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With the booming traffic of global container transport, the container port throughput keeps increasing too. As the key node of the maritime network, the handling efficiency of container terminal always determine the efficiency of the whole container transport. In order to improve the handling efficiency of the container terminal, the optimization of yard space is still a challenge for terminal manager. Generally, the whole export block is used to be separated into several clusters to store export containers for different loading liners. In former studies, the unit of template generated is always fixed clusters like subblock, and the concept of flexible loading cluster is seldom touched. The application of flexible loading cluster, where the number of bays, rows and tiers can be changed based on service requirement, is discussed in this research. Thus this study wants to find out the optimal choice of flexible loading clusters and better solutions for export container allocation. A bi-objectives model which considers both the transportation distance and the handling congestions is built. A heuristic approach is developed to solve the real-life cases. We emphasize the possible rehandles during loading process and it is concluded that the application of flexible loading clusters is efficient for uncertain retrieving sequence.
Hang Yu; Jiazhen Ning; Yu Wang; Junliang He; Caimao Tan. Flexible yard management in container terminals for uncertain retrieving sequence. Ocean & Coastal Management 2021, 212, 105794 .
AMA StyleHang Yu, Jiazhen Ning, Yu Wang, Junliang He, Caimao Tan. Flexible yard management in container terminals for uncertain retrieving sequence. Ocean & Coastal Management. 2021; 212 ():105794.
Chicago/Turabian StyleHang Yu; Jiazhen Ning; Yu Wang; Junliang He; Caimao Tan. 2021. "Flexible yard management in container terminals for uncertain retrieving sequence." Ocean & Coastal Management 212, no. : 105794.
Streets functioning as important components of urban public space are not only the primary carriers of traffic but also essential spaces for individuals’ daily activities, including recreation and communication. The paper highlights the social characteristics of streets by integrating them into one single index of vitality. The application of open recourse data combined with empirical research forms the foundation of a quantitative exploration on the street vitality of Zhoujiadu Community in Shanghai. Supported by the ideology of street urbanism, this paper defines the concept of “street vitality”, and then constructs a quantitative evaluation index system. Afterwards, a multiple linear regression model is developed to explore the main influential factors of street vitality. This work evidences the relationship between the environment and citizens’ activities and is beneficial to the potential improvement of street space quality and the enhancement of streets with higher vitality. Results from this work proved that the constituent factors of social function density, mixing degree of social functions, distance from the nearest subway station and green view have strong impacts on street vitality, among which the social function density and mixing degree of social functions are paramount.
Mei Liu; Ying Jiang; Junliang He. Quantitative Evaluation on Street Vitality: A Case Study of Zhoujiadu Community in Shanghai. Sustainability 2021, 13, 3027 .
AMA StyleMei Liu, Ying Jiang, Junliang He. Quantitative Evaluation on Street Vitality: A Case Study of Zhoujiadu Community in Shanghai. Sustainability. 2021; 13 (6):3027.
Chicago/Turabian StyleMei Liu; Ying Jiang; Junliang He. 2021. "Quantitative Evaluation on Street Vitality: A Case Study of Zhoujiadu Community in Shanghai." Sustainability 13, no. 6: 3027.
In recent years, China keeps working on restructuring the country’s multimodal transport and highly develops the high-speed rail (HSR) infrastructure to improve transport efficiency. As the economic engine of China, the Yangtze River Delta region keeps leading the HSR development and the transporting modal transformation within the whole country. The fast development of HSR on the one hand highly improves passengers’ travel efficiency and, on the other hand, releases the capacity of conventional rail infrastructures to support regional multimodal freight transport. This study applies a three-level AHP structure and constructs a comprehensive index to evaluate the development of a rail-based multimodal freight transport network including railway, rail-water, and rail-road. The comprehensive index contains 14 quantitative and 8 qualitative indexes, covering the rail-based infrastructures, multimodal transport capability, freight transport performance, and transport sustainability. The comprehensive index is then applied to analyze the rail-based multimodal freight transport for the Yangtze River Delta region. The operational data of 59 freight stations and more than 200 railway links of the Yangtze River Delta were recorded. About 172 valid questionnaires were collected to score the qualitative indexes, and all the quantitative indexes are scored based on the real-life freight data. The results reveal the impacts of HSR development on rail freight transportation and show that Zhejiang has led rail freight transportation while Shanghai mainly leads the waterway freight transportation. Meanwhile, Anhui performs very well on road-rail transportation and Jiangsu has made a great improvement on water-rail transportation.
