Assessment of the Quality Indicators Interconnection of Transport Services while Cargo Transportation

  • Neonila T. KUNDA Department of International Transportations and Custom Control National Transport University, Kyiv, Ukraine
  • Victoriia V. LEBID Department of International Transportations and Custom Control National Transport University, Kyiv, Ukraine


Quality assurance of transport services is one of the main ways of increasing the efficiency of international freight transportation. Assessing the level of transport services is a complex and time-consuming process that requires new approaches. The use of the mathematical apparatus of fuzzy set theory and the use of a linguistic variable makes it possible to form a comprehensive quality index based on incomplete and inaccurate information obtained by expert means. Such an indicator may be the ‘attractiveness of the route’.

An expert system is presented in which the quality assessment of the route is made according to the formal rules of fuzzy logic. A mathematical model of transport service quality management was constructed to select the driving route according to the criterion of ‘route attractiveness’, which was compiled according to the rules of Mamdani's inference. Compatibility functions for Ukrainian sections of international transport corridors (ITCs) have been obtained, and schedules of attractiveness of the route according to the investigated ITCs have been constructed. The Hamming distance metric and the Bellman-Zadeh approach were used to test the convergence of the study results. The presented model allows to take into account the requirements and to harmonize the interests of the participants of the freight transportation process regarding the quality of transport service.



[1] Alekseychik, T., Bogachev, T. Bogachev, V., and Bruhanova, N. 2017. The choice of transport for freight and passenger traffic in the region, using econometric and fuzzy modeling. Procedia Computer Science, 120: 830-834. DOI: 10.1016/j.procs.2017.11.314
[2] Amirgalieva, S.N., Ostapenko, V.V., and Ostapenko, E.V. 2004. Analysis of matrix-convex functions. Kibernetikai Sistemnyj Analiz, 40(4): 99-109.
[3] Bocharnikov, V.P. 2002. Fuzzy Technology: Modality and Decision Making in Marketing Communications. Nika-Center, Elga.
[4] Braya, S., Caggiania, L., and Ottomanellia, M. 2015. Measuring transport systems efficiency under uncertainty by fuzzy sets theory based Data Envelopment Analysis: Theoretical and practical comparison with traditional DEA model. Transportation Research Procedia, 5: 186-200.
[5] Bushuiev, S.D., and Bushuiev, D.A. 2017. Basics of Individual Competencies for Project, Program and Portfolio Management. Sammit-Kniga.
[6] Dale, В., and Bunney, H. 2006. Total Quality Management Blueprint. Blackwell Publishers Ltd.
[7] Dunkan, W.R. 2004. A Guide to the Project Management Body of Knowledge. PMI Communications.
[8] Dworatshek, S., and Rucher, G. 1993. Project Management in the New Europe. International Project Management Association.
[9] Goloshchapova, L.V., Plaskova, N.S., Prodanova, N.A., Yusupova, S.Y., Pozdeeva, S.N. 2018. Analytical review of risks of loss of profits in cargo transportation. International Journal of Mechanical Engineering and Technology, 9(11): 1897-1902.
[10] Heiets, I., Spivakovskyy, S., and Spivakovska, T. 2019. Innovative business models for full cycle operating airlines. International Journal of Business Performance Management, 20(4): 356-377.
[11] Hroznyy, I. 2015. Of industrial enterprises mechanism for the use benchmarking in the quality management process development. Skhid, 5(137): 27-31. DOI:
[12] Kalinsky, O.I., Kruzhkova, G.V., Aleksakhin, A.V., and Molchanov, G.A. 2019. Selection of the optimal strategy for the supply of raw materials based on game theory. Smart Innovation, Systems and Technologies, 139: 577-583.
[13] Knopa, K. 2019. Evaluation of quality of services provided by transport & logistics operator from pharmaceutical industry for improvement purposes. Transportation Research Procedia, 40: 1080-1087.
[14] Kunda, N.T., and Lebid, V.V. 2011. Application of the Harrington function in substantiating the assessment of the quality of transport services. Highways and Road Construction, 82: 81-87.
[15] Kunda, N.T., and Lebid, V.V. 2012. Establishment of a method of expert assessments for the determination of the height of the transport hearing. Project Management, Systems Analysis and Logistics, 9: 94-98.
[16] Lebid, V.V. 2013. A fuzzy-multiple model for evaluating the efficiency of international freight transportation in international transport corridor development projects. Project Management, Systems Analysis and Logistics, 12: 80-90.
[17] Mateichik, V., Smeshek, M., Khrutba, V., and Zyuzyun, V. 2014. Formation of programs for sustainable development of urban transport systems. Bulletin of the National Transport University, 29: 218-232.
[18] Mohanty, M., and Shankar, R. 2017. Modelling uncertainty in sustainable integrated logistics using Fuzzy-TISM. Transportation Research Part D: Transport and Environment, 53: 471-491.
[19] Mustafin, A., and Kantarbayeva, A. 2018. Supply chain modeled as a metabolic pathway. Mathematical Modelling and Analysis, 28(3): 473-491.
[20] Öberga, M., Kristina, L., Nilsson, K.L., and Johansson, Ch. 2016. Major transport corridors: The concept of sustainability in EU documents. Transportation Research Procedia, 14: 860-868.
[21] Pospelov, D.A. 1986. Fuzzy Sets in Artificial Intelligence Control Models. Nauka.
[22] Ptuskyn, A.S. 2008. Fuzzy Models and Methods in Management. Publishing house MSTU.BC Bauman.
[23] Romanova, A., et al. 2019. Problems of the formation of a single transport space on sections of international transport corridors. Procedia Computer Science, 149: 537-541. DOI: 10.1016/j.procs.2019.01.173
[24] Shtovba, S.D. 2007. Designing Nechetkyh Systems of Funds MATLAB. Hotline Telecom.
[25] Trihunkov, M.F. 1980. Problems of economy and planning of quality of cargo transportation. MIIT Proceedings, 673: 3-141.
[26] Zadeh, L.A. 1978. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1: 3-28.
[27] Zadeh, L.A. 1990. Fuzzy sets and systems. International Journal of General Systems, 17(2-3): 129-138. DOI: 10.1080/03081079008935104 
How to Cite
KUNDA, Neonila T.; LEBID, Victoriia V.. Assessment of the Quality Indicators Interconnection of Transport Services while Cargo Transportation. Journal of Advanced Research in Law and Economics, [S.l.], v. 10, n. 8, p. 2394 – 2406, dec. 2019. ISSN 2068-696X. Available at: <>. Date accessed: 22 may 2024. doi: