CONTSIM–Container Terminal Management with Simulation

Clausen, Uwe; Kaffka, Jan; Meier, Fabian

doi:10.1016/j.sbspro.2012.09.752

Cited by 11 publications

(5 citation statements)

References 3 publications

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“…Sun et al [18] used an improved multi-agent system to represent the various operating processes and different equipment of the container terminal based on the Microport simulation platform, which greatly reduced the modelling work and contributed to the planning and design of integrated solutions for the container terminal. Clausen et al [19] used ContSim to model the container terminal and identify the factors that restrict the efficiency of container terminal operations, aiming to obtain the best operational strategy to improve efficiency. He et al [20] proposed a simulation optimisation method, which integrates the genetic algorithm (GA) searching and simulation to improve the loading and unloading efficiency of container terminals by sharing inner cards among multiple container terminals.…”

Section: Literature Reviewmentioning

confidence: 99%

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Analysis of Container Terminal Handling System Based on Petri Net and ExtendSim

Du¹,

Liu²,

Guo³

2023

PROMTT

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The container terminal handling system plays an important role in marine transportation, and improving its efficiency has become a big challenge. Therefore, this paper proposes an analytical method that combines a Petri net with simulation tools. Firstly, the container terminal handling system is abstracted into a Petri net system according to the internal logic of the handling process. Next, eigenvalues of the correlation matrix are calculated to analyse the effectiveness of the Petri net system. Then, the Petri net system is simulated using the Extend-Sim software. The result suggests that, after optimising, the handling capacity of the berth is clearly improved. Using the Petri net and simulation tools together to analyse the container terminal system is the innovation and the most important aspect of this paper. Because the combination of a Petri net and simulation can not only ensure the reliability of the model but also optimise the container terminal handling system more intuitively.

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Section: Literature Reviewmentioning

confidence: 99%

“…The outer truck for the container loading operation p 40 The outer truck that finished the container unloading task p 19 The outer truck with imported containers p 41…”

Section: Places Pmentioning

confidence: 99%

Analysis of Container Terminal Handling System Based on Petri Net and ExtendSim

Du¹,

Liu²,

Guo³

2023

PROMTT

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“…The models were compared to the observed real data by analyzing the so-called local and global performance indicators to come out with the best one. Clausen et al 32 developed an object-oriented based simulation tool called ''ContSim'' for container terminal management which allows in addition to material flow simulation, the simulation of the information flow in order to determine to best mix of operating strategies. Regarding layout design problem, Liu et al 33 developed simulation models to investigate different maritime terminal configurations in terms of costs and operational performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Proposal of a module-driven architecture for building simulation models devoted to container terminals: dilemmas in applying generic, flexible, and modular principles

2023

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Container terminals are complex systems where containerized cargo undergoes a set of processing and handling operations to be delivered to their outgoing modes. A pool of decision support methods and simulation models has been developed to assist planners and managers in making decisions about daily operations. Nevertheless, most are designed for a particular terminal and not generic types. Indeed, a generic model serves as a conceptual factory to create specific models which greatly reduces the time and efforts of development; however, building such a model is no mean feat. To this aim, the paper on hand discusses the complexity of applying genericity, flexibility, and modularity in system modeling and proposes a generic architecture to build modular and flexible simulation models for container terminals. This architecture is split into a set of smaller, manageable, well-connected, and generic modules that facilitate the creation of highly parametrized specific models. An illustrative example of the architecture usage is presented in a case study, the new container terminal of Stockholm, and the resulting models were validated by subject matter experts. Finally, to prove its efficiency, a numerical study fed with real data is conducted to investigate the handling capacity of the studied system under different handling and flow scenarios. The obtained results show that the terminal handling capacity can be increased by around 50% if three to four more straddle carriers are added to the existing fleet.

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“…Those solutions contain modules for depiction of multimodal terminals and mathematical heuristics for optimal control of handling equipment, allocation of loading points and yard-management [3,4,10,11,12] or simulative descriptions of Carbon Footprints in supply chains or great logistic networks [18,19].…”

Section: Simulation Of Energy Consumption In Multimodal Transportmentioning

confidence: 99%

Allocation of Greenhouse Gas Emissions for Containers in Multimodal Transshipment Terminals using Simulation

Clausen¹,

Poeting²

2017

SNE

Self Cite

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The assessment of emissions caused by logistics operations in general and their allocation to individual customers in particular are major challenges for logistics service providers. Presently, numerous standards and guidelines exist (e.g. ISO 14064-1, ISO 14065, DIN EN 14040, DIN EN 14044, DIN EN 16258, PAS 2050) for the calculation of Greenhouse Gas (GHG) emissions caused by logistics processes. To support container terminal operators to determine their emissions, we use simulation to allocate overall emissions in a container terminal to a single container handling. To approach this goal, at first this paper describes the measurement of energy consumption from the handling equipment. After that, the paper shows the simulation approach to allocate the emissions.

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CONTSIM–Container Terminal Management with Simulation

Cited by 11 publications

References 3 publications

Analysis of Container Terminal Handling System Based on Petri Net and ExtendSim

Analysis of Container Terminal Handling System Based on Petri Net and ExtendSim

Proposal of a module-driven architecture for building simulation models devoted to container terminals: dilemmas in applying generic, flexible, and modular principles

Allocation of Greenhouse Gas Emissions for Containers in Multimodal Transshipment Terminals using Simulation

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