Junliang He; Minghui Wei; Hang Yu; Jun Yuan; Yanbing Chen. Evaluating the Rail-Based Multimodal Freight Transportation after HSR Entry in Yangtze River Delta Economics Zone. Scientific Programming 2021, 2021, 1 -14.
AMA StyleJunliang He, Minghui Wei, Hang Yu, Jun Yuan, Yanbing Chen. Evaluating the Rail-Based Multimodal Freight Transportation after HSR Entry in Yangtze River Delta Economics Zone. Scientific Programming. 2021; 2021 ():1-14.
Chicago/Turabian StyleJunliang He; Minghui Wei; Hang Yu; Jun Yuan; Yanbing Chen. 2021. "Evaluating the Rail-Based Multimodal Freight Transportation after HSR Entry in Yangtze River Delta Economics Zone." Scientific Programming 2021, no. : 1-14.
In recent years, the bottleneck of yard operation in container terminals has become more and more prominent. For resolving the departure delay problem of vessels, this paper proposes a mixed integer programming model considering the operation time requirements of vessels in a container terminal. It can optimize the yard template plan by reasonably arranging the number of loading clusters of each vessel in the yard, and meanwhile, enhance the efficiency of management in yard and lower the departure delay of vessels. Moreover, a case study is presented to illustrate the proposed model and sensitivity analysis is conducted in the numerical experiments to verify the effectiveness of the proposed model.
Junliang He; Zhaowei Jin; Caimao Tan; Yu Wang; Hang Yu. Yard Template Generation in a Container Terminal Considering Time Requirement of Vessel Operation. Asia-Pacific Journal of Operational Research 2021, 1 .
AMA StyleJunliang He, Zhaowei Jin, Caimao Tan, Yu Wang, Hang Yu. Yard Template Generation in a Container Terminal Considering Time Requirement of Vessel Operation. Asia-Pacific Journal of Operational Research. 2021; ():1.
Chicago/Turabian StyleJunliang He; Zhaowei Jin; Caimao Tan; Yu Wang; Hang Yu. 2021. "Yard Template Generation in a Container Terminal Considering Time Requirement of Vessel Operation." Asia-Pacific Journal of Operational Research , no. : 1.
At present, hub airport is facing a lot of emergency situations, e.g., the management of irregular flight, which affects the sustainable development of the airport. Most of the methods for evaluating the robustness of airport gate assignment have been proposed by giving an independent evaluation function based on their experience, and thus, subjective factors are involved in varying degrees. Therefore, this paper puts forward an objective evaluation method based on the analysis of airport flight arrival, which gives a digital transformation strategy for the airport resource scheduling. A novel evaluation method based on data analysis of flight arrival time, and a mathematical model are formulated accordingly. In order to solve the proposed NP-hard problem, a new hybrid genetic algorithm combined with a heuristic algorithm is designed. In numerical experiments, the actual flight data of an international hub airport are used to analyze and verify the effectiveness of the proposed method. The results showed the advantages in scheme stability, operating cost savings, and risk reduction of the proposed method.
Caimao Tan; Junliang He. Robust Airport Gate Assignment Based on the Analysis of Flight Arrival Time. Mathematical Problems in Engineering 2021, 2021, 1 -8.
AMA StyleCaimao Tan, Junliang He. Robust Airport Gate Assignment Based on the Analysis of Flight Arrival Time. Mathematical Problems in Engineering. 2021; 2021 ():1-8.
Chicago/Turabian StyleCaimao Tan; Junliang He. 2021. "Robust Airport Gate Assignment Based on the Analysis of Flight Arrival Time." Mathematical Problems in Engineering 2021, no. : 1-8.
