Research on the quality control strategy of marine engineering based on big data technology-Reference-Cited by-同舟云学术

Research on the quality control strategy of marine engineering based on big data technology

Published:2023-09-30 Issue:1 Volume:9 Page:
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Yuan Jianping¹²,Yu Huafeng¹²,Sun Zhenzhou¹²,Li Yan³

Affiliation:

1. 1 Key Laboratory of Far-shore Wind Power Technology of Zhejiang Province , Hangzhou , Zhejiang , , China .

2. 2 Power China Huadong Engineering Corporation Limited , Hangzhou , Zhejiang , , China .

3. 3 School of Marine Engineering , Jimei University , Xiamen , Fujian , , China .

Abstract

Abstract The research of quality control strategy of marine engineering using big data technology is to better promote the enterprise to reduce cost and increase efficiency. In this paper, starting from the project quality control system, a quality control risk evaluation model is constructed based on hierarchical analysis and fuzzy comprehensive evaluation by means of the fuzzy comprehensive evaluation of affiliation degree. For the model constructed based on AHP-FCR in this paper, experimental analysis of quality control influencing factors and fuzzy comprehensive evaluation examples were conducted by establishing indicators. From the influence factors, the severity of engineering personnel risk and engineering machine risk are 19.289 and 20.216, respectively, both of which are significant levels of influence. From the fuzzy comprehensive evaluation, 49.09% of the experts voted that the level of quality control risk of S Company’s offshore engineering module oilfield construction project is now low and in an acceptable state. It can be concluded that the AHP-FCR model with big data technology can realize the quality control risk assessment of offshore engineering and also provides theoretical support for companies to solve the risk.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2023.2.00415

Reference18 articles.

1. Xu, X., Cui, Y., Jiang, Y. (2020). Development of Marine Engineering Equipment Manufacturing Industry: A Forecasting Study through Online Data. Journal of Coastal Research, 106(sp1), 677.

2. Wu, X., Li, Y., Cai, W., et al. (2022), Dynamic responses and energy absorption of sandwich panel with aluminium honeycomb core under ice wedge impact. International Journal of Impact Engineering, 162, 104137-.

3. Sun, S. (2019), Financial Risk Assessment of Listed Enterprises in Marine Engineering Equipment Manufacturing Industry. Journal of Coastal Research, 94(sp1), 788.

4. Huang, C., Zheng, W. (2020). Development of Offshore Engineering Equipment and High-end Shipbuilding Industry: A Case Study of Dinghai District, Zhoushan, Ningbo. Journal of Coastal Research, 104(sp1).

5. Dong, S., Sun, Y. (2020). Upgrading Path and Value Chain Upgrading Strategy of China’s Marine Equipment Manufacturing Industry. Journal of Coastal Research, 107(sp1), 157.