Agent-based Freight Transport Modelling
Agent-based Freight Transport Modelling
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Agent-based Simulation of Container Terminals
My Master’s coursework student, Rasyid Indra Paratama, developed a detailed agent-based simulation model for Patrick container terminal at Port Botany. The model simulates the terminal entire operation area: quayside, yard, and landside operations while considering the interactions and stochastic nature of operations among the actors in the container terminal.
In his thesis, he investigated the impact of two cooperation mechanisms—utilisation of multi-trailer trucks and backloading operations—on overall container terminal performance. Additionally, he imposed a truck prioritisation strategy for managing the increasing workload in the container terminal due to the rising number of multi-trailer and backloaded trucks.
This research will be presented in the 51st International conference on Computers and Industrial Engineering at UNSW, in 9-11 December 2024.
Modeling the impacts of co-opetition among port freight transport actors
Modeling the impacts of co-opetition among port freight transport actors
Closely working with the Logistics Manager of Port of Brisbane, the result of my PhD research assisted the Port in measuring the efficiency of import/export container supply chain and improving the logistics processes. It also helped me to fine-tune my research according to the industry needs.
As a part of my PhD project, I investigated the likely impact of co-opetition of freight transport agents through an intelligent decision support system in hinterland container transport, or so-called port community system.
In this project, I formulated an optimisation model (Dynamic Vehicle Routing Problem with Time Windows and Capacity constraints), and an agent-based simulation model. The findings showed a huge saving in transportation costs as a result of full cooperation. The agent-based simulation model showed the withdrawal of some bigger actors from cooperation as a result of indifference in ultimate transport cost. This research helped to increase the momentum in the Port of Brisbane around developing a Port Community System and Empty Container Triangulation strategy.
These presentation slides summarises the research I undertook in this space. For further details, please refer to the following publications:
Irannezhad, Elnaz; Prato, Carlo; and Hickman, Mark (2019); An intelligent decision support system prototype for hinterland port logistics; Decision Support Systems. Download Full Text
Irannezhad, Elnaz; Prato, Carlo; Hickman, Mark (2018), The effect of cooperation among shipping lines on transport costs and pollutant emissions. Transportation Research Part D: Transport and Environment, 65, pp. 312-323. Download Full Text
Irannezhad, Elnaz; Hickman, Mark; Prato, Carlo (2017), Modeling the Efficiency of a Port Community System as an Agent–based Process. Procedia of Computer Science, 109, PP 918–923, Elsevier. Download Full Text
This research has been presented in two international conferences as:
Irannezhad, Elnaz, Prato, Carlo, and Hickman, Mark (2018); A Cooperative Model of Inland Container Transportation; The Transportation Research Board (TRB) 97th Annual Meeting; Washington D.C. USA; 7-11 January 2018. Download Full Text.
Irannezhad, Elnaz, Hickman, Mark, and Prato, Carlo (2017), Modeling the Efficiency of a Port Community System as an Agent–based Process. The 8th International Conference on Ambient Systems, Networks and Technologies, Agent-Based Modeling in Traffic and Transportation, ANT-2017, Madeira, Portugal, 16-19 May 2017. Download presentation slides
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