The berth allocation and quay crane assignment problem (BACAP) is a complex port operation planning problem susceptible to uncertainties, such as vessel arrival time fluctuation to its estimated time of arrival and maritime markets. For promoting reliability and sustainability of container terminals, this paper addresses the optimization of BACAP under the uncertain vessels’ arrival times and fluctuation of loading and unloading volumes. We propose a proactive BACAP strategy considering minimum recovery cost under uncertainty using a reactive strategy. A stochastic programming model is formulated to minimize the basic cost in the baseline schedule, and the recovery cost in real uncertain scenarios. A two-stage meta-heuristic framework based on GA is developed for solving this problem. Numerical experiments and scenario analysis are conducted to validate the effectiveness of the proposed model and the proposed solution approaches.
Caimao Tan; Junliang He. Integrated proactive and reactive strategies for sustainable berth allocation and quay crane assignment under uncertainty. Annals of Operations Research 2021, 1 -32.
AMA StyleCaimao Tan, Junliang He. Integrated proactive and reactive strategies for sustainable berth allocation and quay crane assignment under uncertainty. Annals of Operations Research. 2021; ():1-32.
Chicago/Turabian StyleCaimao Tan; Junliang He. 2021. "Integrated proactive and reactive strategies for sustainable berth allocation and quay crane assignment under uncertainty." Annals of Operations Research , no. : 1-32.
Due to high labour costs and difference of QC driver’s handling efficiency existing between day and night, factors concerning QC drivers can significantly impact the schedule of berth allocation and quay crane assignment. This paper tackles the berth allocation and quay crane assignment problem considering QC driver cost, difference of the operating efficiency and performance-related pay between day and night. How QC driver-related factors affect the schedules is analyzed, and the objective composition including QC driver cost is given. A mixed integer programming model with model acceleration algorithms is developed for the proposed problem, and a meta-heuristic framework including a three-stage algorithm is proposed for solving the problem. Numerical experiments are conducted to validate the effectiveness of the proposed model and performance of the meta-heuristic approach, leading to a multitude of managerial insights.
Junliang He; Yu Wang; Caimao Tan; Hang Yu. Modeling berth allocation and quay crane assignment considering QC driver cost and operating efficiency. Advanced Engineering Informatics 2021, 47, 101252 .
AMA StyleJunliang He, Yu Wang, Caimao Tan, Hang Yu. Modeling berth allocation and quay crane assignment considering QC driver cost and operating efficiency. Advanced Engineering Informatics. 2021; 47 ():101252.
Chicago/Turabian StyleJunliang He; Yu Wang; Caimao Tan; Hang Yu. 2021. "Modeling berth allocation and quay crane assignment considering QC driver cost and operating efficiency." Advanced Engineering Informatics 47, no. : 101252.
Food safety is of the top priority and always causes the country’s high attention. To predict the popularity of public opinion on food safety is helpful for dealing with public events related with food safety. This paper proposes a popularity prediction model based on LSTM and attention mechanism. Firstly, an index system for evaluating the popularity of Internet public opinion is proposed, where the index weight is determined by information entropy. Different from existing prediction methods, the proposed model uses multi-index public opinion collected from multiple platforms to calculate the total popularity, and adopts an attention mechanism to capture the interaction between different indexes and platforms. The case of “LaTourangelle walnut oil” was selected for analysis. The result shows that the proposed prediction model out performes other two classical models and can predict the development trend of food safety events more accurately.
Bo Song; Xiaofen Gu; Junliang He; Wei Yan; Tianjiao Zhang. Popularity Prediction of Food Safety Internet Public Opinion Using LSTM and Attention Mechanism. Advances in Intelligent Systems and Computing 2020, 144 -152.
AMA StyleBo Song, Xiaofen Gu, Junliang He, Wei Yan, Tianjiao Zhang. Popularity Prediction of Food Safety Internet Public Opinion Using LSTM and Attention Mechanism. Advances in Intelligent Systems and Computing. 2020; ():144-152.
