Multi-criteria Scantling Optimisation of Cruise Ships

Caprace, Jean‐David; Bair, Frédéric; Rigo, Philippe

doi:10.1179/str.2010.57.3.006

Cited by 8 publications

(3 citation statements)

References 8 publications

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“…The cost of vessel construction is also expected to change. Various methods have been proposed in the past to estimate the cost of building a conventional ship (Caprace, 2009). Based on these methods, MUNIN (2015) and Dantas et al (2023) have estimated costs.…”

Section: Vessel Transportation Expendituresmentioning

confidence: 99%

Simulation for Designing the Transition to Autonomous Shipping – Japanese Coastal Shipping

Iekata,

Maeda,

Nakashima

2024

IMDC

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In Japanese coastal shipping, there is a need to introduce automation technology to alleviate the shortage of seafarers, but its introduction has an indirect impact on coastal shipping due to the interaction between transportation demand and freight rates in a market with a variety of stakeholders. Therefore, it is difficult to make decisions about its introduction. This study uses a simulator that mimics the Japanese cargo market to evaluate the impact of the deployment. The results show that the introduction of autonomous vessels, even in the middle of development, may bring benefits, and that remote maneuvering technology with a crew on board may not produce positive impacts.

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Section: Vessel Transportation Expendituresmentioning

confidence: 99%

Simulation for Designing the Transition to Autonomous Shipping – Japanese Coastal Shipping

Iekata,

Maeda,

Nakashima

2024

IMDC

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“…Now, a vector F represents the total objective function. Due to K criteria conflicts, this problem has no single solution [24].…”

Section: Multi-objective Optimisationmentioning

confidence: 99%

A Two-Stage Optimisation of Ship Hull Structure Combining Fractional Factorial Design Technique and NSGA-II Algorithm

Abedin,

Franklin,

Mahmud

2024

JMSE

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The intricate nature of ships and floating structures presents a significant challenge for ship designers when determining suitable structural dimensions for maritime applications. This study addresses a critical research gap by focusing on a three-cargo hold model for a multipurpose cargo ship. The complex composition of these structures, including stiffening plates, deck plates, bottom plates, frames, and bulkheads, necessitates thorough structural analysis to facilitate effective and cost-efficient design evaluation. To address this challenge, the research utilises FEMAP-integrated NX NASTRAN software (2021.2) to assess hull girder stress. Furthermore, a novel approach is introduced, integrating the Design of Experiments (DOE) principles within Minitab 21.4.1 software to identify critical parameters affecting hull girder stress and production costs. This method determined the top five key parameters influencing hull girder stress: Hatch coaming plate, Hatch coaming top plate, Main deck plate, Shear strake plate, and Bottom plate, while also highlighting key parameters that impact production costs: the inner bottom plate, Inner side shell plate, Bottom plate, Web frame spacing, and Side shell plate. Ship design optimisation is then carried out by incorporating regression equations from Minitab software into the Non-dominated Sorting Genetic Algorithm II (NSGA-II), which is managed using Python software (PyCharm Community Editon 2020.3.1). This optimisation process yields a significant 10% reduction in both ship weight and production costs compared to the previous design, achieved through prudent adjustments in plate thickness, web frame positioning, and stiffener arrangement. The optimally designed midship section undergoes rigorous validation to ensure conformity with industry standards and classification society regulations. Necessary adjustments to inner bottom plates and double bottom side girders are made to meet these stringent requirements. This research offers a comprehensive framework for the structural optimisation of ship hulls, potentially enhancing safety, sustainability, and competitiveness within the maritime engineering industry.

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“…It is thus necessary to develop an appropriate approach, and collect the data required to use the approach. An advanced optimisation application in this field is the work of [24][25][26] for ship structures using the LBR5 system.…”

Section: Bottom-upmentioning

confidence: 99%

Towards a short time “feature-based costing” for ship design

Caprace

Rigo

2012

J Mar Sci Technol

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Cost is perhaps the most influential factor in the outcome of a product or service within many of today's industries. Cost assessment during the early stage of ship design is crucial. It influences the go, no-go decision concerning a new development. Cost assessment occurs at various stages of ship design development. Economic evaluation as early as possible, in the design phase, is therefore vital to find the best price-function compromise for the ship projects. The authors have developed a FeatureBased Costing (FBC) model for cost effectiveness measurements intended to be used by ship designers for the real time control of cost process. The outcome is that corrective actions can be taken by management in a rather short time to actually improve or overcome predicted unfavourable performance.

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Multi-criteria Scantling Optimisation of Cruise Ships

Cited by 8 publications

References 8 publications

Simulation for Designing the Transition to Autonomous Shipping – Japanese Coastal Shipping

Simulation for Designing the Transition to Autonomous Shipping – Japanese Coastal Shipping

A Two-Stage Optimisation of Ship Hull Structure Combining Fractional Factorial Design Technique and NSGA-II Algorithm

Towards a short time “feature-based costing” for ship design

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