Modeling and Analysis of Ship Repairing Time

Dev, Arun Kr; Saha, Makaraksha

doi:10.5957/jspd.31.2.140016

Cited by 13 publications

(6 citation statements)

References 3 publications

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“…These works can be fine-tuned with a larger sample size. A multiple linear regression model may then be considered to develop a mathematical model (Dev & Saha 2015, 2016) that will be able to predict the expected hull coating repairing works concerning ships' age, deadweight, type, and other potential variables, if any.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Hull Coating Renewal in Ship Repairing

Dev

Saha²

2017

Journal of Ship Production and Design

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Hull coating (external blasting and painting) renewal (repair) is a part of routine ship maintenance. It is carried out only when the ship is in a dock (graving dock, floating dock, or slipway). For a regular maintenance schedule, the scope of hull coating repairing works dictates the duration of stay of a ship in the dock. It is very vital therefore to estimate the scope of work for hull coating before docking. As soon as the ship is docked, a joint hull inspection by representatives of the owner, drydock, and coatings supplier accurately determines the hull coatings scope of work. Most of the time, the inspection result does not match with the preplanned dock operation schedule. Hence, the overall dock operation schedule gets affected due to delay or early undocking of a ship. Hull coating repair and related information for 149 cargo ships were collected from a single shipyard. It was analyzed and presented in both tabular and graphical forms to show the relationship between the scope of work and the age, size, and type of ships. The physical size of a ship has a great influence on the hull blasting and painting repairing works irrespective of design parameters and types of the ship. Using ship dimensions, actual surface area, and other factors, a method of estimating the hull coating scope is proposed. In this article, the authors have made an attempt to identify the independent variables that influence the scope of work (dependent variable), and suggested the possible interrelationships between the dependent and independent variables, which appeared to be linear.

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Section: Discussionmentioning

confidence: 99%

Analysis of Hull Coating Renewal in Ship Repairing

Dev

Saha²

2017

Journal of Ship Production and Design

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“…In order to establish the relationship between modes and failure-free times (min), historical data are collected both for dependent (failure-free time) and independent variables (health conditions of the pump). Multiple linear regression analysis is adopted from [ 32 ] to identify the mathematical relationship between modes and failure-free times. A multiple linear regression analysis is performed for maintenance time estimation in [ 36 ].…”

Section: Failure-free Time Estimation Modelmentioning

confidence: 99%

“…Using the least squares method [ 32 , 33 , 37 ], the objective function is achieved:

under the constraints:

…”

Section: Failure-free Time Estimation Modelmentioning

confidence: 99%

“…The authors of article [ 32 ] focused on the subject of shortening the time of the ship’s stay in the ship repair yard. This stay should be minimized, and the authors used a multiple linear regression model in which the ship’s repair time was a function of the ship’s age, deadweight, and previous repairs to the paint coating of the hull, tanks, and structural steel.…”

Section: Introductionmentioning

confidence: 99%

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Condition-Based Failure-Free Time Estimation of a Pump

Ćwikła

Paprocka

2023

Sensors

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Reliable and continuous operation of the equipment is expected in the wastewater treatment plant, as any perturbations can lead to environmental pollution and the need to pay penalties. Optimization and minimization of operating costs of the pump station cannot, therefore, lead to a reduction in reliability but rather should be based on preventive works, the necessity of which should be foreseen. The purpose of this paper is to develop an accurate model to predict a pump’s mean time to failure, allowing for rational planning of maintenance. The pumps operate under the supervision of the automatic control system and SCADA, which is the source of historical data on pump operation parameters. This enables the research and development of various methods and algorithms for optimizing service activities. In this case, a multiple linear regression model is developed to describe the impact of historical data on pump operation for pump maintenance. In the literature, the least squares method is used to estimate unknown regression coefficients for this data. The original value of the paper is the application of the genetic algorithm to estimate coefficient values of the multiple linear regression model of failure-free time of the pump. Necessary analysis and simulations are performed on the data collected for submersible pumps in a sewage pumping station. As a result, an improvement in the adequacy of the presented model was identified.

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“…The cargo containment system of LNGCs is not used during operation due to exitance of LNG and its vapor in the containment system. A regular dry docking period is the best opportunity for maintenance of the LNG containment systems after inerting, warming up, and aerating of the containment system have been completed at a service shipyard [16,17]. LNGC dock specifications are documents that contain lists of severe and important ship maintenance tasks, including LNG containment maintenance orders during dry docking.…”

Section: Development Of Lngc Maintenance Topic Modelsmentioning

confidence: 99%

Preventive Maintenance Topic Models for LNG Containment Systems of LNG Marine Carriers Using Dock Specifications

Youn

Kim

2019

Applied Sciences

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The high demand for liquefied natural gas (LNG) requires more LNG carriers (LNGCs) to be in operation. During transportation, there is a high risk due to the required extremely low temperatures and the explosive nature of LNG cargo. Moreover, when there is a lack of experience in operating old LNGCs, there is a serious concern regarding operational accidents. A systematic maintenance strategy, especially for LNG cargo containment systems, is crucial for maintaining safe LNG transportation at sea. The purpose of this study is to develop preventive LNG cargo containment system maintenance models by using LNGC dock specifications from LNGCs of various ages. The dock specifications from a conventional LNGC repairing dock were analyzed using natural language processing techniques in order to develop preventive maintenance models of the LNG cargo containment system. From these results, and by considering the ship’s age, it was found that for young LNGCs, the priority for repair should focus on checking routine consumable spare parts by tank inspections, whereas for older LNGCs, the focus should be on tank condition maintenance rather than on other facilities. These results are expected to be useful in the development of a maintenance strategy of preventive LNG cargo containment systems in maritime LNG transportation.

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Modeling and Analysis of Ship Repairing Time

Cited by 13 publications

References 3 publications

Analysis of Hull Coating Renewal in Ship Repairing

Analysis of Hull Coating Renewal in Ship Repairing

Condition-Based Failure-Free Time Estimation of a Pump

Preventive Maintenance Topic Models for LNG Containment Systems of LNG Marine Carriers Using Dock Specifications

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