Capacity Planning in Non-uniform Depth Anchorages

Malekipirbazari, Milad; Öz, Dindar; Aksakallı, Vural; Alkaya, Ali Fuat; Aydogdu, Volkan

doi:10.1007/978-3-319-19857-6_3

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…One other limitation is that we assume the anchorage area is of uniform-depth, which is also not very realistic. On the other hand, the methodology presented in Malekipirbazari et al (2015) for safe anchor circle calculations in non-uniform depth anchorages can be incorporated into our approach in a relatively straightforward manner.…”

Section: Discussionmentioning

confidence: 99%

“…A simulationbased approach was presented by Shyshou et al (2010) where, in the presence of weather and equipment-related constraints, the goal was to determine the optimal number of anchor handling tug vessels needed to relocate an oil rig. The problem of anchorage capacity planning in nonuniform depth anchorages was investigated by Malekipirbazari et al (2015) whereas the problem of network capacity estimation of vessel traffic for port planning was addressed by Olba et al (2017). safety and utilization considerations and achieved improvement in safety while maintaining similar utilization levels as competing methods.…”

Section: Problem Environment and Previous Workmentioning

confidence: 99%

“…It is assumed that (1) per regulations, vessel entry and exits occur through the entry side of the anchorage with the vessels following a straight path to their berth locations and, (2) the anchorage has uniform depth. The uniform depth assumption is not always realistic, yet relaxation of this assumption is relatively straightforward with the non-uniform depth corner point calculation algorithm discussed in Malekipirbazari et al (2015).…”

Section: Anchorage Areamentioning

confidence: 99%

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A stochastic approximation approach to spatio-temporal anchorage planning with multiple objectives

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2020

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Section: Discussionmentioning

confidence: 99%

Section: Problem Environment and Previous Workmentioning

confidence: 99%

Section: Anchorage Areamentioning

confidence: 99%

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A stochastic approximation approach to spatio-temporal anchorage planning with multiple objectives

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A micro-network within the port for vessel anchorage selection decision support

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et al. 2024

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Research on intelligent three-dimensional anchor position detection method for ships utilizing Traversal and Monte Carlo algorithms

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Cao,

Liu

et al. 2024

Front. Mar. Sci.

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As intelligent ship technology advances, the importance of intelligent anchor position detection, as one of the key technologies, can ensure the safe anchoring of ships and enhance the efficiency of port operation. At present, most of the anchor position selection and detection algorithms are mainly based on two-dimensional planes, and there is a lack of research on the intelligent detection of safe water depth for ship anchoring in three-dimensional space. It not only restricts the full utilization of anchorage resources but also affects the safety and environmental adaptability of anchoring operations. To address these issues, this study proposes a three-dimension anchor position detection method. Firstly, based on the establishment of a three-dimensional ocean model, the possible anchor positions selected by the ship are simulated using the Monte Carlo algorithm. Secondly, the simulated anchor positions are optimized using a Traversal algorithm to filter out the optimal anchoring position that meets the requirements, the safety distance between each point and the existing ship is calculated, and the anchor position is determined according to the corresponding required safety spacing. Finally, to verify the applicability and effectiveness of the method under different sea conditions and different ship types, this study conducts a series of simulation experiments with 5000 random samples. These experiments compare the demand of anchor position selection for anchoring ships with changing water depths in the case of empty and full load drafts, and visualize the impact of varying water depth parameters on the selection of anchor positions for anchoring ships in various ship types. The outcomes of the experiment indicate that the algorithm’s detection area encompasses the whole anchorage area, ensuring both the anchorage area’s usage rate and the accuracy of anchor position detection. This study demonstrates that the Traversal and Monte Carlo Algorithms effectively improve the accuracy of the selection of anchoring position of the ship, makes full use of the resources of anchorage, and further improves the safety and efficiency of the anchoring operation.

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Capacity Planning in Non-uniform Depth Anchorages

Cited by 4 publications

References 8 publications

A stochastic approximation approach to spatio-temporal anchorage planning with multiple objectives

A stochastic approximation approach to spatio-temporal anchorage planning with multiple objectives

A micro-network within the port for vessel anchorage selection decision support

Research on intelligent three-dimensional anchor position detection method for ships utilizing Traversal and Monte Carlo algorithms

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