The application of the fuzzy AHP and DEA for measuring the efficiency of freight transport railway undertakings
DOI:
https://doi.org/10.31181/oresta2003001bKeywords:
railway undertaking, efficiency, DEA, fuzzy AHPAbstract
Measuring the performance of railway undertakings is inevitably becoming a prerequisite for their survival on the market in today's dynamic and highly turbulent environment. Railway undertakings must find optimal solutions in order to efficiently and effectively operate, survive on the transport market, and develop and maintain their competitive advantages as well. The objective of this research is to define and evaluate the criteria that affect the efficiency of railway undertakings, increase their competitiveness and propose a DEA-based approach (i.e. a Data-Envelopment-Analysis-based approach) to the assessment of the efficiency of railway undertakings in increasing competitiveness. In order to solve the criteria selection problem, the Fuzzy Analytical Hierarchical Processes (FAHP) method was experimented with, which showed the priority of the assessment of the efficiency of railway undertakings, on the basis of the five groups of criteria. The criteria in a group that outperformed the other criteria in that group for their freight transport railway undertakings within a composite normalized range were used as the input and output indicators for the DEA. The evaluation of the efficiency of the railway undertakings was considered by using the DEA approach. The results show that the proposed approach successfully enables the consolidation of a set of criteria (resource, operational, financial, quality and safety) into a single assessment of the efficiency of the railway undertakings, while providing information on the corrective actions that can improve the efficiency of the railway undertakings.
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References
Azadeh A., Salehi V., (2014). Modeling and optimizing efficiency gap between managers and operators in integrated resilient systems, Process Safety and Environmental Protection 92, pp 766–778
Blagojević A., Stojanova I., Dakić B., & Đorđević Ž., (2018). Aplication of fuzzѕ AHP approach assessment of criteria for the evaluation of efficiencѕ of railwayѕ undertakings, 2nd Internacional Conference, Bitola, Republic of Macedonia, 17-19 May.
Blagojević A., Stojić G., Kuravica M., Simić S., & Đorđević Ž., (2017). Defining and assessment of criteria for the evaluation of efficiency and effectiveness of railway undertaking, Scientific journal of the Railways Serbie, ISSN 0350-5138, Vol.62, No 4, Belgrad, Serbia, pp 201-210.
Blagojević A., Vesković S., & Stojić G., (2017). Dea model for evaluation of efficiency and effectiveness of passenger rail operators, Scientific journal of the Railways Serbie, ISSN 0350-5138, Vol.62, No 2, Belgrade, Serbia, pp 81-94.
Blagojević, A. (2016). Modeling of the efficiency and effectiveness of railway undertakings”, Doctoral thesis, Faculty of Technical Sciences, Novi Sad, Serbia, 2016.
Borenstein D., Becker J.L., & Jose do Prado, V., (2004). Measuring the efficiency of Brazilian post office stores using data envelopment analysis, International Journal of Operations and Production Management, Vol. 24, No. 10, pp 1055-1078.
Chang, D. Y., (1996). Applications of the extent analysis method on fuzzy AHP, European journal of operational research, Vol. 95, No. 3., pp. 649-655.
Charnes, A., Cooper, W.W , & Rhodes, E. (1978). Measuring the efficiency of decision making units, European Journal of Operational Research, Vol. 2, Issue 6, pp 429-444.
EhrmaNN, T., (2001). Restrukturierungszwänge und Unternehmenskontrolle – Das Beispiel Eisenbahn, Deutsche Universitäts-Verlag GmbH, Wiesbaden.
Friebel G., Ivaldi M., & Vibes C., (2010). Railway (De) regulation, A European efficiency comparison, Economica 77, pp 77-91.
Garcia-Cebrian L.I., Jorge-Moreno J., (1999). Measuring of production efficiency in the European railways, European Business Review, Vol.99 No.5.
Jianjun, Wang., (2012). The Research on Efficiency and Effectiveness of Rail Transport, IERI Procedia 3 pp 126 – 130.
Kilincci, O., Onal S., (2011). Fuzzy AHP approach for supplier selection in a washing machine company. Expert Systems with Applications, 38, 9656-9664.
Lan-Bing Li, Jin-Li Hu, (2011). Efficiency and productivity of the Chinese railway system, Application of a multi-stage framework, African Journal of Business Management Vol. 5(22), pp 8789-8803.
Marchetti, D, & Wanke, P. (2017). Brazil's rail freight transport: Efficiency analysis using two-stage DEA and cluster-driven public policies, Socio-Economic Planning Sciences, Elsevier, vol. 59(C), pp 26-42.
Ming-Miin Y., Lin E.T.J., (2008). Efficiency and effectiveness in railway performance using multi-activity network DEA model. Omega, International Journal of Management Science, Vol. 36, No. 6, pp 1005-1017.
Nashand, ASJ, Nash, CA., (2010). Benchmarking of train operating firms: a transaction cost efficiency analysis, Transp. Plan. Technol., Vol. 33, No. 1, pp. 35–53.
Oum, TH, Yu C., (1994). Economic Efficiency of Railways and Implications for Public Policy, Journal of Transport Economics and Policy, Vol. 18, No. 2, pp. 121-138.
Pavlyuk, D., (2008). An efficiency analysis of European Countires Railways, Retrieved from https://ideas.repec.org/p/pra/mprapa/20922.html
Ralević, P., Dobrodolac, M., Marković, D., & Matthias, F., (2014). Stability of the classifications of returns to scale in data envelopment analysis, A case study of the set of public postal operators, Acta Polytechnica Hungarica, Vol. 11, No. 8, pp 177-196.
Ralević, P., (2014). A model for universal service provider resource optimization based on measuring the efficiency of postal services providing, Doctoral Dissertation, Faculty of transport and traffic engineering, Belgrad, Serbia.
Seiford, L. M., Zhu, J., (1999). An Investigation of Returns to Scale Under Data Envelopment Analysis, Omega: International Journal of Management Science, Vol. 27, No. 1, pp. 1-11.
Stević Ž., Vasiljević, M., Blagojević, A., & Đorđević, Ž., (2017). Defining the most important criteria for suppliers evaluation in construction companies, 6th International Conference Transport & Logistic, ISBN 978-86-6055-088-2, Niš, Srbija, str 91-96.
Stević, Ž., Tanackov, I., Ćosić, I., Vesković, S., & Vasiljević, M., (2015). Comparison of ahp and fuzzy ahp for evaluating weight of criteria, Proceedings V International Symposium ”Now Horizons2017”, pp 198-202.
Stojić, G., Vesković, S., Tanackov, I., & Milinković, S., (2012). Model for Railway Infrastructure Management Organization, Promet – Traffic&Transportation, Vol. 24, No. 2, pp. 99-107, ISSN: 1848-4069.
Vesković, S., Stević, Ž., Stojić, G., Rajilić, S., & Vasiljević, M., (2015). Application of fuzzy AHP method for profit analysis of railway operators with PSO, Zbornik radova naučno - stručne konferencije o železnici "ŽELKON'15", 105-108.
Yu, MM, Lin, TJE., (2008). Efficiency and effectiveness in railway performance using a multi-activity network DEA model, Omega - International Journal of Management Science, Vol. 36, No. 6, pp. 1005-1017.
Yu, M., (2008). Assessing the technical efficiency, service effectiveness, and technical effectiveness of the world’s railways through NDEA analysis, Transportation Research Part A, Vol. 42, pp. 1283– 1294.
Zhu, J., (2003). Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets and DEA Excel Solver, Kluwer Academic Publishers, Boston.