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Received 23.08.2023

Revised 25.11.2023

Accepted 27.12.2023

Retrieved from Vol. 27, No. 3, 2023

Pages 99 -109

  • 190 Views

Suggested citation

Prokudin, G., Prokudin, O., & Nazarova, A. (2023). Logistics Chain Analysis System cargo delivery. The National Transport University Bulletin, 27(3), 99-109. https://doi.org/10.33744/2308-6645-2023-3-57-099-109

Logistics Chain Analysis System cargo delivery

Georgii Prokudin Oleksii Prokudin Alina Nazarova

Abstract

The article proposes a model for analyzing logistics chains of cargo delivery, which is presented in the form of a mass delivery network. This network simulates the technological processes of cargo delivery from the freight owner to the freight customer and provides for an adequate response to situations arising in the course of its operation and allows adjusting the values of certain parameters and characteristics of the network (number of channels, service intensity, etc.) in order to improve the network operation and ensure an optimal process of servicing the requirements for the delivery of goods in international traffic. The object of research is the process of cargo delivery by road in international traffic. The aim of the research is to study the peculiarities of decision-making in the management of cargo delivery in international traffic. Research methods - to achieve the aim of the work, well-known scientific methods were used: system analysis, abstraction, synthesis, systematization, generalization, formulation of conclusions, as well as mathematical modeling of transport processes and the theory of a mass delivery systems. The structure of the technological process of cargo delivery is described by the structure of the logistics chain, which reflects the sequence of participation in the delivery process of various transport market entities. It is important to distinguish the task of selecting the optimal structure of the logistics chain from the task of selecting the optimal carrier (logistics operator, contractor for certain types of work, cargo terminal, checkpoint, etc.) or the optimal delivery route. The choice of optimal options for logistics chains of cargo delivery is based on their alternatives, which largely determines the efficiency of cargo transportation. This research considers the simplest version of the logistics chain for the delivery of goods by road in international traffic, which consists of a shipper, a carrier in the country of the shipper, a forwarder in the country of the shipper, a customs checkpoint and a consignee. Cargo flows, information flows, and financial flows circulate in the logistics chain, which reflects the technological process of cargo delivery. It is the technological process of cargo delivery with all its components that is simulated using the mathematical apparatus of queuing theory in the form of a network of queuing systems. The developed methodology for analyzing a queuing system network provides for an adequate response to situations arising in the course of its operation and allows adjusting the values of certain parameters and characteristics of the network (number of channels, service intensity, etc.) in order to improve the network operation and ensure an optimal process of servicing the requirements for the delivery of goods in international traffic. The article presents the implementation of the model for analyzing the logistics chain of cargo delivery in the environment of the Excel spreadsheet processor in order to find the absolute throughput of the system and the average number of requirements in the network. The proposed model for analyzing logistics chains of cargo delivery is used in the educational process of the Department of International Transportation and Customs Control of the National Transport University in teaching the discipline "Models and Methods of Optimization of Transportation in International Traffic" for masters of specialty 275 - Transport Technologies (by type). Currently, research is being conducted on the application of the developed methodology for analyzing the a mass delivery network systems for more complex logistics chains of cargo delivery, namely: a variant of the logistics chain with two forwarders, a variant of the logistics chain with one terminal, a variant of the logistics chain with two terminals and a variant of the logistics chain with two terminals and the n-th number of transit countries. Upon completion of these studies, it is planned to transfer the developed methodological and software to the Scientific and Consulting Center of the Association of International Road Carriers of 109 Ukraine for use in the educational process of training management personnel of road transport enterprises of AsMAP of Ukraine

Keywords:

freight transportation; logistics chain; queuing system network; optimization; absolute system throughput; average number of requirements

References

  1. Nazarova, A.P., & Prokudin, G.S. (2023). Models of alternative options of logistics chains of cargo delivery. Scientific Notes of V.I. Vernadsky Tavria National University. Series: Technical Sciences, 34(73) No. 2, 189–193. https://doi.org/10.32782/2663-5941/2023.2.2/32
  2. Prokudin, G.S., & Nazarova, A.P. (2023). Options for logistics chains. In All-Ukrainian Scientific Conference of Students and Young Scientists "Reconstruction of the Transport Infrastructure of Ukraine". Collection of abstracts, Kyiv: NTU, 165. ISBN: 978-966-632-319-7 (Online). https://doi.org/10.33744/978-966-632-319-7-2023-1
  3. https://drive.google.com/file/d/1BPUIQTS6nHmawNOm08w_Df-3kj1Q7l3y/view
  4. Prokudin, G., Chupaylenko, O., Lebid, V., Denys, O., Khobotnia, T., & Nazarova, A. (2022). Logistics of freight transportation and customs service in international transportation. In Logistics systems: Technological and economic aspects of efficiency (pp. 38–74). Kharkiv: PC TECHNOLOGY CENTER. ISBN 978-617-7319-66-4 (Online). https://doi.org/10.15587/978-617-7319-66-4.ch2
  5. Prokudin, G.S., Chupailenko, O.A., Gilevska, K.Y., & Kolesnyk, Y.O. (2023). Outsourcing of customs and logistics activities in international transportation. In VI International Scientific and Practical Conference "Scientific trends and trends in the context of globalization" (pp. 68–76). Umea, Sweden. ISSN 2709-4685. https://doi.org/10.51582/interconf.19-20.09.2023.006
  6. Kunytska, O.M. (2006). Improving the efficiency of the customs terminal in the performance of international road freight transportation [Candidate thesis, National Transport University]. Kyiv, 136 p.
  7. Litvinov, A.L. (2018). Theory of a mass service system: a textbook. Kharkiv: Kharkiv National University of Urban Economy named after A.M. Beketov, 141 p.
  8. Prokudin, G.S., Nazarova, A.P., Polishchuk, A.M., & Labunets, Y.V. (2023). Model for analyzing logistics chains of cargo delivery. In XVI International Scientific and Practical Conference "Modern Technologies and Prospects for the Development of Road Transport" (pp. 300–302). Vinnytsia: Vinnytsia National Technical University.
  9. Prokudin, G.S., Nazarova, A.P., Khobotnya, T.G., & Prokudina, I.I. (2023). System for analyzing the mass service system network of logistics delivery chains. In International Scientific and Practical Conference "Smart Transport and Integrated Transport Technologies" (pp. 47–49). Kharkiv: Kharkiv National Automobile and Road University.
  10. Kunda, N.T. (Ed.). (2008). Research of operations in transport systems: a textbook for students of the direction "Transport Technologies" of higher education institutions. Kyiv: Slovo Publishing House, 400 p.
  11. Prokudin, G.S., Maidanyk, K.O., Redich, Y.A., & Remekh, I.O. (2018). Optimization of cargo delivery schemes in international traffic. In Abstracts of the VIII International Scientific and Practical Conference "Integrated Quality Assurance of Technological Processes and Systems" (Vol. 2, pp. 239–240). Chernihiv: Chernihiv National Technological University.
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https://doi.org/10.33744/2308-6645-2023-3-57-099-109

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