Use of cargo delivery process model for the assessment of logistics service quality

  • Authors

    • Hanna Kyrychenko State University of Infrastructure and Technology
    • Halyna Nesterenko Dnipropetrovsk National University of Railway Transport named after academician V. Lazaryan
    • Svetlana Avramenko Dnipropetrovsk National University of Railway Transport named after academician V. Lazaryan
    • Sergiy Lytvynenko National Aviation University
    • Petro Yanovsky National Aviation University
    • Larysa Lytvynenko National Aviation University
  • Logistics Service, Cargo Delivery, Cargo Delivery Process Model, Forecast Deviation.
  • The paper proposes the method of forecasting the time of operations with a wagon and a cargo, which is carried out using the cargo delivery process model taking into account possible scenarios of the process and deviation from the forecast and technological standards. One of the concepts of the model is the average deviation from the forecast. This method for the first time allowed considering the conditions of real operational work when forecasting control points of cargo delivery process stages. Data on deviation is proposed to be stored in the database of the automated system for forecasting. The paper also proposes an estimation of deviations at all stages of transportation using linguistic definitions of the states, which allows quantifying the indicator, such as the quality of transportation. The given method allows forecasting the time control points of the scheduled cargo delivery stages considering the conditions of real operational work. One of the prospects for using the above method is the ability of information interaction of the transportation participants, namely, in the part of exchange and processing of operation monitoring data, data on deviations from the forecast and standards, as well as the exchange of delivery quality assessment data.


  • References

    1. [1] D. Adebanjo, An investigation of the adoption and implementation of benchmarking, International Journal of Operations & Production Management, Vol. 30, No. 11 (2010) 1140-1169,

      [2] D.V. Lomotko, E.S. Alyoshinsky, G.G. Zambrybor, Methodological Aspect of the Logistics Technologies Formation in Reforming Processes on the Railways. Transportation Research Procedia, Vol. 14 (2016) 2762-2766,

      [3] J. Gou, T. Ma, J. Li A research on Supply Chain Integration Strategy Based on Virtual Value Net, Research and Practical Issues of Enterprise Information Systems II, Vol. 2 (2007) 887-891,

      [4] A. Nagurney, D. Li, Competing on Supply Chain Quality: A Network Economics Perspective, 2016; 85-101,

      [5] P. Brandimarte, G. Zotteri, Introduction to Distribution Logistics. 2007; 91-113, 116-185, 335-345.

      [6] D. Teodorovic, M. Janic, Transportation Engineering: Theory, Practice and Modeling, 2016; 346-347.

      [7] T.L. Pohja, Some theoretical foundations of Supply Chain Management and Supply Networks: the role of social networks in selecting partners. The paper was published at the 20th IMP-conference inCopenhagen, 2-4.9, 2004.

      [8] H. Min, G. Zhou, Supply chain modeling: past, present and future, Computers and Industrial Engineering – Supply chain management, Vol. 43 (2002) 231-249.

      [9] Dr. Rajagopal, Systems Thinking and Process Dynamics for Marketing Systems: Technologies and Applications for Decision Management, 2012, 301 p.,

      [10] H.R. Karimi, N. Duffie, M. Freitag, M. Lütjen, M. Chadli, Modeling Planning, and Control of Complex Logistic Processes, Mathematical Problems in Engineering. Article ID 184267, 2 pages, 2015,

      [11] H.I. Kyrychenko, S.М. Оvcharenko "Rozrobka metodu kontrolno-chasovih tochok dlya kontrolyu grafikiv dostavki vantazhu" [In Ukrainian: Development of the method of control points for controlling delivery schedules], Problemi transportu, Vol. 10 (2013) 112-118.

      [12] H.I. Kyrychenko, Applying processes modelling to manage goods delivery, III International Scientific and Practical Conference «Modern Scientific Achievements and Their Practical Application», No. 5 (21), Vol.1 (2017) 53-55.

  • Downloads

  • How to Cite

    Kyrychenko, H., Nesterenko, H., Avramenko, S., Lytvynenko, S., Yanovsky, P., & Lytvynenko, L. (2018). Use of cargo delivery process model for the assessment of logistics service quality. International Journal of Engineering & Technology, 7(4), 4514-4518.