Integrated optimization of pickup sequence and container rehandling based on partial truck arrival information

Zeng, Qingcheng; Feng, Yanjun; Yang, Zhongzhen

doi:10.1016/j.cie.2018.10.024

Cited by 29 publications

(18 citation statements)

References 38 publications

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“…In container terminals, the reshuffling or relocation of containers is allowed, although it is detrimental to ship-loading efficiency. Many studies have focused on minimizing the number of reshuffling operations in container terminals (Kim et al, 2000;Kim and Kim, 2002;Kang et al, 2006;Dekker et al, 2006;Borgman et al, 2010;Chen and Lu, 2012;Zeng et al, 2017;Zhou and Zhang, 2018). For example, Kim and Kim (2002) proposed a heuristic rule to minimize the number of relocations during the pickup operation of all containers in a yard bay.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimizing storage location assignment in an automotive Ro-Ro terminal

Chen

Jia

et al. 2021

Transportation Research Part B: Methodological

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Section: Literature Reviewmentioning

confidence: 99%

Optimizing storage location assignment in an automotive Ro-Ro terminal

Chen

Jia

et al. 2021

Transportation Research Part B: Methodological

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“…These pre-marshaling or reshuffling problems were therefore considered together with the YC scheduling problems (Galle et al 2018) or the YC dispatching problems (Jiang and Jin 2017), as the containers are relocated within the stacks of the storage blocks at the yard sides by the YCs. As well as the YCs, the container pick-up sequences directly affect the reshuffling operations (Zeng et al 2019)**. YT routing was less frequently studied in the integrated approaches (Chen et al 2013); only a single paper focused on it by integrating the QC and YC sequences.…”

Section: Integrated Operationsmentioning

confidence: 99%

“…Besides the previously described integrated ones, several studies handling two problems simultaneously have been proposed recently, by Azevedo et al (2018), Cao et al (2010a), Galle et al (2018), Homayouni and Tang (2013), Jiang and Jin (2017), Kaveshgar and Huynh (2015), Lu and Le (2014), Niu et al (2016), Tan and He (2016), Tan et al (2017b), Tang et al (2014), Wang et al (2018), Zeng et al (2019), Behjat and Nahavandi (2019), Hu et al (2019a), and Zhao et al (2019). All integrated studies reviewed in this section are presented in Table 6, and a classification is made according to the operational problems that are considered in the integration.…”

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

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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.

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“…Jaehn et al [35] considered the problem of scheduling two identical rail mounted gantry cranes working within a single block at a seaport for the minimization of dwell times of vessels at the berth. A method of simultaneously optimizing the pickup sequence and the container rehandling strategy was proposed to reduce the rehandling of inbound containers given partial truck arrival information by Zeng et al [36].…”

Section: Literature Reviewmentioning

confidence: 99%

Container Terminal Logistics Generalized Computing Architecture and Green Initiative Computational Pattern Performance Evaluation

Song

2019

Information

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Container terminals are the typical representatives of complex supply chain logistics hubs with multiple compound attributes and multiple coupling constraints, and their operations are provided with the strong characteristics of dynamicity, nonlinearity, coupling, and complexity (DNCC). From the perspective of computational logistics, we propose the container terminal logistics generalized computing architecture (CTL-GCA) by the migration, integration, and fusion of the abstract hierarchy, design philosophy, execution mechanism, and automatic principles of computer organization, computing architecture, and operating system. The CTL-GCA is supposed to provide the problem-oriented exploration and exploitation elementary frameworks for the abstraction, automation, and analysis of green production at container terminals. The CTL-GCA is intended to construct, evaluate, and improve the solution to planning, scheduling, and decision at container terminals, which all are nondeterministic polynomial hard problems. Subsequently, the logistics generalized computational pattern recognition and performance evaluation of a practical container terminal service case study is launched by the qualitative and quantitative approach from the sustainable perspective of green production. The case study demonstrates the application, utilization, exploitation, and exploration of CTL-GCA preliminarily, and finds the unsustainable patterns of production at the container terminal. From the above, we can draw the following conclusions. For one thing, the CTL-GCA makes a definition of the abstract and automatic running architecture of logistics generalized computation for container terminals (LGC-CT), which provides an original framework for the design and implementation of control and decision mechanism and algorithm. For another, the CTL-GCA can help us to investigate the roots of DNCC thoroughly, and then the CTL-GCA makes for conducting the efficient and sustainable running pattern recognition of LGC-CT. It is supposed to provide a favorable guidance and supplement to define, design, and implement the agile, efficient, sustainable, and robust task scheduling and resource allocation for container terminals by computational logistics whether in the strategy level or the tactical one.

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Integrated optimization of pickup sequence and container rehandling based on partial truck arrival information

Cited by 29 publications

References 38 publications

Optimizing storage location assignment in an automotive Ro-Ro terminal

Optimizing storage location assignment in an automotive Ro-Ro terminal

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

Container Terminal Logistics Generalized Computing Architecture and Green Initiative Computational Pattern Performance Evaluation

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