A case based heuristic for container stacking in seaport terminals

Rekik, Ines; Elkosantini, Sabeur; Chabchoub, Habib

doi:10.1016/j.aei.2018.08.016

Cited by 13 publications

(3 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, considering the number of containers moves as a performance measure is the highest studied criteria, corresponding to 45 out of 117 yard side publications. The publications that discuss vehicle routing (Hu et al 2016) or storage space assignment problems (Rekik et al 2018) generally tried to minimize the travel distances of the internal trucks (IT) or the automated guided vehicles (AGV), which appear in 35 of the publications. The time-related metrics include the due dates of the containers, or the vehicles were commonly studied for dispatching or routing problems (Zaghdoud et al 2016) and discussed in 13 of the reviewed papers.…”

Section: Yard Operations: Yc Scheduling Transport Vehicle Dispatchinmentioning

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

Section: Yard Operations: Yc Scheduling Transport Vehicle Dispatchinmentioning

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

show abstract

“…This stage includes the Material Handling Equipment (MHE) selection and the storage yard layout design (Hu et al, 2014).The operational issue concerns the operations that take place in the yard after the design stage. It includes various problems as for example problems related to the storage space assignment to containers (Yan et al, 2011;Hu et al, 2014;Rekik et al, 2015;Hu et al, 2016;Luo & Mendes, 2016;Woo et al, 2016;Jiang & Jin, 2017;Tan et al, 2017;Galle et al, 2018;Rekik et al, 2018;Maretto, 2020) and the reshuffling of containers (Ku & Arthanari, 2016;Covic, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Weighted Goal Programming model for Storage Space Allocation problem in a container terminal

Dhahri

Mezghani

Rekik

2020

J. sustain. dev. transp. logist.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The study starts with mathematical (combinatorial) considerations, proceeds with some restrictions caused by physical and technological characteristics, and ends up with the simulation model, which adequacy is confirmed by practical results. The assessment of the operational areas needed under different cargo-handling systems and calculation of the relevant costs are relatively well studied, while the question of the selectivity remains vague [1,2,3]. This paper inputs some considerations to this domain.…”

Section: Introductionmentioning

confidence: 99%