빅데이터 분석을 이용한 해양 구조물 배관 자재의 소요량 예측
Estimation of Material Requirement of Piping Materials in an Offshore Structure using Big Data Analysis
1
조회
0
다운로드
3
인용
0
참고문헌
키워드
초록
In the shipyard, a lot of data is generated, stored, and managed during design, construction, and operation phases to build ships and offshore structures. However, it is difficult to handle such big data efficiently using existing data-handling technologies. As the big data technology is developed, the ship and offshore industries start to focus on the existing big data to find valuable information from it. In this paper, the material requirement estimation method of offshore structure piping materials using big data analysis is proposed. A big data platform for the data analysis in the shipyard is introduced and it is applied to the analysis of material requirement estimation to solve the problems in piping design by a designer. The regression model is developed from the big data of piping materials and verified using the existing data. This analysis can help a piping designer to estimate the exact amount of material requirement and schedule the purchase time.
Abstract
In the shipyard, a lot of data is generated, stored, and managed during design, construction, and operation phases to build ships and offshore structures. However, it is difficult to handle such big data efficiently using existing data-handling technologies. As the big data technology is developed, the ship and offshore industries start to focus on the existing big data to find valuable information from it. In this paper, the material requirement estimation method of offshore structure piping materials using big data analysis is proposed. A big data platform for the data analysis in the shipyard is introduced and it is applied to the analysis of material requirement estimation to solve the problems in piping design by a designer. The regression model is developed from the big data of piping materials and verified using the existing data. This analysis can help a piping designer to estimate the exact amount of material requirement and schedule the purchase time.
참고문헌 (15)
- Ando, H., "Big data in ship operation and its application - Case study for fuel saving in ship operation", Journal of the Marine Engineering Society in Japan, 49(5), pp.660~665 (2014)[DOI]
- Gandomi, A., "Beyond the hype: Big data concepts, methods and analytics", International Journal of Information Management, 35(2), pp.137~144 (2015)[DOI]
- Ham, D.K., "A study of method for machine learning application for using shipyard big data", Proceedings of the Society of CAD, 2016, ~
- Ham, D.K., "A big data-based simulation study for procurement management of shipyard equipment", Proceedings of Korean Society of Industrial Engineering (2016)
- 김광일, "해상교통 빅데이터에 의한 선박에 작용하는 외력영향 평가에 관한 연구", 한국지능시스템학회 논문지, 23(5), pp.379~384 (2013), 한국지능시스템학회
- Kim, Y.J., "A study on the bigdata technology and analysis technique for vessel design automation", Proceedings of Symposium of the Korean Institute of Communications and Information Sciences (2013)
- Kim, S.H., "Big data platform based on Hadoop and application to weight estimation of FPSO topside", Journal of Advanced Research in Ocean Engineering, 3(1), pp.32~40 (2017)
- Kim, U.K., "Ship operation big data as fusion model of shipbuilding industry and ICT", Journal of the Korean Society of Mechanical Engineers, 54(12), pp.49~52 (2014)
- Lee, Y., "A reference model for big data analysis in shipbuilding industry", Master's, pp.2017
- Lee, Y., "A Study on procurement lead time using big data analysis method and DES simulation for supply chain analysis of offshore piping", Proceedings of the Korean Society of Mechanical Engineers (2017)
- Li, J., "Big data in product lifecycle management", The International Journal of Advanced Manufacturing Technology, 81(1-4), pp.667~684 (2015)[DOI]
- Nedelcu, B., "About big data and its challenges and benefits in manufacturing", Database System Journal, 5(3), pp.10~19 (2013)
- Perera, L.P., "Handling big data in ship performance & navigation monitoring", Smart Ship Technology (2017)
- Wang, H., "Big data and industrial internet of things for the maritime industry in northwestern Norway", IEEE Region 10 Conference (2015)
- Zhang, Y., "A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products", Journal of Cleaner Production, 142(2), pp.626~641 (2017)[DOI]