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.

Integrated of Berth Schedule and Quay Crane Allocation in Container Terminal

2014 ◽  
Vol 513-517 ◽  
pp. 1437-1444
Author(s):  
Ji Feng Qian ◽  
Xiao Ning Zhu ◽  
Yong Jun Liu
Keyword(s):  
Genetic Algorithm ◽  
Container Terminal ◽  
Planning Horizon ◽  
Optimization Method ◽  
Planning Model ◽  
Mathematical Planning ◽  
Integrated Optimization ◽  
Quay Cranes ◽  
Container Handling ◽  
Set Up

In order to shorten the total time of the ships in port at a planning horizon, an integrated optimization method for berth schedule and quay crane allocation was developed. Interrelation between berth and quay crane allocation was analyzed, sharing quay cranes with the adjacent berths was put forward, dynamically allocating the limited quay cranes in the scheduling of handling tasks on each ship, an integer mathematical planning model was set up, and a corresponding genetic algorithm was designed to solve the problem. The result suggests that the method can improve container handling efficiency effectively compared with that of separate allocation.

scholarly journals Evaluation of CO2 emissions and energy use with different container terminal layouts

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Muhammad Arif Budiyanto ◽  
Muhammad Hanzalah Huzaifi ◽  
Simon Juanda Sirait ◽  
Putu Hangga Nan Prayoga
Keyword(s):  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Consumption ◽  
Statistical Analysis ◽  
Energy Use ◽  
Container Terminal ◽  
Container Terminals ◽  
Future Planning ◽  
Container Handling

AbstractSustainable development of container terminals is based on energy efficiency and reduction in CO2 emissions. This study estimated the energy consumption and CO2 emissions in container terminals according to their layouts. Energy consumption was calculated based on utility data as well as fuel and electricity consumptions for each container-handling equipment in the container terminal. CO2 emissions were estimated using movement modality based on the number of movements of and distance travelled by each container-handling equipment. A case study involving two types of container terminal layouts i.e. parallel and perpendicular layouts, was conducted. The contributions of each container-handling equipment to the energy consumption and CO2 emissions were estimated and evaluated using statistical analysis. The results of the case study indicated that on the CO2 emissions in parallel and perpendicular layouts were relatively similar (within the range of 16–19 kg/TEUs). These results indicate that both parallel and perpendicular layouts are suitable for future ports based on sustainable development. The results can also be used for future planning of operating patterns and layout selection in container terminals.

Scheduling of Yard Truck Considering Loading and Unloading Simultaneously in an Underground Container Logistics System

2021 ◽  
pp. 036119812110478
Author(s):  
Yinping Gao ◽  
Daofang Chang ◽  
Jun Yuan ◽  
Chengji Liang
Keyword(s):  
Genetic Algorithm ◽  
Container Terminals ◽  
Mixed Integer ◽  
Operating Efficiency ◽  
Adaptive Genetic Algorithm ◽  
Integer Programming Problem ◽  
Logistics System ◽  
Container Logistics ◽  
Loading And Unloading ◽  
Mixed Integer Programming Problem

With the rapid growth of containers and scarce of land, the underground container logistics system (UCLS) presents a logical alternative for container terminals to better protect the environment and relieve traffic pressure. The operating efficiency of container terminals is one of the competitive edges over other terminals, which requires UCLS to be well integrated with the handling process of the storage yard. In UCLS, yard trucks (YTs) serve different handling points dynamically instead of one fixed handling point, and yard cranes (YCs) perform loading and unloading simultaneously. To minimize the total time of handling all containers in UCLS, the mixed integer programming problem is described and solved using an adaptive genetic algorithm (AGA). The convergence speed and accuracy of AGA are demonstrated by comparison with conventional genetic algorithm (GA). Additionally, AGA and CPLEX are compared with different scale cases. Experimental results show that the proposed algorithm is superior to CPLEX in resulted solutions and calculation time. A sensitivity analysis is provided to obtain reasonable numbers of YTs for scheduling between handling points and the storage yard in UCLS.

Optimizing Solution for Storage Space Allocation Problem in Container Terminal Using Genetic Algorithm

2016 ◽  
pp. 159-184
Author(s):  
Gamal Abd El-Nasser A. Said ◽  
El-Sayed M. El-Horbaty
Keyword(s):  
Genetic Algorithm ◽  
Service Time ◽  
Container Terminal ◽  
Study Data ◽  
Allocation Problem ◽  
Container Terminals ◽  
Storage Space ◽  
Space Allocation ◽  
Storage Space Allocation ◽  
Np Hard Problem

Seaport container terminals are essential nodes in sea cargo transportation networks. In container terminal, one of the most important performance measures in container terminals is the service time. Storage space allocation operations contribute to minimizing the vessel service time. Storage space allocation problem at container terminals is a combinatorial optimization NP-hard problem. This chapter proposes a methodology based on Genetic Algorithm (GA) to optimize the solution for storage space allocation problem. A new mathematical model that reflects reality and takes into account the workload balance among different types of storage blocks to avoid bottlenecks in container yard operations is proposed. Also the travelling distance between vessels berthing positions and storage blocks at container yard is considered in this research. The proposed methodology is applied on a real case study data of container terminal in Egypt. The computational results show the effectiveness of the proposed methodology.

