Academic Journal
View in EDS

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

Bibliographic Details
Title: Agent-based simulation model of multimodal iron ore concentrate transportation.
Alternate Title: Розробка агентної імітаційної моделі мультимодальних перевезень залізорудного концентрату (Ukrainian)
Authors: Namazov, Manafaddin, Matsiuk, Viacheslav, Bulgakova, Iuliia, Nikolaienko, Iryna, Vernyhora, Roman
Source: Machinery & Energetics; 2023, Vol. 14 Issue 1, p46-56, 11p
Subject Terms: Iron ores, Containerization, Cargo ships, Simulation methods & models, Supply chains, Reverse logistics, Transportation rates
Geographic Terms: Ukraine
Abstract: 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]
Copyright of Machinery & Energetics is the property of National University of Life & Environmental Sciences of Ukraine and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
FullText Text:
  Availability: 0
Header DbId: edb
DbLabel: Complementary Index
An: 167448030
RelevancyScore: 926
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 926.038452148438
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Agent-based simulation model of multimodal iron ore concentrate transportation.
– Name: TitleAlt
  Label: Alternate Title
  Group: TiAlt
  Data: Розробка агентної імітаційної моделі мультимодальних перевезень залізорудного концентрату (Ukrainian)
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Namazov%2C+Manafaddin%22">Namazov, Manafaddin</searchLink><br /><searchLink fieldCode="AR" term="%22Matsiuk%2C+Viacheslav%22">Matsiuk, Viacheslav</searchLink><br /><searchLink fieldCode="AR" term="%22Bulgakova%2C+Iuliia%22">Bulgakova, Iuliia</searchLink><br /><searchLink fieldCode="AR" term="%22Nikolaienko%2C+Iryna%22">Nikolaienko, Iryna</searchLink><br /><searchLink fieldCode="AR" term="%22Vernyhora%2C+Roman%22">Vernyhora, Roman</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Machinery & Energetics; 2023, Vol. 14 Issue 1, p46-56, 11p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Iron+ores%22">Iron ores</searchLink><br /><searchLink fieldCode="DE" term="%22Containerization%22">Containerization</searchLink><br /><searchLink fieldCode="DE" term="%22Cargo+ships%22">Cargo ships</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Supply+chains%22">Supply chains</searchLink><br /><searchLink fieldCode="DE" term="%22Reverse+logistics%22">Reverse logistics</searchLink><br /><searchLink fieldCode="DE" term="%22Transportation+rates%22">Transportation rates</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Ukraine%22">Ukraine</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Machinery & Energetics is the property of National University of Life & Environmental Sciences of Ukraine and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=167448030
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.31548/machinery/1.2023.46
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 46
    Subjects:
      – SubjectFull: Ukraine
        Type: general
      – SubjectFull: Iron ores
        Type: general
      – SubjectFull: Containerization
        Type: general
      – SubjectFull: Cargo ships
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: Supply chains
        Type: general
      – SubjectFull: Reverse logistics
        Type: general
      – SubjectFull: Transportation rates
        Type: general
    Titles:
      – TitleFull: Agent-based simulation model of multimodal iron ore concentrate transportation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Namazov, Manafaddin
      – PersonEntity:
          Name:
            NameFull: Matsiuk, Viacheslav
      – PersonEntity:
          Name:
            NameFull: Bulgakova, Iuliia
      – PersonEntity:
          Name:
            NameFull: Nikolaienko, Iryna
      – PersonEntity:
          Name:
            NameFull: Vernyhora, Roman
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: 2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 26631334
          Numbering:
            – Type: volume
              Value: 14
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Machinery & Energetics
              Type: main
ResultId 1