavation project: An Iranian case study. Journal of Civil Engineering and Management, 23(4), 524-532.

Zarbakhshnia, N., Soleimani, H., & Ghaderi, H. (2018). Sustainable Third-Party Reverse Logistics Provider Evaluation and Selection Using Fuzzy SWARA and Developed Fuzzy COPRAS in the Presence of Risk Criteria. Applied Soft Computing.

Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multi-criteria decision‐making. Technological and Economic Development of Economy, 16(2), 159-172.

Zavadskas, E. K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir elektrotechnika, 122(6), 3-6.

Zavadskas, E. K., Stević, Ž., Tanackov, I., Pretkovskis, O., (2018). A Novel Multi-criteria Approach – Rough Step-Wise Weight Assessment Ratio Analysis Method (R-SWARA) and Its Application in Logistics, Studies in Informatics and Control, 27, 1. 97-106
How to Cite
Vesković, S., Stević, Željko, Stojić, G., Vasiljević, M., & Milinković, S. (2018). Evaluation of the railway management model by using a new integrated model DELPHI-SWARA-MABAC. Decision Making: Applications in Management and Engineering, 1(2), 34-50. https://doi.org/10.31181/dmame1802034v