Chicago/Turabian StyleBo Song; Xiaofen Gu; Junliang He; Wei Yan; Tianjiao Zhang. 2020. "Popularity Prediction of Food Safety Internet Public Opinion Using LSTM and Attention Mechanism." Advances in Intelligent Systems and Computing , no. : 144-152.
The storage allocation in the export yard of a container terminal determines the efficiency of container loading. Even if the yard manager has optimised the allocation of export containers to avoid rehandling, conflicts among loading quay cranes can still occur. Thus, all the possible handlings during loading must be considered when organising the yard space. In previous studies, the yard storage allocation has been assessed based on the subblock, which consists of several adjacent bays. However, to minimise all possible handlings in the loading process at the terminal, optimising more flexible storage clusters is also important. Thus, our aim in this research is to model the choice of loading clusters and derive a more flexible allocation strategy for organising the space in the export yard. A bi-objective model is built, which considers both the transportation distance and handling balance between blocks. A model aimed at minimising all possible handlings in the export yard for the loading process is also developed, and several of the insights derived can inform yard management in real-life operations. It is proven that the handling requirements have a significant effect on the choice of loading clusters, and yard managers should consider the various features of liner and loading processes when organising their storage space.
Hang Yu; Mingzhou Zhang; Junliang He; Caimao Tan. Choice of loading clusters in container terminals. Advanced Engineering Informatics 2020, 46, 101190 .
AMA StyleHang Yu, Mingzhou Zhang, Junliang He, Caimao Tan. Choice of loading clusters in container terminals. Advanced Engineering Informatics. 2020; 46 ():101190.
Chicago/Turabian StyleHang Yu; Mingzhou Zhang; Junliang He; Caimao Tan. 2020. "Choice of loading clusters in container terminals." Advanced Engineering Informatics 46, no. : 101190.
Adverse weather condition is one of the inducements that lead to supply uncertainty of an urban transportation system, while travelers’ multiple route choice criteria are the nonignorable reason resulting in demand uncertainty. This paper proposes a novel stochastic traffic network equilibrium model considering impacts of adverse weather conditions on roadway capacity and route choice criteria of two-class mixed roadway travellers on demand modes, in which the two-class route choice criteria root in travelers’ different network information levels (NILs). The actual route travel time (ARTT) and perceived route travel time (PRTT) are considered as the route choice criteria of travelers with perfect information (TPI) and travelers with bounded information (TBI) under adverse weather conditions, respectively. We then formulate the user equilibrium (UE) traffic assignment model in a variational inequality problem and propose a solution algorithm. Numerical examples including a small triangle network and the Sioux Falls network are presented to testify the validity of the model and to clarify the inner mechanism of the two-class UE model under adverse weather conditions. Managerial implications and applications are also proposed based on our findings to improve the operation efficiency of urban roadway network under adverse weather conditions.
Chenming Jiang; Linjun Lu; Junliang He; Caimao Tan. A Two-Class Stochastic Network Equilibrium Model under Adverse Weather Conditions. Journal of Advanced Transportation 2020, 2020, 1 -14.
AMA StyleChenming Jiang, Linjun Lu, Junliang He, Caimao Tan. A Two-Class Stochastic Network Equilibrium Model under Adverse Weather Conditions. Journal of Advanced Transportation. 2020; 2020 ():1-14.
Chicago/Turabian StyleChenming Jiang; Linjun Lu; Junliang He; Caimao Tan. 2020. "A Two-Class Stochastic Network Equilibrium Model under Adverse Weather Conditions." Journal of Advanced Transportation 2020, no. : 1-14.
Yard template is a space assignment at the tactical level, which is kept unchanged within a long period of time and significantly impacts the handling efficiency of a container terminal. This paper addresses a yard template planning problem considering uncertainty and traffic congestion. A two-stage stochastic programming model is formulated for minimizing the risk of containers with no available slots in the designated yard area and minimizing total transportation distances. The first-stage model is formulated for assigning vessels in each block without considering the physical location properties of blocks, and the second-stage model is formulated for designating physical locations to all blocks. Subsequently, a solving framework based on genetic algorithm is proposed for solving the first-stage model, and the CPLEX (a commercial solver) is used for solving the second-stage model. Finally, numerical experiments and scenario analysis are conducted to validate the effectiveness of the proposed model and the efficiency of the proposed solution approach.
