Construction of a simulation model for the transportation of perishable goods along variable routes

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.277948

Keywords:

perishable goods, minimum batch, small shipments, simulation modeling, discrete-event modeling, agent-based modeling

Abstract

The object of research is the system of organization of transportation of perishable goods. The study subject is the technological process of transportation of perishable goods by small shipments. The problem solved was a multicriteria optimization of the technological process of delivery of perishable goods by small shipments. The results are the built simulation model for the distribution of small consignments of perishable goods and the optimization according to the criterion of minimizing delivery time while limiting the rational use of available vehicles. To construct a simulation model, discrete-event and agent-based principles were used.

The model built combines the solution to the transport problem and the traveling salesman problem simultaneously with taking into account the stochastic duration of technological operations. When forming the distribution route, the model algorithm takes into account the minimum allowable batch size to the i-th destination, which allows each time to build a new unique route of the vehicle.

Unlike existing ones, the model constructed allows taking into account the peculiarities of the distribution network, the minimum consignment of cargo, and dynamically changing the route in accordance with the available cargo. Each time the cargo mass arrives at the logistics terminal, the condition of a sufficient quantity of goods intended for delivery to points of sale is checked. If the quantity of cargo sufficient for shipment is equal to the capacity of the car body, a new information message is generated on the availability of goods ready for shipment.

Scope and conditions of practical use of the obtained results include transport companies, retail chains, distribution logistics

Author Biographies

Tetyana Anufriyeva, State University of Trade and Economics

Assistant

Department of Trading Business and Logistics

Viacheslav Matsiuk, National University of Life and Environmental Sciences of Ukraine

