A robust multiobjective model for the integrated berth and quay crane scheduling problem at seaside container terminals

Nourmohammadzadeh, Abtin; Voß, Stefan

doi:10.1007/s10472-021-09743-5

Cited by 21 publications

(7 citation statements)

References 53 publications

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“…Even if the vessels can send the updated arrival time to the terminal after entering the VHF radio range, which is only about two hours in advance to the vessels' arrivals, it is quite difficult to remake the plan of the BACAP within such a short time. Consequently, on one hand, the plan of the BACAP that has been based on the ETAs is disturbed, extending the turnaround time of vessels at the terminal (Nourmohammadzadeh and Voß, 2022). On the other hand, the vessels are informed by a less than optimal berthing start time.…”

Section: Figure 2 Bacap-vso Cooperation Modementioning

confidence: 99%

A Push for Obscurity: The Role of Social Influence on Mobile Location Data Disclosure

Shore,

Cummings

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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Within the context of green shipping, the concept of Just-In-Time (JIT) arrival has attracted much attention. Research achieves the JIT arrival for container ships by combining the berth allocation and quay crane assignment problem (BACAP) and the vessel speed optimization (VSO), both subject to the data exchange. Many prediction models of the research to date generally aim to reduce the uncertainty of the communicated estimated time of arrivals. There is a lack of research that simultaneously assesses the application effect of prediction models on both plans of the BACAP and the VSO. Therefore, this paper proposes a twostage model that integrates the prediction of the vessel arrival time with the optimization of the BACAP-VSO.The application in our specific case study shows that the random forest performs best in the first stage. The results are forwarded to the second stage and lead to a reduction of the service delay, fuel consumption cost, and vessel emissions.

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Section: Figure 2 Bacap-vso Cooperation Modementioning

confidence: 99%

A Push for Obscurity: The Role of Social Influence on Mobile Location Data Disclosure

Shore,

Cummings

2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…They then constructed a rescheduling model based on a response strategy, solving it with the C&CG algorithm to obtain precise solutions. Nourmohammadzadeh et al [18] developed a multiobjective robust model for BQCASP considering QC breakdown. They applied multiobjective simulated annealing (MOSA) and Pareto simulated annealing (PSA) algorithms based on a new two-layer coding scheme with berth information to comprehensively optimize three objectives, including ship delay time.…”

Section: Integrated Scheduling In Container Terminalmentioning

confidence: 99%

Energy-Aware Integrated Scheduling for Quay Crane and IGV in Automated Container Terminal

Luo,

Liang,

Zhang

et al. 2024

JMSE

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In this study, we address the integrated scheduling problem involving quay cranes and IGVs in automated terminals. We construct a mixed-integer planning model with the aim of minimizing the total energy consumption during quay crane and IGV operations, focusing on the loading-operation mode. The model considers the impact of the actual stowage of container ships on the loading order. We propose a dimension-by-dimension mutation sparrow search algorithm to optimize the model’s solution quality. Building upon the standard sparrow search algorithm, we incorporate cat mapping to enhance the diversity of the initial sparrow population. To improve global search in the early stage and local search in the later stage of the algorithm, we introduce an adaptive t-distribution mutation strategy. Finally, a total of 12 instances with container counts containing 30, 100, and 250 were designed for experiments to validate the effectiveness of the model and algorithm. The experiments demonstrate that, by appropriately increasing the number of quay cranes, configuring more than two or three IGVs can achieve optimal energy consumption for overall operations.

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“…Uncertainty has also been considered in several integrated problems, namely problems integrating QC scheduling and berth allocation. (See, for instance, Expósito‐Izquiero et al., 2016; Liu et al., 2016; Nourmohammadzadeh and Voß, 2022; Rodrigues and Agra, 2021 Tasoglu and Yildiz, 2019. )…”

Section: Literature Reviewmentioning

confidence: 99%

Handling uncertainty in the quay crane scheduling problem: a unified distributionally robust decision model

Rodrigues

Agra

2023

Int Trans Operational Res

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Quay cranes are among the most important resources in port terminals, and their efficient use is crucial for port terminals to remain competitive in the market. The problem of determining the sequence of tasks performed by the quay cranes that minimizes the turnaround time of a vessel is an NP‐hard problem known as the quay crane scheduling problem (QCSP).In this paper, we consider the unidirectional QCSP under uncertain processing times, where the cranes are only allowed to move in a specific direction. We start by presenting the first distributionally robust optimization (DRO) model for this problem and an exact decomposition algorithm to solve it. The proposed DRO model makes it possible to derive a stochastic programming model and a robust optimization model for the unidirectional QCSP by an appropriate choice of the risk‐averse parameter of the model. Through extensive numerical results, we compare these three approaches—stochastic programming, robust optimization, and DRO—to investigate whether significant differences among the solutions obtained exist. Finally, we propose a new method for helping practitioners to determine a representative set of different DRO solutions.

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A robust multiobjective model for the integrated berth and quay crane scheduling problem at seaside container terminals

Cited by 21 publications

References 53 publications

A Push for Obscurity: The Role of Social Influence on Mobile Location Data Disclosure

A Push for Obscurity: The Role of Social Influence on Mobile Location Data Disclosure

Energy-Aware Integrated Scheduling for Quay Crane and IGV in Automated Container Terminal

Handling uncertainty in the quay crane scheduling problem: a unified distributionally robust decision model

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