SIMULATION MODEL OF THE FUNCTIONING OF THE LOGISTICS SYSTEM FOR THE SUPPLY OF GRAIN CARGOES FROM UKRAINE TO THE COUNTRIES OF THE WORLD
DOI:
https://doi.org/10.33042/2522-1809-2024-6-187-295-301Keywords:
model, logistics, supply, grain, international transportAbstract
The article analyses the existing developments in the logistics of grain and similar cargoes in international systems. Due to the increase in logistics costs, Ukrainian agricultural companies receive a lower price compared to world market prices - they have to bear the costs caused by an inefficient logistics system. Therefore, it is necessary to develop a simulation model of the logistics system for the supply of grain cargo from the producer to the seaport of departure, as the main hub of communication with ports around the world. And the modelling will allow us to determine the level of influence of the obtained data on the transport material flow on the efficiency of decision-making. It is proposed to build models based on Petri nets, which allow to study the behaviour of an object in real time by assessing the performance of the system without forecast data. Today, the logistics system of grain cargo delivery in Ukraine has a structure based on the interaction of participants: agricultural companies as producers and organisers of grain exports, farmers, transport and logistics companies, as well as the existing infrastructure of Ukrainian and foreign ports, railways, and roads. This principle of interaction allowed us to build a structural model of functional interaction in the grain supply system. Based on this interaction and the principles of organising the supply of grain cargoes from production (harvesting) to the port of departure, a two-tier model of the functioning of this logistics system was developed. At the top are models of data collection and processing by an agricultural company, and at the bottom is a simulation model of the logistics system. A simulation model of grain cargo movement from the sender to the seaport of departure based on Petri nets has been built, which reflects the structure of relationships between the elements of the system and the dynamics of changes in its states in a compact form. On the basis of the built model, a simulation was carried out for three variants of distribution of cargo flow by two modes of transport. It has been determined that the option of uniform distribution of grain cargo between road and rail transport allows to save time.
References
Gupta, H., Yadav, A.K., Kusi-Sarpong, S., Khan, S.A. & Sharma, S.C. (2022) Strategies to overcome barriers to innovative digitalisation technologies for supply chain logistics resilience during pandemic. Technology in Society, 69, 101970.
Chen, D., Sun, D., Yin, Y., Dhamotharan, L., Kumar, A. & Guo, Y. (2022) The resilience of logistics network against node failures. International Journal of Production Economics, 244, 108373.
Cao, R., Hao, L., Wang, F. & Gao, Q. (2019) Modelling and analysis of hybrid stochastic timed Petri net. Journal of Control and Decision. 6(2), 90-110.
Ukraine increased the volume of grain exports last year: what revenue was received. Retrieved from: https://www.unian.ua/economics/agro/eksport-zerna-skilki-ukrajina-zarobila-minulogo-roku-12544620.html.
Lack of traction. What stops Ukrainian exports Retrieved from: https://biz.nv.ua/publications/defitsit-tjahi-chto-ostanavlivaet-ukrainskij-eksport-2483988.html
Wang, Y., Liu, Y. & Bai, X. (2024) Designing a new robust resilience supply chain network under partial distribution information. Computers & Industrial Engineering, 190, 110028.
Huang, X., Ji, L., Yin, J. & Huang, G. (2024) Optimal design and robust operational management of regional bioethanol supply chain with various technological choices and uncertainty fusions. Computers & Chemical Engineering, 182, 108565.
Pavlenko, O., Muzylyov, D., Trojanowska, J. & Ivanov, V. (2023). Rational Logistics of Engineering Products to the European Union. International Conference on Intelligent Systems in Production Engineering and Maintenance. Springer, 25-38.
Kazancoglu, I., Ozbiltekin-Pala, M., Mangla, S.K., Kazancoglu, Y. & Jabeen, F. (2022) Role of flexibility, agility and responsiveness for sustainable supply chain resilience during COVID-19. Journal of Cleaner Production, 362, 132431.
Muzylyov, D., Medvediev, I. & Pavlenko, O. (2024) Risk factor assessment in agricultural supply chain by fuzzy logic. IOP Conference Series: Earth and Environmental Science, 1376(1), 012038.
Medvediev, I., Muzylyov, D. & Montewka, J. (2024) A model for agribusiness supply chain risk management using fuzzy logic. Case study: Grain route from Ukraine to Poland. Transportation Research Part E: Logistics and Transportation Review, 190, 103691.
Pavlenko, O., Muzylov, D. & Medvediev, Ye. (2024) Model of functioning logistics for supply of specialised vehicles in containers from North American companies to Ukraine. Municipal economy of cities, 182 (1), 248-253.
Yin, W., Ran, W. & Zhang, Z. (2024) A configuration approach to build supply chain resilience: From matching perspective. Expert Systems with Applications, 249 (B), 123662.
Soori, M., Arezoo, B. & Dastres, R. (2023) Artificial neural networks in supply chain management, a review. Journal of Economy and Technology, 1, 179-196.
Zhou, T., Fan, G. & Cai, X. (2022) Modeling Product Traceability Process Based On Petri Nets. Procedia Computer Science, 214, 1460-1466.
About the company "Kernel Trade". Retrieved from: https://www.kernel.ua/ua/about/
Downloads
Published
How to Cite
Issue
Section
License
The authors who publish in this collection agree with the following terms:
• The authors reserve the right to authorship of their work and give the magazine the right to first publish this work under the terms of license CC BY-NC-ND 4.0 (with the Designation of Authorship - Non-Commercial - Without Derivatives 4.0 International), which allows others to freely distribute the published work with a mandatory reference to the authors of the original work and the first publication of the work in this magazine.
• Authors have the right to make independent extra-exclusive work agreements in the form in which they were published by this magazine (for example, posting work in an electronic repository of an institution or publishing as part of a monograph), provided that the link to the first publication of the work in this journal is maintained. .
• Journal policy allows and encourages the publication of manuscripts on the Internet (for example, in institutions' repositories or on personal websites), both before the publication of this manuscript and during its editorial work, as it contributes to the emergence of productive scientific discussion and positively affects the efficiency and dynamics of the citation of the published work (see The Effect of Open Access).