Approximation algorithm for uniform quay crane scheduling at container ports

2016 ◽  
Vol 08 (02) ◽  
pp. 1650018 ◽  
Author(s):  
Ming Liu ◽  
Feifeng Zheng ◽  
Yinfeng Xu ◽  
Chengbin Chu
Keyword(s):  
Approximation Algorithm ◽  
Container Terminals ◽  
Container Port ◽  
Quay Crane Scheduling ◽  
Processing Efficiency ◽  
Crane Scheduling ◽  
Quay Cranes ◽  
Container Ports ◽  
Loading And Unloading ◽  
Turn Around Time

At a container port, container vessels are served by quay cranes for loading and unloading containers. Each vessel is typically split into bays from head to tail where containers are stored. Parallel quay cranes can process different bays simultaneously, and their processing efficiency significantly affects the turn-around time of a container vessel. Sharing a single traveling rail, the quay cranes cannot crossover each other, and this phenomenon is referred as the non-crossing constraint. In addition, the quay cranes may have different processing speeds due to gradual equipment updates. Inspired by updating activities of cranes in modern container terminals, this paper studies a scheduling problem with two uniform quay cranes, aiming at minimizing the turn-around time of a vessel, i.e., the makespan. We mainly develop an integrated approximation algorithm which is [Formula: see text]-approximation, where the two quay cranes are of processing speeds 1 and [Formula: see text], respectively.

scholarly journals Energy efficiency analysis of the manipulation process by the industrial objects with the use of Bernoulli gripping devices

2017 ◽  
Vol 68 (6) ◽  
pp. 496-502 ◽  
Author(s):  
Volodymyr Savkiv ◽  
Roman Mykhailyshyn ◽  
Frantisek Duchon ◽  
Mykhailo Mikhalishin
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Optimization Method ◽  
Efficiency Analysis ◽  
Inertial Forces ◽  
Topical Issue ◽  
Orientation Optimization ◽  
Force Characteristics ◽  
Energy Efficiency Analysis ◽  
Reducing Energy

Abstract The article deals with the topical issue of reducing energy consumption for transportation of industrial objects. The energy efficiency of the process of objects manipulation with the use of the orientation optimization method while gripping with the help of different methods has been studied. The analysis of the influence of the constituent parts of inertial forces, that affect the object of manipulation, on the necessary force characteristics and energy consumption of Bernoulli gripping device has been proposed. The economic efficiency of the use of the optimal orientation of Bernoulli gripping device while transporting the object of manipulation in comparison to the transportation without re-orientation has been proved.

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.

The Empirical Research of Energy Utilization Efficiency in Industrial Sectors Based on DEA-Malmquist

2012 ◽  
Vol 463-464 ◽  
pp. 1025-1029
Author(s):  
Ming Xiang Lu ◽  
Guang Wen Ma ◽  
Yan Long Hu ◽  
Jing Wang
Keyword(s):  
Energy Consumption ◽  
Technical Efficiency ◽  
Energy Production ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Regional Research ◽  
Industrial Sectors ◽  
Production And Consumption ◽  
Consumption Energy ◽  
Reducing Energy

This study selected Sichuan Province of China's energy production and consumption province as the regional research object. It studied energy utilization efficiency in industrial sectors from output of energy consumption, energy utilization technical efficiency, pure technical efficiency, and change index of energy utilization efficiency by the data of energy consumption and GDP. The output of energy consumption and energy utilization efficiency were big difference in industrial sectors. It provided the basis of taking different measures according to the different characteristic in industrial sectors while reducing energy consumption and energy conservation

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 Performance of the Semarang Container Terminal

2020 ◽  
Vol 9 (4) ◽  
pp. 2164-2167
Keyword(s):  
Performance Indicators ◽  
Container Terminal ◽  
Methodological Approach ◽  
Research Work ◽  
Container Terminals ◽  
Literature Study ◽  
Important Indicator ◽  
Major Function ◽  
Terminal Performance ◽  
Loading And Unloading

The number of container boxes handled at the container terminal dynamically fluctuates as a function of a number of parameters. The most prominent variables influencing are the Economics’ National Program, the location and trading characteristics of the terminal, and the land use programs of hinterlands. Further, it is one terminal could serve more than one quay simultaneously. This research was conducted in order to determine the optimal performance of container terminals, along with the utilities to the increase in container terminal services Semarang. The results are expected to reveal the existing problems related to the services of a container terminal, especially regarding the following matters: review and develop performance indicators container terminals that is optimized especially for Semarang container terminal (TPKS), knowing the performance level of the container terminal at TPKS utility, and knowing the number of containers optimal service units, ranging from dock to yard container based on the rate of arrival of containers in TPKS. The research methodology used in this study is as follows: conducting a literature study/library, in order to obtain an overview of problems faced by the Semarang container terminal (TPKS), data collection related to the performance of container terminal, processing and analyzing research data to obtain a technical description of the various parameters needed in evaluating the Container Terminal Performance Indicators, Optimal Value of the service unit loading and unloading containers, ships and goods flow forecasting, producing Container Terminal Performance Indicators, formulate conclusions and recommendations from the results obtained in the performance evaluation process and service optimization Container Terminal loading and unloading of containers. The container terminal performance is an important indicator to evaluate the operational continuity and smoothness, in fulfilling its major function in serving the transportation mechanism of goods. One method to evaluate the container terminal performance is to observe the service level and utility of this terminal. From the evaluation’s results, a program to improve and to enhance the service levels for the future could be designed. The methodological approach accessed in this research work includes BOR (Berth Occupancy Ratio) data collecting, data processing and analysis using multiple methods, and producing a conclusion. The results are also to typical research topics. The study yielded in a BOR for the period till 2015 based on a BOR mooring of 34 - 45 percent. The benefits of this research can be used to improve container terminal performance.

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