Optimizing configuration and scheduling of double 40 ft dual-trolley quay cranes and AGVs for improving container terminal services

2021 ◽  
Vol 292 ◽  
pp. 126019
Author(s):  
Lijun Yue ◽  
Houming Fan ◽  
Mengzhi Ma
Keyword(s):  
Container Terminal ◽  
Quay Cranes

A New Dispatching Model of Automated Lifting Vehicles in Automated Container Terminal with Limited Buffer Space

2013 ◽  
Vol 446-447 ◽  
pp. 1334-1339 ◽  
Author(s):  
Seyed Hamidreza Sadeghian ◽  
Mohd Khairol Anuar Bin Mohd Ariffin ◽  
Say Hong Tang ◽  
Napsiah Binti Ismail
Keyword(s):  
Programming Model ◽  
Container Terminal ◽  
Container Terminals ◽  
Mixed Integer ◽  
Transport Systems ◽  
Buffer Space ◽  
Integrated Scheduling ◽  
Quay Cranes ◽  
Automated Lifting Vehicle ◽  
Large Container

Automation of the processes at the quays of the world's large container ports is one of the answers to the required ever-increasing transshipment volumes within the same timeframe. For such purpose, using new generation of vehicles is unavoidable. One of the automatic vehicles that can be used in container terminals is Automated Lifting Vehicle (ALV). Integrated scheduling of handling equipments with quay cranes can increase the efficiency of automated transport systems in container. In this paper, an integrated scheduling of quay cranes and automated lifting vehicles with limited buffer space is formulated as a mixed integer linear programming model. This model minimizes the makespan of all the loading and unloading tasks for a pre-defined set of cranes in a scheduling problem.

scholarly journals Performance Analysis on Transfer Platforms in Frame Bridge Based Automated Container Terminals

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Hongtao Hu ◽  
Byung Kwon Lee ◽  
Youfang Huang ◽  
Loo Hay Lee ◽  
Ek Peng Chew
Keyword(s):  
Markov Chain ◽  
Performance Analysis ◽  
Markov Chain Model ◽  
Container Terminal ◽  
Container Terminals ◽  
Automated Guided Vehicles ◽  
Chain Model ◽  
Quay Cranes ◽  
Automated Container Terminal ◽  
Multistory Frame

This paper studies a new automated container terminal (ACT) system which utilizes multistory frame bridges and rail-mounted trolleys to transport containers between the quay and the yard. Beside typical ACT systems use trucks or automated guided vehicles for transporting containers between quay cranes and yard cranes, the new design uses three types of handling machines, namely, ground trolleys (GTs), transfer platforms (TPs), and frame trolleys (FTs). These three types of handling machines collaborate with one another to transport containers. This study decomposes the system into several subsystems. Each subsystem has one TP and several FTs and GTs dedicated to this TP. Then, a Markov chain model is developed to analyze the throughput of TPs. At last, the performance of the new ACT system is estimated. Sensitivity analyzes the numbers, and the processing rates of trolleys are conducted through the numeric experiments.

scholarly journals Combined Configuration of Container Terminal Berth and Quay Crane considering Carbon Cost

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jianguo Duan ◽  
Yi Liu ◽  
Qinglei Zhang ◽  
Jiyun Qin
Keyword(s):  
Service Quality ◽  
Carbon Dioxide Emissions ◽  
Carbon Emission ◽  
Container Terminal ◽  
Adaptive Genetic Algorithm ◽  
Carbon Cost ◽  
Quay Cranes ◽  
Reduce Carbon Dioxide ◽  
The Impact ◽  
Operation Cost

Berths and quay cranes are scarce resources in the container terminal system. If the equipment is reasonably planned, the service quality might be improved and the operation cost of the terminal would be reduced. In addition, the competition among ports is not only the competition of the terminal service quality, throughput, and scale but also the competition of low-energy consumption and low pollution. In order to reduce carbon dioxide emissions, this paper developed a multiobjective optimization model for the joint allocation of container terminal berths and Quay cranes. The model is developed based on preference of ships for berths, and the impact of carbon emission cost on terminal operations have been considered. The carbon cost from two aspects, namely, reducing the operation cost of ships and minimizing the average waiting time and departure delay of ships, has been considered. The improved adaptive genetic algorithm has been used to solve the model. A container terminal in Ningbo has been used as a case study. The carbon emission cost of the berths and quay cranes operation system has been calculated. The influence of the variation in carbon emission cost on the berths and quay cranes configuration scheme has been evaluated. The result proves that considering the carbon cost can make the berths and quay cranes operation more green and reasonable. It can be seen that the objective function value of the joint scheme is 5.92% lower than that of the traditional scheme, and the terminal operation cost of carbon emission constraints is 11.76% lower than that of no carbon emission constraints.

Integrated Dispatching Model of Automated Lifting Vehicles, Quay Cranes and Yard Cranes at Automated Container Terminal

2014 ◽  
Vol 564 ◽  
pp. 678-683 ◽  
Author(s):  
Seyed Hamidreza Sadeghian ◽  
M.K.A.M. Ariffin ◽  
S.H. Tang ◽  
N. Ismail
Keyword(s):  
Integer Programming ◽  
Mixed Integer Programming ◽  
Programming Model ◽  
Container Terminal ◽  
Mixed Integer ◽  
Integer Programming Model ◽  
Mixed Integer Programming Model ◽  
Quay Cranes ◽  
Automated Container Terminal ◽  
Loading And Unloading

Integration of various types of handling equipment is one of the important methods to improve the efficiency of processes and productivity of a container terminal. Using ALVs, because of their ability in lifting a container from the ground by themselves, can reduce the delay of loading and unloading tasks in automatic container terminals.In this paper, a mixed-integer programming model, which considers the integration of ALVs, Quay Cranes and Yard Cranes, is developed. This model minimizes the makespan of the loading and unloading activities in an Automatic Container Terminal with limited buffer spaces.

