Agent-based simulation model of multimodal iron ore concentrate transportation.

Autor: Namazov, Manafaddin, Matsiuk, Viacheslav, Bulgakova, Iuliia, Nikolaienko, Iryna, Vernyhora, Roman
Předmět:
Zdroj: Machinery & Energetics; 2023, Vol. 14 Issue 1, p46-56, 11p
Abstrakt: Most global supply chains are implemented through the use of different types of transport. This especially applies to general cargo: iron ore, oil, grain. As the number of participants in the transport process grows, the risks of delays, disruptions which can impact interoperability, and delays in deliveries increase. Therefore, the improvement of multimodal cargo transportation remains an urgent scientific and applied problem. The purpose of the study is to cover the technical and operational parameters of the multimodal supply chain of cargo delivery (on the example of iron ore concentrate). The purpose was achieved by the development of an agent-based simulation model. The AnyLogic Research Edition environment with Java SE was used to implement the simulation model, as it enables the integration of discreteevent and agent-based methodologies in the simulation concurrently. The experimental findings using the developed simulation model revealed the following: 1) around 40% of the delivery time is spent on waiting: 8% for the transport unit to load and 33% for the collection of freight until it reaches the loading rate into the transport unit. 2) the sensitivity experiment conducted on the model identified that among all the variable technological parameters in the base model, the difference in the loading rate between the railway train and the sea vessel has the most impact on the average delivery time of freight. 3) there is a strong linear relationship between the vessel capacity (with a constant rate of mass shipment into the railway train) and the average time required for collecting and loading the freight onto the vessel in the event of accidental arrival of freight by rail at the transshipment terminal. The results of the study can be used to improve the logistics chains for the delivery of iron ore concentrate from Ukraine to other countries. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index