An integrated model for vessel traffic and deballasting scheduling in coal export terminals

Guo, Zhiling; Cao, Zhen; Wang, Wenyuan; Jiang, Ying; Xu, Xinglu; Peng, Feng

doi:10.1016/j.tre.2021.102409

Cited by 16 publications

(4 citation statements)

References 45 publications

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“…Low et al [8] put forward a modular design-optimization method for the ballast water-allocation process of large container ships, and actual tests demonstrated that the established method can achieve stable ballast water allocation, reduce ballast water-allocation volume, and lower shipping costs. Guo et al [9] built an integrated scheduling model (ISM) to optimize the ballast operations of RFC. Experiments showed that the established ISM is of great help to improve the offshore lifting efficiency.…”

Section: Crane Ballast Systemmentioning

confidence: 99%

Point-to-Point-Based Optimization Method of Ballast Water Allocation for Revolving Floating Cranes with Experimental Verification

Wang,

Yu,

et al. 2024

JMSE

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The Revolving Floating Crane (RFC) is a specialized engineering vessel crucial for offshore lifting operations, such as offshore platform construction and deep-water salvaging. It boasts impressive lifting capacity, good adaptability to various environmental conditions, and high operational efficiency. Conventionally, the safety and stability of RFC operations heavily depend on manual ballast water allocation, which is directly influenced by factors such as personnel status and sea conditions. These manual operations often result in reduced lifting efficiency, higher energy consumption, and compromised operational safety. In response, this paper introduces a ballast water-allocation approach based on the Point-to-Point (PTP) theory for the intelligent operation process of the RFC. The fundamental principles of the PTP theory are analyzed, and a method tailored to optimize ballast water allocation for RFC is proposed. Considering the unique characteristics of the ballast system and the specific requirements of lifting operations, an optimization model for PTP-based ballast water allocation is established. Numerical experiments are conducted to verify the efficacy and reliability of the proposed method. Comparing it to the conventional approaches, the results demonstrate a notable 17.75% reduction in energy consumption and an impressive 73.49% decrease in decision-making time, showcasing the superiority of the proposed approach. Finally, the engineering feasibility of the PTP-based optimization method for ballast water allocation is validated through actual lifting experiments, underscoring its potential to enhance RFC operations.

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Section: Crane Ballast Systemmentioning

confidence: 99%

Point-to-Point-Based Optimization Method of Ballast Water Allocation for Revolving Floating Cranes with Experimental Verification

Wang,

Yu,

et al. 2024

JMSE

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“…A mixed-integer programming model for berth allocation and shiploader scheduling problem in Huanghua Port was established by Cao et al [14], and the exact solution is obtained by using the logical Benders decomposition. Similarly, Guo et al [30] established an integrated scheduling model that manages the scheduling process of vessel traffic and deballasting operations, and used a rule-based scheduling method to solve the multi-objective model.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The ASALS algorithm proposed in this paper encompasses five key parameters: the maximum number of iterations MaxIter, the iteration optimization time for operators τ, the reaction factor α, the cooling rate µ, and the minimum selection probability p min . Each parameter consists of five different levels, such as MaxIter = [10, 30,50,70,90], τ = [0.1, 0.2, .0.3, 0.4, 0.5], α = [0.1, 0.2, 0.3, 0.4, 0.5], µ = [0.90, 0.92, 0.94, 0.96, 0.98], p min = [0.01, 0.02, 0.03, 0.04, 0.05]. For the sake of ensuring robustness and stability, all parameter combinations are independently executed 10 times under a predefined termination condition (i.e., 600 s), and the average objective function value is used as the metric.…”

Section: Algorithm Parameter Settingsmentioning

confidence: 99%

Integrated Inbound and Outbound Scheduling for Coal Port: Constraint Programming and Adaptive Local Search

Lu,

Zhang,

Zheng

et al. 2024

JMSE

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The effective production scheduling of dry bulk ports is a challenging task that demands meticulous planning, task allocation based on customer requirements, as well as strategic route and timing scheduling. Dry bulk ports dedicated to handling commodities like coal and iron ore frequently engage in blending operations as a strategic imperative to gain market competitiveness. The process of blending coal and ore entails the timely arrival of the requisite raw materials at predetermined locations. Simultaneously, it necessitates the coordination of the sequencing of goods entering and departing the port to align with the operational demands associated with material stockpiles. This paper describes and analyzes an operational scheduling problem encountered by one of the largest coal blending sea ports in China. Specifically, a rich constraint programming model is presented to define operation sequences integrating daily inbound and outbound services provided by the port, minimizing the overall operation time. In order to enhance the practicality of the method, a CP-based adaptive simulated annealing local search algorithm has been designed and developed for the optimization problem. The empirical validation of the proposed method is conducted using both real production data and generated experimental data adhering to specific rules. The results conclusively demonstrate the efficacy and feasibility of the proposed method. This also substantiates its practicality and effectiveness in real-world applications, facilitating efficient production and energy-saving operations for the coal port.

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“…Here, researchers show a problem of pressure drop in the ballast pump during sea practice (prala). Therefore, this situation will cause an imbalance and smooth performance of the ship, which will hinder the ship's departure (delay time) and the loading and unloading process (Guo et al ., 2021). The aim of this research is: a) to find out how to maintain ballast pumps in ship operations, b) to find out what the impacts of ballast pumps that are not optimal are.…”

Section: Introductionmentioning

confidence: 99%

Ballast Pump Performance Optimization Strategy for Smooth Ship Operations in MV. DK 03

Tjahjono

2023

cset

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Suppose the operation of the ballast pump is not optimal. In that case, it will disrupt the ship's stability and be very detrimental to many parties, such as endangering the ship and crew, resulting in fatal losses, namely the ship's sinking. The research method used is qualitative to analyze strategies for optimizing ballast pump performance for smooth ship operations on MV.DK 03. Researchers used the SWOT method. Research objectives: a) to analyze ballast pump maintenance in ship operations, b) to analyze the impact of non-optimal ballast pumps. The results of the research concluded that the factors causing the non-optimal performance of the ballast pump were problems with damaged seals, lack of experience, and crew understanding of correct operating procedures. Disturbances in ship stability can result in unstable ships and delayed loading and unloading.

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An integrated model for vessel traffic and deballasting scheduling in coal export terminals

Cited by 16 publications

References 45 publications

Point-to-Point-Based Optimization Method of Ballast Water Allocation for Revolving Floating Cranes with Experimental Verification

Point-to-Point-Based Optimization Method of Ballast Water Allocation for Revolving Floating Cranes with Experimental Verification

Integrated Inbound and Outbound Scheduling for Coal Port: Constraint Programming and Adaptive Local Search

Ballast Pump Performance Optimization Strategy for Smooth Ship Operations in MV. DK 03

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