Joint Deployment of Quay Cranes and Yard Cranes in Container Terminals at a Tactical Level

2018 ◽  
Vol 2672 (9) ◽  
pp. 35-46
Author(s):  
Lingxiao Wu ◽  
Shuaian Wang
Keyword(s):  
Integer Programming ◽  
Mixed Integer Programming ◽  
Programming Model ◽  
Container Terminal ◽  
Turnaround Time ◽  
Container Terminals ◽  
Mixed Integer ◽  
Sequential Method ◽  
Quay Cranes ◽  
Proposed Model

This paper discusses tactical joint quay crane (QC) and yard crane (YC) deployment in container terminals. The deployments of QCs and YCs are critical for the efficiency of container terminals. Although they are closely intertwined, the deployments of QCs and YCs are usually sequential. This paper proposes a mixed-integer programming model for the joint deployment of QCs and YCs in container terminals. The objective of the model is to minimize the weighted vessel turnaround time and the weighted delayed workload for external truck service in yard blocks, both of great importance for a container terminal but rarely considered together in the literature. This paper proves that the studied problem is NP-hard in the strong sense. Case studies demonstrate that the proposed model can obtain better solutions than the sequential method. This paper also investigates the most effective combinations of QCs and YCs for a container terminal at various demand levels.

scholarly journals Determining the optimal number of yard trucks in smaller container terminals

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Maja Stojaković ◽  
Elen Twrdy
Keyword(s):  
Container Terminal ◽  
Discrete Event ◽  
Simulation Modelling ◽  
Optimal Number ◽  
Container Terminals ◽  
Main Function ◽  
Productivity Level ◽  
Quay Cranes ◽  
Small Container ◽  
The Right

Abstract Background In 2017, smaller container ports handled approximately 22% of total containerized cargo. Nowadays liner operators are calling on those ports with larger ships and demanding fast and efficient turnaround of the ships in port. This is possible only if the berth has the right capacities, is working properly and achieves a good productivity level. Methodology Productivity level does not depend only on the quay crane capacities but also the transfer mechanisation, of which the main function is to serve quay cranes on one side and yard cranes on the other side. Choosing the correct type and number of vehicles to transfer container units from berth to yard has become a very important decision in every container terminal. Results In small container terminals yard trucks represents the most common type of transfer mechanization. That is why this research is based on the allocation of the right number of yard trucks to quay cranes in order to assure better productivity levels in the berth and yard subsystems. For this purpose, a discrete-event simulation modelling approach is used. The approach is applied to a hypothetical small container terminal, which includes operations on the berth-yard-berth relation.

scholarly journals Optimization Method for Container Quay Crane Operation Based on Energy Saving

2018 ◽  
Vol 53 ◽  
pp. 01011
Author(s):  
Liu Leilei ◽  
Sun Lei ◽  
Zhao Dadi
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Container Terminal ◽  
Optimization Method ◽  
Container Terminals ◽  
Energy Utilization ◽  
Quay Cranes ◽  
Actual Operation ◽  
Loading And Unloading ◽  
Reducing Energy

This paper studies the energy utilization of the quay crane, one of the major energy using equipment for the container terminal. We establish an optimization model for the loading and unloading of the quay crane, use the genetic algorithm to solve it, and verify the validity of the model by actual operation data of container terminals. The results show that the model has a significant effect on reducing energy consumption of quay cranes.

scholarly journals Container Terminal Berth-Quay Crane Capacity Planning Based on Markov Chain

2021 ◽  
Vol 33 (2) ◽  
pp. 267-281
Author(s):  
Meixian Jiang ◽  
Guoxing Wu ◽  
Jianpeng Zheng ◽  
Guanghua Wu
Keyword(s):  
Markov Chain ◽  
Capacity Planning ◽  
Queuing Theory ◽  
Container Terminal ◽  
Transition Probability ◽  
Transfer Model ◽  
Planning Model ◽  
Steady State Probability ◽  
Quay Cranes ◽  
Time Operation

This paper constructs a berth-quay crane capacity planning model with the lowest average daily cost in the container terminal, and analyzes the influence of the number of berths and quay cranes on the terminal operation. The object of berth-quay crane capacity planning is to optimize the number of berths and quay cranes to maximize the benefits of the container terminal. A steady state probability transfer model based on Markov chain for container terminal is constructed by the historical time series of the queuing process. The current minimum time operation principle (MTOP) strategy is proposed to correct the state transition probability of the Markov chain due to the characteristics of the quay crane movement to change the service capacity of a single berth. The solution error is reduced from 7.03% to 0.65% compared to the queuing theory without considering the quay crane movement, which provides a basis for the accurate solution of the berth-quay crane capacity planning model. The proposed berth-quay crane capacity planning model is validated by two container terminal examples, and the results show that the model can greatly guide the container terminal berth-quay crane planning.

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