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Browsing by Author "Matsiuk, Viacheslav"

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    Agent-Based Simulation Model of Multimodal Iron Ore Concentrate Transportation
    (National University of Life and Environmental Sciences of Ukraine, Kyiv, 2023) Namazov, Manafaddin; Matsiuk, Viacheslav; Bulgakova, Iuliia; Nikolaienko, Iryna; Vernyhora, Roman V.
    ENG: Most global supply chains are implemented through the use of some different types of transport. This especially applies to general cargo: iron ore, oil, grain. As the participants in the transport process increase, the risks of delays, interoperational downtime, and delays in deliveries increase. Therefore, the improvement of multimodal cargo transportation remains an urgent scientific and applied problem. The aim of studying was to research technical and operational parameters of the multimodal supply chain of cargo delivery (on the example of iron ore concentrate). The research's aim of the study was realized by the development of an agent-based simulation model. The simulation model is implemented in the Any Logic Research Edition environment with Java SE, as this toolkit allows combining discrete-event and agent-based approaches in the simulation simultaneously. As a result of the experiment with the developed simulation model, it was found that: 1) approximately 40% of the delivery time is spent waiting for the transport unit to load (8%) and freight being under collecting up to the loading rate into the transport unit (33%); 2) the sensitivity experiment of the model has determined that of all the variable technological parameters of the basic model, the difference in the ratio between the rate of loading of the railway train and the sea vessel has the greatest influence on the average time of freight delivery; 3) the relationship between the capacity of the vessel (with a constant rate of mass shipment into the railway train) and the average time of shipment collecting to the rate of loading into the vessel in case of accidental arrival of freight by rail in the transshipment terminal is highly approximate linear dependence. The results of the research can be used to improve the logistics chains for the delivery of iron ore concentrate from Ukraine to other countries.
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    Crisis and Risk Engineering for Transport Services
    (Talcom, Kyiv, 2022) Chernova, Nataliia S.; Hajiyev, Nofal; Halan, Olha; Matsiuk, Viacheslav; Bulgakova, Iuliia; Khurshudov, Ilgar; Najimov, Arif; Valiyeva, Sapargul; Hudaygulyyev, Nuraly; Demchenko, Yevhen B.; Dorosh, Andrii S.; Khara, Maryna; Nikolaienko, Iryna; Lyamzin, Andrii; Samsonkin, Valerii; Meredova, Maral; Halmamedov, Habib; Yurchenko, Oksana; Myradov, Yolly; Garajayev, Atageldi; Dashdamirov, Fuad; Zohrabov, Nijat; Sharifov, Allahverdi; Chernova, Nataliia S.; Lewczuk, Konrad
    ENG: Materials of scientific and practical research within the framework of the implementation of the project of the program of the European Union Erasmus+ «Crisis and Risks Engineering for Transport Services» (CRENG) are presented in the monograph. Issues of the impact of crisis situations on the work of transport enterprises and ways to increase the efficiency of the functioning of transport and logistics systems in conditions of crises and risks are considered. The publication is intended for scientific and pedagogical workers, graduate students and students of higher education, as well as managers and specialists of industrial enterprises and business structures, who are interested in the current state and prospects of the development of scientific research.
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    Development of a Simulation Model of Grain Delivery in Global Supply Chains
    (National University of Life and Environmental Scienсes of Ukraine, Kyiv, 2024) Khomenko, Yurii; Matsiuk, Viacheslav; Okorokov, Andrii M.; Gorobchenko, Oleksandr
    ENG: The main export shipments of grain to Ukraine are carried out through commercial seaports of the Black Sea, while the complex and multiphase transportation process creates delays and leads to additional costs at the points of connection of various types of transport. The purpose of the study was the process of transporting grain cargo for export through commercial seaports. Ukraine is a developed agricultural country that produces a significant share of the world’s grain volume, most of which is exported. The optimisation simulation model of multimodal grain cargo transportation developed in the study, in contrast to the existing ones, is a multiphase process with many initial parameters, subsystems, and technological elements that adequately reflect all components of the technological process of organising transportation by road, rail, and sea, and helps to optimise these processes. The model consists of several transport and technological subsystems, each of which corresponds to the process of grain transportation by road, rail, or water. The minimum total duration of cargo transportation from the place of origin to the moment of sending grain cargo for export by sea was chosen as the optimal criterion. To establish the minimum required number of replications and the minimum required model time, a series of experiments were performed, where the key and systematic modelling measurement parameter is the total time of grain delivery by land, from the point of origin to the sea trade terminal. As a result of modelling, the optimal number of rolling stock of different types of transport and the transportation time for each phase of the process were determined. Logistics operators of the agro-industrial sector can apply the model to improve grain delivery routes and schemes, evaluate and improve technological parameters, and minimise transportation time and costs.

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