Optimising truck arrival management and number of service gates at container terminals

Minh, Chu Cong; Noi, Nguyen Van

doi:10.1108/mabr-08-2021-0060

Cited by 8 publications

(4 citation statements)

References 17 publications

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“…An agent-based approach at the basis of the planning and capacity of the system for both Assumma and Vitetta [43] who simulated loading and unloading operations and Fleming et al [44] who focused on pooled queue strategies. Finally, concerning traffic at the maritime port, several researchers focus on TAS only simulating terminal process recurring to the Genetic Algorithm (GA) and the Queue theory [45][46][47][48][49].…”

Section: Literature Reviewmentioning

confidence: 99%

Connected Vehicles and Digital Infrastructures: A Framework for Assessing the Port Efficiency

2023

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In logistics and freight distribution, scheduling and cost efficiency are two crucial issues for transportation companies that look with favour at the innovation introduced by Intelligent Transportation Systems (ITS). Moreover, an infrastructure level of service, safety and environmental defence are important for planners and public administrations. In this sense, terminal capacity and landside operations at the maritime infrastructure represent an interesting task for the community. Thus, this paper contributes to the research by: (i) proposing a generic framework for the integration of autonomous and connected vehicles with physical infrastructures; (ii) evaluating the opportunity to manage traffic arrivals according to vehicles’ priority and testing the effects of the introduction of a buffer zone outside the maritime port; (iii) improving efficiency and security within the terminal area by reducing waiting time and avoiding interference between flows. Moreover, the proposal for a discrete-event simulation model to assess terminal capacity in a ro-ro terminal is presented. Therefore, the paper contributes to some critical aspects towards sustainable development. First, regarding policy measures and actions, it proposes a valuable tool to assess what-if scenarios. Secondly, it represents a step forward in the process of smart corridor design for freight vehicles; in fact, it proposes a tool for managing landside operations at maritime ports and focuses on intervention in solving specific barriers and bottlenecks for freight who cross a ro-ro terminal daily. Furthermore, it offers a viable solution for managing connected vehicles in a context where full automation still needs to be achieved. The results evidenced the framework’s capability to deal with the traffic demand, thus improving the efficiency of the terminal landside operations.

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Section: Literature Reviewmentioning

confidence: 99%

Connected Vehicles and Digital Infrastructures: A Framework for Assessing the Port Efficiency

2023

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“…The main goal of this model was to reduce waiting times for both external trucks at the gate and yard, as well as internal trucks within the yard area. Minh et al [16] combined a queuing model with a cost optimization mathematical model to determine the optimal quota of truck arrivals permitted at each time window and the number of service gates operating during each time window. The objective of this integrated approach was to ensure that the average waiting time for trucks at the terminal was kept below a pre-defined time threshold.…”

Section: Classification Based On the Modeling Approachmentioning

confidence: 99%

“…Apart from congestion, other authors focused on minimizing different cost parameters. For instance, Torkjazi et al [3] aimed to reduce drayage costs, while Minh et al [16] sought to optimize the cost experienced at the terminal gates. In addition, Jin et al [6] and Xu et al [8] aimed to minimize overall operations costs.…”

Section: Classification Based On the Study Objectivesmentioning

confidence: 99%

“…Constraint (15) ensures that the total number of YCs moving to each block (j) satisfies the number of YCs required to be delivered. Constraint (16) imposes a restriction on the relocation of yard cranes from any block. This restriction applies when the number of yard cranes available in a specific block is less than the number required to fulfill the workload assigned to that block during each shift.…”

Section: Objective Functionmentioning

confidence: 99%

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A Multi-Stage Approach for External Trucks and Yard Cranes Scheduling with CO2 Emissions Considerations in Container Terminals

Talaat,

Gheith,

Eltawil

2023

Logistics

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Background: In container terminals, optimizing the scheduling of external trucks and yard cranes is crucial as it directly impacts the truck turnaround time, which is one of the most critical performance measures. Furthermore, proper scheduling of external trucks contributes to reducing CO2 emissions. Methods: This paper proposes a new approach based on a mixed integer programming model to schedule external trucks and yard cranes with the objective of minimizing CO2 emissions and reducing truck turnaround time, the gap between trucking companies’ preferred arrival time and appointed time, and the energy consumption of yard cranes. The proposed approach combines data analysis and operations research techniques. Specifically, it employs a K-means clustering algorithm to reduce the number of necessary truck trips for container handling. Additionally, a two-stage mathematical model is applied. The first stage employs a bi-objective mathematical model to plan the arrival of external trucks at the terminal gates. The second stage involves a mathematical model that schedules yard cranes’ movements between different yard blocks. Results: The results show that implementing this methodology in a hypothetical case study may lead to a substantial daily reduction of approximately 31% in CO2 emissions. Additionally, the results provide valuable insights into the trade-off between satisfying the trucking companies’ preferred arrival time and the total turnaround time. Conclusions: The integration of data clustering with mathematical modeling demonstrates a notable reduction in emissions, underscoring the viability of this strategy in promoting sustainability in port-related activities.

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Greening container terminals through optimization: a systematic review on recent advances

Lalla-Ruiz,

López-Plata,

Expósito-Izquierdo

et al. 2024

Current Opinion in Environmental Sustainability

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Optimising truck arrival management and number of service gates at container terminals

Cited by 8 publications

References 17 publications

Connected Vehicles and Digital Infrastructures: A Framework for Assessing the Port Efficiency

Connected Vehicles and Digital Infrastructures: A Framework for Assessing the Port Efficiency

A Multi-Stage Approach for External Trucks and Yard Cranes Scheduling with CO2 Emissions Considerations in Container Terminals

Greening container terminals through optimization: a systematic review on recent advances

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