A Dynamic and Discrete Berth Allocation Problem in Container Terminals Considering Tide Effects

Sheikholeslami, Abdolreza; Mardani, Mehdi; Ayazi, Ehsan; Arefkhani, Hesam

doi:10.1007/s40996-019-00239-1

Cited by 16 publications

(9 citation statements)

References 12 publications

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“…Yang and Jiang (2020) studied the scheduling problem between yard cranes and ground trolley. Considering the influence of tide on berth allocation of container terminals, Sheikholeslami et al (2019)established an integer linear programming model to study the berth allocation problem. The results showed that the model can shorten the vessels' departure delay time.…”

Section: Literature Reviewmentioning

confidence: 99%

RETRACTED ARTICLE: Research on service level analysis method of container terminal’s logistics system based on fractal self-similarity theory

et al. 2021

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Based on the fractal self-similarity theory, this paper puts forward the service level analysis method of container terminal's logistics system. Based on the detailed study of container terminal's logistics system, firstly, the self-similarity characteristics of container terminal' logistics system are extracted to verify the applicability of fractal theory to container terminal's logistics system. Secondly, the simulation analysis model is established, which measures the service level of container terminal's logistics system from nine indicators, such as annual throughput, average service time of the ships, average ship-time efficiency, average utilization rate of berths, average daily occupancy rate of container yard, etc. The simulation model is applied to a container terminal, and the results show that the model can not only evaluate the overall service level of the container terminal, but also analyze the influence of different storage time and ship inter-arrival time on the service level of the terminal, so as to provide the basis for the terminal operation decision. The constructed model is a useful tool for assessing the validity of ideas about the functional interrelationships between the dry port's primary parameters, as well as the system's long-term viability.

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Section: Literature Reviewmentioning

confidence: 99%

RETRACTED ARTICLE: Research on service level analysis method of container terminal’s logistics system based on fractal self-similarity theory

et al. 2021

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“…Sheikholeslami et al. in [67] investigate dynamic and discrete BAP, where the key objective is to mitigate the late departure of vessels. They utilized a real‐time dataset from the Port of Shahid Rajaee situated in Iran, where tide effects are also investigated during implementation.…”

Section: Current Literature On Stand‐alone Bapmentioning

confidence: 99%

A survey on computational intelligence approaches for intelligent marine terminal operations

Aslam,

Michaelides,

Herodotou

2024

IET Intelligent Trans Sys

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Marine container terminals (MCTs) play a crucial role in intelligent maritime transportation (IMT) systems. Since the number of containers handled by MCTs has been increasing over the years, there is a need for developing effective and efficient approaches to enhance the productivity of IMT systems. The berth allocation problem (BAP) and the quay crane allocation problem (QCAP) are two well‐known optimization problems in seaside operations of MCTs. The primary aim is to minimize the vessel service cost and maximize the performance of MCTs by optimally allocating berths and quay cranes to arriving vessels subject to practical constraints. This study presents an in‐depth review of computational intelligence (CI) approaches developed to enhance the performance of MCTs. First, an introduction to MCTs and their key operations is presented, primarily focusing on seaside operations. A detailed overview of recent CI methods and solutions developed for the BAP is presented, considering various berthing layouts. Subsequently, a review of solutions related to the QCAP is presented. The datasets used in the current literature are also discussed, enabling future researchers to identify appropriate datasets to use in their work. Eventually, a detailed discussion is presented to highlight key opportunities along with foreseeable future challenges in the area.

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“…Barbosa et al [23] considered the time window constraints in solving discrete berth allocation problem. Sheikholeslami [24] et al aimed to minimize the vessels' delay time of departure and proposed a model to realize the goal by considering tide effects in terminal with discrete berth.…”

Section: Literature Review and Related Workmentioning

confidence: 99%

“…e objective about total time consumption for liners consists of three subobjectives, which are the time of waiting time for berth, the berthing time at the terminal, and the handling time. e 20 6,7,9,10,11,12,13,15,17,21 VI 3,6,7,10,11,13,14,15,19,22,23,24,25,28,29,30,33,40,41,47,54,55,56,57,60 1,3,4,5,8,9,11,12,17,20,25,31,32,33,34,35,40,…”

Section: Multiobjective Solution Pareto Analysismentioning

confidence: 99%

Container Terminal Berth and Yard Collaborative Allocation for Import and Export Synchronous Operations by Computational Logistics

Jiang

Lei

2022

Discrete Dynamics in Nature and Society

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Container terminal operators have practical and clear requirements on improving operational efficiency and service level to address running challenges. The resource allocation and collaborative scheduling of quayside berth and storage yard are vital issues in the optimization of container terminal handling systems (CTHSs). The allocation of berth in quayside and blocks on storage yard directly affects the running efficiency of CTHS. Consequently, we focus on the berth and yard collaborative allocation for import and export synchronous operations (BYCA-IESOs) and propose the BYCA-IESO research model based on synchronous or asynchronous integrated scheduling strategy by computational logistics. The BYCA-IESO model is a mixed integer quadratic programming model to minimize multiple time consumption of calling liners and the total horizontal transferring distances of yard trailers at container terminals. Furthermore, we design other two allocation policies for comparison on the BYCA-IESO, which are both multistage scheduling strategy profiles. CPLEX 20.1.0 is applied to implement and solve the model and tactics of BYCA-IESO. Accordingly, the feasibility, validity, and relative merits of the models and strategies are obtained and verified by analyzing and comparing multiple numerical experimental results.

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A Dynamic and Discrete Berth Allocation Problem in Container Terminals Considering Tide Effects

Cited by 16 publications

References 12 publications

RETRACTED ARTICLE: Research on service level analysis method of container terminal’s logistics system based on fractal self-similarity theory

RETRACTED ARTICLE: Research on service level analysis method of container terminal’s logistics system based on fractal self-similarity theory

A survey on computational intelligence approaches for intelligent marine terminal operations

Container Terminal Berth and Yard Collaborative Allocation for Import and Export Synchronous Operations by Computational Logistics

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