Simulation-based planning system for shipbuilding

Lee, Yong Gil; Ju, SuHeon; Woo, Jong Hun

doi:10.1080/0951192x.2020.1775304

Cited by 18 publications

(8 citation statements)

References 19 publications

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“…In business, simulation ensures the manufacturing system. A productive manufacturing system is primarily driven by performance and high standards [29][30][31].…”

Section: Productivitymentioning

confidence: 99%

A Systematic Model to Improve Productivity in a Transformer Manufacturing Company: A Simulation Case Study

Jou,

Lin,

Silitonga

et al. 2024

Applied Sciences

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The global economy’s slow recovery has led to an increased need for transformers in organizations in recent years. An optimal strategy for production line optimization is to enhance the allocation of staff at each workstation and increase the amount of operational equipment. The focus of this study is the investigation of the transformer production line. This study carried out a comprehensive examination of manufacturing area one, manufacturing area two, and manufacturing area three, respectively. The findings revealed that the case factory requires enhancements in the allocation of its workers. The simulation approach allows for the implementation of multi-scenario evaluation and adjustment, ensuring optimal utilization of resources in the enhanced production line, hence enhancing production efficiency and total productivity. Implementing both rotational shifts and night shifts in manufacturing area one enhances the overall production efficiency of the manufacturing area. By redistributing the workforce in area two, it proved feasible to manage the production capacity of a manufacturing area and maintain the operation of the gas-phase drying furnace. With regard to the final aspect, it is imperative to enhance the processing time of preprocessing goods in order to guarantee a consistent supply of the appropriate quantity of products. This will effectively minimize production line delays and enhance overall production efficiency. These enhancement strategies aid the manufacturing company in optimizing resource allocation to enhance production efficiency and productivity.

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“…In business, simulation ensures the manufacturing system. A productive manufacturing system is primarily driven by performance and high standards [29][30][31].…”

Section: Productivitymentioning

confidence: 99%

A Systematic Model to Improve Productivity in a Transformer Manufacturing Company: A Simulation Case Study

Jou,

Lin,

Silitonga

et al. 2024

Applied Sciences

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“…Ship production planning is mostly performed in compliance with the principles of Product Work Breakdown Structures, abbreviated as PWBS. PWBS is primarily used for block assembly processes and spatial scheduling of hull construction blocks [10]. PWBS assumes hierarchical organization of shipbuilding activities based on hull construction blocks, which allows for overlapping of shipbuilding processes enabling efficiently planning and execution of shipbuilding processes and activities.…”

Section: Planning and Scheduling In Shipbuildingmentioning

confidence: 99%

A novel approach for planning of shipbuilding processes

Güngör¹,

Ünsan²,

Barlas³

2023

Brodogradnja

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Shipbuilding is acknowledged as an uncertain, complex, and unique industrial effort that yields massive products consisting of numerous parts and is vulnerable to unexpected events. The industry is also dominated by customer requirements through designs tailor-made for a specific ship. Planning in shipbuilding is therefore considered a formidable process. Consequently, many studies have been conducted to develop a planning framework for the industry to efficiently handle planning process. Yet none of these studies are deemed substantial enough to be regarded as holistic, straightforward, well-accepted, and compatible with the nature of shipbuilding. This study is therefore an important contribution by presenting a novel, hybrid, and integrated general-purpose planning framework applicable to all shipbuilding processes. The novel method exploits historical ship construction scheduling data, synthesizing hierarchical planning, dynamic scheduling, and discrete-event simulation, which is validated through an empirical study in this paper.

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“…Similar technology has been presented in [47], considering the possibility of measuring the schedule performance using the Internet of Things and marker-based image processing. Moreover, the importance of data-mining and analysis techniques to create effective cost and performance estimates is pointed out in [48], while a methodology to integrate discrete-event simulations into production planning is presented in [49]. Furthermore, the approximative, aggregation-based algorithm was employed in [50] in the case of the bottleneck identification and improvability analysis of the fabrication lines in a shipyard, while a digital twinning concept and its application in the case of naval ship repair management were considered in [51], emphasizing the importance of resource management, project priorities, performance, and productivity affected by possibly counterintuitive factors.…”

Section: Brief Literature Reviewmentioning

confidence: 99%

Towards Digital Twinning of Fabrication Lines in Shipyards

Hadžić

Ložar

Opetuk

et al. 2023

JMSE

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The digital twinning concept stands as a remarkable opportunity to integrate sophisticated mathematical models within the context of existing manufacturing systems. Such models may provide shipyard management with predictive analytics, improving the final results at the strategic, tactical, and operational levels. Therefore, the possibility of integrating the Markovian-framework-based finite-state method into the context of ship production is presented in this study, including its outline, digital thread, and factory-floor data reliance. First, the predictive analytics problem is addressed by the finite-state method in the case of the shipyard’s fabrication line, and the obtained results are validated afterward using a numerical model through discrete-event theory. The predictive analytics indicate an almost ideal balancing of the fabrication line, except for the buffers storing stiffeners before the coat-dying and marking operations. In addition, the improvability analysis of the shipyard’s fabrication lines extended the scope of the predictive analytics using bottleneck identification and affecting the key performance indicators through a digital thread, as well as by improved maintenance strategies.

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Simulation-based planning system for shipbuilding

Cited by 18 publications

References 19 publications

A Systematic Model to Improve Productivity in a Transformer Manufacturing Company: A Simulation Case Study

A Systematic Model to Improve Productivity in a Transformer Manufacturing Company: A Simulation Case Study

A novel approach for planning of shipbuilding processes

Towards Digital Twinning of Fabrication Lines in Shipyards

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