Doctor of Technical Sciences, Professor

Department of Transport Technologies

Natalya Shramenko, Lviv Polytechnic National University

Doctor of Technical Sciences, Professor

Department of Transport Technologies

Nataliia Ilchenko, State University of Trade and Economics

Doctor of Economic Sciences, Associate Professor, Head of Department

Department of Trading Business and Logistics

Olga Pryimuk, State University of Trade and Economics

PhD, Associate Professor

Department of Trading Business and Logistics

Viktoriia Lebid, National Transport University

PhD, Associate Professor

Department of International Transportation and Customs Control

References

  1. Moskvichenko, I., Stadnik, V., Krysyuk, L. (2022). On determining the optimal schemes for importing frozen fish to Ukraine. Economy and Society, 37. doi: https://doi.org/10.32782/2524-0072/2022-37-31
  2. Mazaraki, A., Matsiuk, V., Ilchenko, N., Kavun-Moshkovska, O., Grygorenko, T. (2020). Development of a multimodal (railroad-water) chain of grain supply by the agent-based simulation method. Eastern-European Journal of Enterprise Technologies, 6 (3 (108)), 14–22. doi: https://doi.org/10.15587/1729-4061.2020.220214
  3. Matsiuk, V., Galan, O., Prokhorchenko, A., Tverdomed, V. (2021). An Agent-Based Simulation for Optimizing the Parameters of a Railway Transport System. ICTERI. Kherson, 121–128.
  4. Matsiuk, V., Ilchenko, N., Pryimuk, O., Kochubei, D., Prokhorchenko, A. (2022). Risk assessment of transport processes by agent-based simulation. AIP Conference Proceedings. doi: https://doi.org/10.1063/5.0105913
  5. Katsman, M. D., Myronenko, V. K., Matsiuk, V. I., Lapin, P. V. (2021). Approach to determining the parameters of physical security units for a critical infrastructure facility. Reliability: Theory & Applications, 16 (1), 71–80. doi: https://doi.org/10.24412/1932-2321-2021-161-71-80
  6. Panchenko, S., Prokhorchenko, A., Dekarchuk, O., Gurin, D., Mkrtychian, D., Matsiuk, V. (2020). Development of a method for studying the impact of the time reserve value on the reliability of the train schedule based on the epidemiological SIR model. IOP Conference Series: Materials Science and Engineering, 1002 (1), 012016. doi: https://doi.org/10.1088/1757-899x/1002/1/012016
  7. Abbas, H., Zhao, L., Gong, X., Faiz, N. (2023). The perishable products case to achieve sustainable food quality and safety goals implementing on-field sustainable supply chain model. Socio-Economic Planning Sciences, 101562. doi: https://doi.org/10.1016/j.seps.2023.101562
  8. Alvarez, A., Cordeau, J.-F., Jans, R., Munari, P., Morabito, R. (2020). Formulations, branch-and-cut and a hybrid heuristic algorithm for an inventory routing problem with perishable products. European Journal of Operational Research, 283 (2), 511–529. doi: https://doi.org/10.1016/j.ejor.2019.11.015
  9. Deng, X., Yang, X., Zhang, Y., Li, Y., Lu, Z. (2019). Risk propagation mechanisms and risk management strategies for a sustainable perishable products supply chain. Computers & Industrial Engineering, 135, 1175–1187. doi: https://doi.org/10.1016/j.cie.2019.01.014
  10. Koszorek, M., Huk, K. (2020). Selected logistics processes in the flow of perishable products. Acta Logistica, 7 (3), 209–215. doi: https://doi.org/10.22306/al.v7i3.181
  11. Lejarza, F., Baldea, M. (2020). Closed-loop real-time supply chain management for perishable products. IFAC-PapersOnLine, 53 (2), 11458–11463. doi: https://doi.org/10.1016/j.ifacol.2020.12.584
  12. Liu, A., Zhu, Q., Xu, L., Lu, Q., Fan, Y. (2021). Sustainable supply chain management for perishable products in emerging markets: An integrated location-inventory-routing model. Transportation Research Part E: Logistics and Transportation Review, 150, 102319. doi: https://doi.org/10.1016/j.tre.2021.102319
  13. Mousavi, R., Bashiri, M., Nikzad, E. (2022). Stochastic production routing problem for perishable products: Modeling and a solution algorithm. Computers & Operations Research, 142, 105725. doi: https://doi.org/10.1016/j.cor.2022.105725
  14. Melkonyan, A., Gruchmann, T., Lohmar, F., Kamath, V., Spinler, S. (2020). Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks. International Journal of Production Economics, 228, 107746. doi: https://doi.org/10.1016/j.ijpe.2020.107746
  15. Vieira, A. A. C., Dias, L. M. S., Santos, M. Y., Pereira, G. A. B., Oliveira, J. A. (2019). Supply chain hybrid simulation: From Big Data to distributions and approaches comparison. Simulation Modelling Practice and Theory, 97, 101956. doi: https://doi.org/10.1016/j.simpat.2019.101956
  16. Orozonova, A., Gapurbaeva, S., Kydykov, A., Prokopenko, O., Prause, G., Lytvynenko, S. (2022). Application of smart logistics technologies in the organization of multimodal cargo delivery. Transportation Research Procedia, 63, 1192–1198. doi: https://doi.org/10.1016/j.trpro.2022.06.124
  17. Shramenko, N., Muzylyov, D., Shramenko, V. (2020). Methodology of costs assessment for customer transportation service of small perishable cargoes. International Journal of Business Performance Management, 21 (1/2), 132. doi: https://doi.org/10.1504/ijbpm.2020.106113
  18. Shramenko, V., Muzylyov, D., Shramenko, N. (2020). Integrated business-criterion to choose a rational supply chain for perishable agricultural goods at automobile transportations. International Journal of Business Performance Management, 21 (1/2), 166. doi: https://doi.org/10.1504/ijbpm.2020.10027634
  19. Saiensus, M. A. (2018). Analysis of cold logistics market in Ukraine: problem and prospects of development. Naukovyi visnyk Uzhhorodskoho natsionalnoho universytetu. Seriya: Mizhnarodni ekonomichni vidnosyny ta svitove hospodarstvo, 20 (3), 18–22. Available at: http://www.visnyk-econom.uzhnu.uz.ua/archive/20_3_2018ua/6.pdf
  20. Tiwari, K. V., Sharma, S. K. (2023). An optimization model for vehicle routing problem in last-mile delivery. Expert Systems with Applications, 222, 119789. doi: https://doi.org/10.1016/j.eswa.2023.119789
  21. Naumenko, M., Valiavska, N., Saiensus, M., Ptashchenko, O., Nikitiuk, V., Saliuk, A. (2020). Optimization Model of the Enterprise Logistics System Using Information Technologies. International Journal of Management, 11 (5), 54–64. Available at: https://ssrn.com/abstract=3628982
  22. Matskul, V., Kovalyov, A., Saiensus, M. (2021). Optimization of the cold supply chain logistics network with an environmental dimension. IOP Conference Series: Earth and Environmental Science, 628 (1), 012018. doi: https://doi.org/10.1088/1755-1315/628/1/012018
  23. Ushakova, I. (2020). Application of computer agent modeling for optimization of the assembly process. Information Processing Systems, 1 (160), 18–25. doi: https://doi.org/10.30748/soi.2020.160.02
  24. Ptytsia, N. (2019). City Retail Network Influence on Transportation Expenses. SHS Web of Conferences, 67, 03011. doi: https://doi.org/10.1051/shsconf/20196703011
Construction of a simulation model for the transportation of perishable goods along variable routes

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Published

2023-04-29

How to Cite

Anufriyeva, T., Matsiuk, V., Shramenko, N., Ilchenko, N., Pryimuk, O., & Lebid, V. (2023). Construction of a simulation model for the transportation of perishable goods along variable routes. Eastern-European Journal of Enterprise Technologies, 2(4 (122), 42–51. https://doi.org/10.15587/1729-4061.2023.277948

Issue

Vol. 2 No. 4 (122) (2023): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2023 Tetyana Anufriyeva, Viacheslav Matsiuk, Natalya Shramenko, Nataliia Ilchenko, Olga Pryimuk, Viktoriia Lebid

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