An integrated model for resource allocation and scheduling in a transshipment container terminal

Kaysi, Isam; Maddah, Bacel; Nehme, Nabil; Mneimneh, Farah M

doi:10.3328/tl.2012.04.03.143-152

Cited by 8 publications

(7 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finally, a possible direction in our future research is to consider the impact of optimization at the operational level, especially the integration between different types of resources at the container terminal (Kaysi et al, 2012), on tailoring the optimal investment strategy in a container terminal.…”

Section: Port 1 Constraints and Possible Investment Scenariosmentioning

confidence: 99%

Optimal investment strategy in a container terminal: A game theoretic approach

Kaysi

Nehme

2015

Marit Econ Logist

Self Cite

View full text Add to dashboard Cite

A b s t r a c t This article investigates the optimal strategy for potential investments that may be adopted by port authorities to attract more carriers. A mathematical model is formulated to represent the main criteria used by carriers to evaluate a specific port. Then, a game theory approach is used to model the competition between several port authorities to attract carriers via maximizing their utility functions. The game type suggested is Sealed-Bid with one round. The results indicate that the optimal investment strategy used by a specific port is dependent on (i) the port's current state with respect to other competing ports; (ii) resource availability in terms of manpower and funds; (iii) expected profitability and (iv) other players' reaction toward investment. This study advises the port authority on maximizing the payoff in case of winning the bid by selectively investing in the port and minimizing the potential loss in case of losing the bid by refraining from performing any investment.

show abstract

Section: Port 1 Constraints and Possible Investment Scenariosmentioning

confidence: 99%

Optimal investment strategy in a container terminal: A game theoretic approach

Kaysi

Nehme

2015

Marit Econ Logist

Self Cite

View full text Add to dashboard Cite

show abstract

“…Assigning a suitable yard location to an inbound container affects the transfer time of the YTs (Luo et al 2016) as well as the dispatching of the YCs between the yard location blocks (Jiang and Jin 2017). In addition, QC assignment problem was integrated with the storage space assignment problem, under the claim that these problems are intertwined (Kaysi et al 2012), especially when the terminal specifies the allocation of the yard storage space units to vessels (Wang et al 2018). The container relocation or reshuffle is directly related to the YCs in the terminals.…”

Section: Integrated Operationsmentioning

confidence: 99%

“…10, the distribution of the different solution methodologies considered for the integrated operations is presented. Although the number of studies proposing exact methods is presented as 18, which is moderate, the papers solving the proposed integrated approaches via an exact solution method are scarce (Jiang and Jin 2017;Kaysi et al 2012;Kizilay et al 2018;Tan et al 2017b). Due to the computational complexity of the integrated problems, or even individual problems that are considered in an integrated environment, most of the studies provided an exact solution methodology but only applied a heuristic algorithm to solve the problem (Chang et al 2017b;Wu et al 2013), so they were counted in both categories in the figure.…”

Section: Integrated Operationsmentioning

confidence: 99%

A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals

Kızılay

Eliiyi

2020

Flex Serv Manuf J

View full text Add to dashboard Cite

Over the past decades, container transportation has achieved considerable growth, and maritime trade now constitutes 80% of the global trade. The vessel sizes increased in parallel, up to 21,400 TEU (Twenty-foot-equivalent unit container). Accordingly, global containerized trade reached up to 150 million TEU in 2017 (UNCTAD 2018). This growth brings the need to use scientific methods to manage and operate container terminals more economically throughout the globe. In order to manage container transshipment and to use large vessels efficiently, the docking time at the container port for each vessel should be minimized. The decrease in the docking time enables the vessel to move to its next destination faster, decreasing turnover time and facilitating more containers to be transported. Container terminals can be divided into five main areas as the berth, the quay, the storage yard, the transport area, and the gate. The vessels must be berthed in suitable positions, after which many containers have to be unloaded or loaded via quay cranes, transshipped by vehicles inside the terminal, and stacked by yard cranes to suitable positions, all by using expensive equipment. With the invention of new technologies, the bottleneck at the berth side is almost overcome; however, the yard and the quayside operations have to be further perfected to obtain efficient plans. In this comprehensive literature review study, we aim to combine the literature on both yard and quayside operations, carefully examining independently studied problems as well as integrated ones. General information about port operations and relevant literature is provided. For the quayside, the literature on quay crane assignment and scheduling problems is investigated, whereas, for the yard side, yard crane scheduling, transport vehicle dispatching and scheduling, vehicle routing and traffic control, and storage location and space planning problems are reviewed in depth. In addition to these individual problems, their integrations are also analyzed, relevant publications and their respective contributions are explained in detail. Besides the milestone papers that lead the literature on container terminals, recent publications and advances are also reviewed, and managerial insights and future research directions are identified.

show abstract

“…For instance, Kaysi et al [18] developed a linear integer program to solve the problem of allocating a minimum number of cranes used in both quay and yard sides. In order to distribute the workload equally among yard cranes, an exact polynomial-time solution procedure is proposed to allocate yard cranes [19].…”

Section: Introductionmentioning

confidence: 99%

“…Port facilities, referring to handling equipment and trucks, are major energy consumers, and have been becoming the main sources of carbon emissions. For example, according to the data from the Inventory of Air Emissions, the emissions from port facilities in 2016, which accounted for about 18% of total emissions, had increased by 18.6% compared to the data in 2005 [1]. Reducing carbon emissions and the efficient use of port equipment in container terminals are vital to achieving the climate and environmental goal of green port construction [2].…”

Section: Introductionmentioning

confidence: 99%

The Impact of the Allocation of Facilities on Reducing Carbon Emissions from a Green Container Terminal Perspective

et al. 2018

View full text Add to dashboard Cite

Abstract:The main contribution of this paper is to quantify the impact of the allocation of facilities, including the number of facilities and the fuels adopted by facilities, on carbon emissions. In order to deal with the complex queuing network of container terminals, a simulation model is established with the changing of the number of and the fuel adopted by facilities as inputs. Firstly, the operation process and complex queuing network of container terminals are described to explain why simulation technology needs to be used. Then, various simulation experiments based on a container terminal in Algeria are designed and carried out. Finally, the carbon emissions from facilities and ships at berth and inside container terminals, and the total carbon emissions inside container terminals, are obtained and analyzed. Results show that the emissions from facilities are only a small fraction of the total emissions of container terminals. Improving the number of trucks and yard cranes can help reduce carbon emissions, but when the number continues to rise, the emissions are decreased very slightly. The results obtained and proposed method can be applied to build a green container terminal, which can also be used for similar problems.

show abstract

An integrated model for resource allocation and scheduling in a transshipment container terminal

Cited by 8 publications

References 17 publications

Optimal investment strategy in a container terminal: A game theoretic approach

Optimal investment strategy in a container terminal: A game theoretic approach

A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals

The Impact of the Allocation of Facilities on Reducing Carbon Emissions from a Green Container Terminal Perspective

Contact Info

Product

Resources

About