Shipyard production cost structure optimisation model related to product type

Fafandjel, Nikša; Zamarin, Albert; Hadjina, Marko

doi:10.1080/00207540802609665

Cited by 9 publications

(3 citation statements)

References 17 publications

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“…They all tried to improve the shipbuilding efficiency by enhancing the ability of resources. The cost (man hour) control models developed by Niksa Fafandjel et al (2010) and Emblemsvag (2014) etc. created studies that contributed to the work of Hassan & Kajiwara (2013); and studies on the running distance optimization of the crane were done by Roh & Lee (2010) etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Two-Stage Efficiency Structure Analysis Model of Shipbuilding Based on Driving Factors: The Case of Chinese Shipyard

Xue¹,

Shi²,

Dashuang³

et al. 2020

JSS

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The purpose of this paper is to build an efficiency evaluation model based on efficiency drivers. Building technique, resource ability and management level are the three main driving factors in production efficiency of shipbuilding. Two-stage internal production efficiency structure analysis model (ESAM) firstly decomposes the shipbuilding system efficiency into three dimensions of subsystem efficiency structures to express the driving effect of the three driving factors of technique, operation and management. Secondly, ESAM uses system efficiency function and dimension structure efficiency function to express the relationships between the efficiency of each level and its subordinate efficiency. The contribution of subsystems to system efficiency is represented by the regression coefficient while the driving relationship between the efficiency of the subsystems and the efficiency of the system is expressed by the moving average trend curves of the system efficiency and the structural efficiency of each dimension. The empirical analysis shows that the case shipyard inner production is inefficient, which implies that most Chinese shipyards may be in the same condition, or even worse. It also shows that operation efficiency has the greatest driving effect on shipbuilding system efficiency while the driving effect of technique efficiency is not obvious, which means that improving management efficiency and technique efficiency should be the main direction taken to improve Chinese shipbuilding efficiency.

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Section: Literature Reviewmentioning

confidence: 99%

Two-Stage Efficiency Structure Analysis Model of Shipbuilding Based on Driving Factors: The Case of Chinese Shipyard

Xue¹,

Shi²,

Dashuang³

et al. 2020

JSS

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show abstract

“…In today's highly competitive shipbuilding industry, gaining a competitive advantage over shipyards is important. A competitive and sustainable shipyard demands that management continuously monitor and improve productivity, efficiency and quality while decreasing the overall costs of the production process [1]. Typically, the competitiveness analysis of a shipyard measures productivity based on parameters such as tonnes produced or compensated gross tonnes (CGT) produced per consumed working hours [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

The shipyard technological level evaluation methodology

et al. 2023

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A competitive advantage over other shipyards is extremely important in the high-stake shipbuilding industry. Typically, a competitiveness analysis of a shipyard measures productivity based on specific parameters, such as tonnes or compensated gross tons produced per consumed working hour. The authors of this paper consider identifying the technological level required to achieve this productivity as essential, including other information relevant for the shipbuilding process. Therefore, a methodology for determining the technological level of shipyards is proposed based on defined criteria and a structured evaluation. The criteria were devised and structured hierarchically. The methodology also offers company management a solution for continuous monitoring for improving shipyard design and production processes.

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“…In this paper, the market analysis was focused on different sailing boat ballast keel configurations. In order for a successful market analysis to be obtained, the equipment design parameters should be reviewed, [6].…”

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confidence: 99%

Boat Equipment Design Methodology Based on QFD and FEA

Matulja

Zamarin

Matulja³

2015

Journal of Maritime & Transportation Science

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Defining the potential buyers' needs and requirements should precede any concept design. Most usually, such needs and requirements are defined through statistical analyses. Due to various buyer profiles, there are also as many various market niches laying down the relevant equipment features. In this accordance, market analysis for sailing boats has been suggested with the objective of determining differently featured boat equipments. To that purpose, the Quality function deployment technique (QFD) is suggested as the first phase of the methodology. In that way, systematic identification and validation of potential buyers' needs and requirements were enabled, leading through a precisely determined procedure to the basic parameters for defining the targeted equipment configuration. In the second phase, the Finite element analysis (FEA) is suggested for the global strength analysis and optimization of the previously selected equipment configuration. In the paper, the suggested methodology was used in the case study dealing with the racing sail boat keel selection and design. Furthermore, the design approach was presented on the selection of the keel body and bulb parameters and on calculations such as the geometry, mass and centre of gravity.

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Shipyard production cost structure optimisation model related to product type

Cited by 9 publications

References 17 publications

Two-Stage Efficiency Structure Analysis Model of Shipbuilding Based on Driving Factors: The Case of Chinese Shipyard

Two-Stage Efficiency Structure Analysis Model of Shipbuilding Based on Driving Factors: The Case of Chinese Shipyard

The shipyard technological level evaluation methodology

Boat Equipment Design Methodology Based on QFD and FEA

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