Junliang He; Caimao Tan; Wei Yan; Wei Huang; Mei Liu; Hang Yu. Two-stage stochastic programming model for generating container yard template under uncertainty and traffic congestion. Advanced Engineering Informatics 2020, 43, 101032 .
AMA StyleJunliang He, Caimao Tan, Wei Yan, Wei Huang, Mei Liu, Hang Yu. Two-stage stochastic programming model for generating container yard template under uncertainty and traffic congestion. Advanced Engineering Informatics. 2020; 43 ():101032.
Chicago/Turabian StyleJunliang He; Caimao Tan; Wei Yan; Wei Huang; Mei Liu; Hang Yu. 2020. "Two-stage stochastic programming model for generating container yard template under uncertainty and traffic congestion." Advanced Engineering Informatics 43, no. : 101032.
Wei Yan; Junliang He; Amy J.C. Trappey. Risk-aware supply chain intelligence: AI-enabled supply chain and logistics management considering risk mitigation. Advanced Engineering Informatics 2019, 42, 1 .
AMA StyleWei Yan, Junliang He, Amy J.C. Trappey. Risk-aware supply chain intelligence: AI-enabled supply chain and logistics management considering risk mitigation. Advanced Engineering Informatics. 2019; 42 ():1.
Chicago/Turabian StyleWei Yan; Junliang He; Amy J.C. Trappey. 2019. "Risk-aware supply chain intelligence: AI-enabled supply chain and logistics management considering risk mitigation." Advanced Engineering Informatics 42, no. : 1.
A large number of mitigation strategies including both technical and operational measures have been proposed to reduce ship energy consumption and hence carbon emissions. Under cost and other practical constraints, when prioritizing among mitigation measures, different data sources such as observed data from physical systems and simulated data from simulation models may be used. Data obtained from different sources have different characteristics in terms of accuracy and data volume. Therefore, it is important to integrate different data sources when evaluating alternative mitigation measures in a systematic and systemic manner. In response, a Gaussian process metamodel based method is proposed to evaluate energy saving measures when different data sources are combined synergistically. In addition, a cost-effectiveness analysis is used to prioritize the mitigation strategies based on cost considerations. A case study is developed to demonstrate the advantages of the proposed method in terms of accuracy and efficiency. All mitigation measures selected in the case study are found to have a negative cost which can translate to both energy and cost savings. Among the evaluated measures, speed reduction has shown to be the most plausible measure in terms of energy savings and marginal cost-effectiveness.
Jun Yuan; Victor Nian; Junliang He; Wei Yan. Cost-effectiveness analysis of energy efficiency measures for maritime shipping using a metamodel based approach with different data sources. Energy 2019, 189, 116205 .
AMA StyleJun Yuan, Victor Nian, Junliang He, Wei Yan. Cost-effectiveness analysis of energy efficiency measures for maritime shipping using a metamodel based approach with different data sources. Energy. 2019; 189 ():116205.
Chicago/Turabian StyleJun Yuan; Victor Nian; Junliang He; Wei Yan. 2019. "Cost-effectiveness analysis of energy efficiency measures for maritime shipping using a metamodel based approach with different data sources." Energy 189, no. : 116205.
Purpose The development of mega container ships and operational pressures puts forward higher requirements on the operational ability of the container terminal. Accordingly, the purpose of this paper is to propose an effective method for quay crane (QC) scheduling of multiple hatches vessel considering double-cycling strategy to improve the operation efficiency and reduce the risk of delay. Design/methodology/approach A mixed integer programming model, which covers the main operational constraints in a container terminal, is formulated to solve the quay crane scheduling problem (QCSP) with a novel objective. Findings A case study is presented and a number of numerical experiments are conducted to validate the effectiveness of the proposed model. Meanwhile, management insights are proposed. The results demonstrate that the proposed method can efficiently solve QCSP in a container terminal, and an interesting finding is that reducing the stack layers on the vessel can improve the operation efficiency of QC. Originality/value A new mathematical model is proposed for QC scheduling at the operational level, which considers the constraints of double-cycling strategy, multiple hatches and hatch covers. The proposed model also provides methods to research the QC double-cycling problem considering the balance between energy cost and operation efficiency.
