A Multi-Case-Based Assembly Management Method for the Shipbuilding Industry

Iwańkowicz, Remigiusz

doi:10.2478/pomr-2021-0018

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…Sentiment analysis is done automatically to classify opinions with contained words. Classification Multiclass is a classification method that has more than two target classes (Iwańkowicz, 2021).…”

Section: Sentiment Analysis / Opinion Miningmentioning

confidence: 99%

Analyze Netizen Sentiment on the Shopee Application

Emilia Vernanda

2023

JISORA

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Internet users in Indonesia continue to grow yearly, with the number of users in 2020 reaching 160 million. Most people access social media, primarily buying and selling e-commerce platforms. Based on data from the Play Store in 2020, Shopee is ranked first as the most frequently used e-commerce application. Seeing this phenomenon, a goal was formed to examine the sentiment of netizens towards the Shopee application. Researchers chose qualitative methods with extensive data analysis assisted by NVIVO applications to achieve this goal. This study uses secondary data by looking at the research unit in the form of comments in the application comment column on Google Play by text mining. The results of this study are that 52.39% of Shopee users give negative comments, 41.26% positive comments, and 6.35% neutral comments, so it can be concluded that Shopee still has many shortcomings that must be corrected to provide the best service to the user community. Keyword: Netizen sentiment; big data; text mining

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Section: Sentiment Analysis / Opinion Miningmentioning

confidence: 99%

Analyze Netizen Sentiment on the Shopee Application

Emilia Vernanda

2023

JISORA

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“…All sectors of engineering are experiencing an intensive digitalisation process [1]; this applies to the marine [2], infrastructure, industrial, plant design, architecture engineering construction (AEC) and mechanical sectors [3]. The implementation of software solutions for design and engineering companies brings numerous benefits [4], and in most cases it leads to substantial efficiency improvements [5]; however, it generates a number of risks [6], especially when the organisation is not ready for implementation [7].…”

Section: Introductionmentioning

confidence: 99%

Human Resource Management Digitalisation in Multidisciplinary Ship Design Companies

Bilon,

Litwin

2023

Polish Maritime Research

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The digitalisation in the ship design sector is currently applied to the design process itself and is well defined, partially standardised and practically implemented by both independent design companies and the design departments of shipyards. The situation is similar in other sectors of engineering. However, the requirements for the digitalisation of other processes in design and engineering companies have not previously been studied, and the limited financial resources of ship design companies mean that there is a need for research on the digitalisation needs of multidisciplinary ship design companies. The implementation of building information modelling (BIM) solutions is costly for design companies and generates benefits mainly for shipyards and shipowners. The lack of benefits for design companies leads to the hesitation of managers whenever digitalisation is considered; the scope and scale of the digitalisation, as well as the selected software and BIM level, are defined by the shipyard requirements. The participation and support of management in the digitalisation process is one of the key success factors; the expected benefits caused by digitalisation for the organisation will increase the motivation of managers to invest limited resources in digitalisation. There are no data that indicate the processes with a high potential for digitalisation and the scale of expected improvements in ship design companies; therefore, research in this area was performed with a group of project managers from design and engineering companies. The research focused on collecting the opinions and experiences of the managers related to the manual management of resources and comparing the poll results with the conclusions from the enterprise resource planning (ERP) system data analyses. The paper analyses if the digital automation of the resource management process can lead to the substantial improvement of the operations of multi-project, multidisciplinary engineering ship design companies.

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Approximate Estimation of Man-Day in Ship Block Production: A Two-Stage Stochastic Program

Genç,

Kafali,

Çelebi

2024

Polish Maritime Research

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It is critical to estimate the workforce requirements for the production of blocks in shipbuilding. In this study, the number of workforce (man-day) required for the production of a passenger ship’s double bottom block was estimated. Initially, the production of the block was observed, and the average working performance of the mounting, welding, and grinding workers was recorded. Block drawings were examined and the work required was calculated. The amount of work increased, depending on any revisions required due to incorrect or incomplete designs. The average working performance of an employee is uncertain due to environmental factors, including the weather and working conditions, as well as health (both physical and mental). A two-stage stochastic programming model with recourse was established to estimate man-day required and a Sample Average Approximation (SAA) technique was used to obtain a near-optimum solution. The results of the study were compared with shipyard records and an agreement of approximately 90% was achieved.

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A Multi-Case-Based Assembly Management Method for the Shipbuilding Industry

Cited by 5 publications

References 18 publications

Analyze Netizen Sentiment on the Shopee Application

Analyze Netizen Sentiment on the Shopee Application

Human Resource Management Digitalisation in Multidisciplinary Ship Design Companies

Approximate Estimation of Man-Day in Ship Block Production: A Two-Stage Stochastic Program

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