Study on PLM and Big Data Collection for the Digital Transformation of the Shipbuilding Industry

Author:

Park Sangil,Huh Jun-HoORCID

Abstract

With the smartization and autonomous navigation of vessels through ICT (Information and Communications Technologies)—combining IoT, artificial intelligence (AI), and Big Data—changes in the shipbuilding industry will progress quickly; we must acquire superior technology and vessel quality to partake in the revamped shipbuilding industry. This paper aims to research the means of collecting and managing big data in shipbuilding to suit a variety of data types and communication methods in the shipbuilding industry, as well as ways of utilizing the aforementioned big data in order to respond to rapidly progressing changes in the industry. Additionally, the model proposed in this paper is research based on the Asian shipbuilding industry.

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Reference29 articles.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Shipbuilding 4.0: A Systematic Literature Review;Applied Sciences;2024-07-22

2. Information system for production process of a ferry ro-ro ship hull block;IOP Conference Series: Earth and Environmental Science;2024-06-01

3. PLM application status and future prospects in China;2023 International Conference on Intelligent Computing and Next Generation Networks(ICNGN);2023-11-17

4. Analysis of the Ripple Effect of Digital Transformation in the Shipbuilding & Offshore Plant Industry;Journal of Society of Korea Industrial and Systems Engineering;2023-10-30

5. Object Recognition Scheme for Digital Transformation in Marine Science and Engineering;Journal of Marine Science and Engineering;2023-10-03

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