Junliang He; Hang Yu; Caimao Tan; Wei Yan; Chao Jiang. Quay crane scheduling for multiple hatches vessel considering double-cycling strategy. Industrial Management & Data Systems 2019, 120, 253 -264.
AMA StyleJunliang He, Hang Yu, Caimao Tan, Wei Yan, Chao Jiang. Quay crane scheduling for multiple hatches vessel considering double-cycling strategy. Industrial Management & Data Systems. 2019; 120 (2):253-264.
Chicago/Turabian StyleJunliang He; Hang Yu; Caimao Tan; Wei Yan; Chao Jiang. 2019. "Quay crane scheduling for multiple hatches vessel considering double-cycling strategy." Industrial Management & Data Systems 120, no. 2: 253-264.
As a tactical-level plan, the yard template determines the space allocation in a container terminal yard for all the arriving shipping liners. Generally speaking, the yard template will not change and it may last a matter of years. However, it has to be changed to response to the alteration of shipping liner. This paper investigates the problem of yard template regeneration for container port, which contains multiple container terminals. Firstly, the concept of yard template regeneration as well as the main influencing factors is proposed. Secondly, a multiple-objective mixed integer programming model is formulated which fully considering the minimum transportation cost, minimum template disturbance and maximum space utilization. Moreover, a case study is conducted to intuitively illustrate the regeneration problem of yard template. Finally, performance analysis and sensitivity analysis are performed to validate the effectiveness of the model.
Caimao Tan; Junliang He; Hang Yu. Mathematical modeling of yard template regeneration for multiple container terminals. Advanced Engineering Informatics 2019, 40, 58 -68.
AMA StyleCaimao Tan, Junliang He, Hang Yu. Mathematical modeling of yard template regeneration for multiple container terminals. Advanced Engineering Informatics. 2019; 40 ():58-68.
Chicago/Turabian StyleCaimao Tan; Junliang He; Hang Yu. 2019. "Mathematical modeling of yard template regeneration for multiple container terminals." Advanced Engineering Informatics 40, no. : 58-68.
With the bottleneck of container port has moved from the quay side to the yard area, the operational efficiency of yard crane is becoming increasingly significant to the container terminal. This article studies on the modelling of yard crane (YC) deployment for resource-limited container terminal. Firstly, the models for the basic yard crane deployment are proposed, which include the basic network flow model and the basic mathematical model. Secondly, the extended models are formulated, which can be utilised to deal with the deployment of multi-type yard cranes. Finally, numerical experiments are conducted to verify the effectiveness of the proposed models, e.g., functional test, performance analysis and scenario analysis.
Caimao Tan; Junliang He; Hang Yu; Yunjie Tang. Modelling the problem of yard crane deployment for resource-limited container terminal. International Journal of Industrial and Systems Engineering 2019, 32, 137 .
AMA StyleCaimao Tan, Junliang He, Hang Yu, Yunjie Tang. Modelling the problem of yard crane deployment for resource-limited container terminal. International Journal of Industrial and Systems Engineering. 2019; 32 (2):137.
Chicago/Turabian StyleCaimao Tan; Junliang He; Hang Yu; Yunjie Tang. 2019. "Modelling the problem of yard crane deployment for resource-limited container terminal." International Journal of Industrial and Systems Engineering 32, no. 2: 137.
In a container terminal, the arriving times and handling volumes of the vessels are uncertain. The arriving times of the external trucks and the number of containers which are needed to be brought into or retrieved from a container terminal by external trucks within a period are also uncertain. Yard crane (YC) scheduling is under uncertainty. This paper addresses a YC scheduling problem with uncertainty of the task groups' arriving times and handling volumes. We do not only optimize the efficiency of YC operations, but also optimize the extra loss caused by uncertainty for reducing risk of adjusting schedule as the result of the task groups' arriving times and handling volumes deviating from their plan. A mathematical model is proposed for optimizing the total delay to the estimated ending time of all task groups without uncertainty and the extra loss under all uncertain scenarios. Furthermore, a GA-based framework combined with three-stage algorithm is proposed to solve the problem. Finally, the proposed mathematical model and approach are validated by numerical experiments.
