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http://dx.doi.org/10.3744/SNAK.2018.55.2.124

A Study on Process Management Method of Offshore Plant Piping Material  

Park, JungGoo (Central Research Institute, Samsung Heavy Industries)
Woo, JongHun (Department of Naval Architecture, Ocean & Architectural Engineering, Korea Maritime and Ocean University)
Publication Information
Journal of the Society of Naval Architects of Korea / v.55, no.2, 2018 , pp. 124-135 More about this Journal
Abstract
In order to secure manufacturing competitiveness of offshore plants, piping process is one of the most important processes. This study is about the design of management system for piping materials manufacturing of the offshore plant. As a result of the study, we analyzed the system and algorithms needed for the processing of piping material products and designed the structure of the entire management system. We conducted a process analysis of the design, manufacturing and installation processes. And also we proposed a system structure to improve the various problems that have come out. We also proposed an algorithm to determine the delivery order of the pipe spools, and proposed a raw material management system for the manufacturing of the pipe spools. And we designed a manufacturing process management system to manage the risk of pipe materials delivery. And finally we proposed a data structure for the installation process management system. The data structures and algorithms were actually implemented, and applied the actual process data to verify the effect of the system.
Keywords
Pipe material; Procurement; Installation; Management;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Back, M.G., Woo, J.H., Lee, P. & Shin, J.G., 2017. Productivity improvement strategies using simulation in offshore plant construction. Journal of Ship Production and Design, 32(3), pp.144-155.
2 Choi, K.S., 2010. Instruction to offshore plant. Munundang: Seoul.
3 Ham, D.K., Back, M.G., Park, J.G. & Woo, J.H., 2016. A Study of piping leadtime forecast in offshore plant's outfittings procurement management. Journal of the Society of Naval Architects of Korea, 53(1), pp.29-36.   DOI
4 Hur, M., Lee, S., Kim, B., Cho, S., Lee, D., Lee, D., 2015. A study on the man-hour prediction system for shipbuilding. Journal of Intelligent Manufacturing, 26(6), pp.1267-1279.   DOI
5 Lee, D.H., Park, J.H., Bae, H.R., 2013. Comparison between planned and actual data of block assembly process using process mining in shipyard. Journal of Society for e-Business Studies, 18(4) pp.145-167.   DOI
6 Lee, H.S., 2013. A case study on improvement of pipe outfitting production process using TOC. Master's Thesis. University of Ulsan.
7 Yan, W., 2012. Automatic generation of assembly sequence for the planning of outfitting processes in shipbuilding. Journal of Ship Production and Design, 28(2), pp.49-59.