Junliang He; Caimao Tan; Yuting Zhang. Yard crane scheduling problem in a container terminal considering risk caused by uncertainty. Advanced Engineering Informatics 2018, 39, 14 -24.
AMA StyleJunliang He, Caimao Tan, Yuting Zhang. Yard crane scheduling problem in a container terminal considering risk caused by uncertainty. Advanced Engineering Informatics. 2018; 39 ():14-24.
Chicago/Turabian StyleJunliang He; Caimao Tan; Yuting Zhang. 2018. "Yard crane scheduling problem in a container terminal considering risk caused by uncertainty." Advanced Engineering Informatics 39, no. : 14-24.
This article investigates the generation of a resilient yard template, which has the property of resilience under storage demand fluctuations. A stochastic programming model is formulated aiming at minimizing the risk of containers without available storage slots being assigned in the designated area. Furthermore, a corresponding particle swarm optimization algorithm is proposed for solving the model. Finally, numerical experiments are conducted to verify the effectiveness of the proposed model and solution approaches.
Junliang He; Caimao Tan. Modelling a resilient yard template under storage demand fluctuations in a container terminal. Engineering Optimization 2018, 51, 1547 -1566.
AMA StyleJunliang He, Caimao Tan. Modelling a resilient yard template under storage demand fluctuations in a container terminal. Engineering Optimization. 2018; 51 (9):1547-1566.
Chicago/Turabian StyleJunliang He; Caimao Tan. 2018. "Modelling a resilient yard template under storage demand fluctuations in a container terminal." Engineering Optimization 51, no. 9: 1547-1566.
Caimao Tan; Junliang He; Yu Wang. Storage yard management based on flexible yard template in container terminal. Advanced Engineering Informatics 2017, 34, 101 -113.
AMA StyleCaimao Tan, Junliang He, Yu Wang. Storage yard management based on flexible yard template in container terminal. Advanced Engineering Informatics. 2017; 34 ():101-113.
Chicago/Turabian StyleCaimao Tan; Junliang He; Yu Wang. 2017. "Storage yard management based on flexible yard template in container terminal." Advanced Engineering Informatics 34, no. : 101-113.
The container liner shipping industry has stepped into an era of international strategic alliances. Important to these liner alliances is the sharing and allocation of container slots between its member carriers. This paper optimises planning of container ship capacity sharing and co-allocation under a co-charting agreement. First, we explain the concept of this business agreement and its implications on maritime operations. Then, we identify key influencing factors that may affect the decisions of cooperative slot co-allocation. The slot co-allocation problem is modelled as an Integer Programming problem and solved using data from two routes between the United States and Asia. The model determines the optimal slot co-allocation strategies between shipping alliance carriers along allied shipping routes. Computational results indicate that the proposed method is effective in obtaining optimal, cooperative slot sharing strategies that can maximise the total system revenue.
Jihong Chen; Xiang Liu; Xiaohua Zhang; Junliang He; Lihua Luo. Optimal Bilateral Cooperative Slot Allocation for Two Liner Carriers under a Co-Chartering Agreement. Journal of Navigation 2017, 70, 1170 -1182.
AMA StyleJihong Chen, Xiang Liu, Xiaohua Zhang, Junliang He, Lihua Luo. Optimal Bilateral Cooperative Slot Allocation for Two Liner Carriers under a Co-Chartering Agreement. Journal of Navigation. 2017; 70 (5):1170-1182.
Chicago/Turabian StyleJihong Chen; Xiang Liu; Xiaohua Zhang; Junliang He; Lihua Luo. 2017. "Optimal Bilateral Cooperative Slot Allocation for Two Liner Carriers under a Co-Chartering Agreement." Journal of Navigation 70, no. 5: 1170-1182.