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http://dx.doi.org/10.21289/KSIC.2019.22.6.785

A Study on the Estimation Process of Material handling Equipment for Offshore Plant Using System Engineering Approach  

Han, Seong-Jong (Offshore Industries R&BD Center of Korea Research Institute of Ship & Ocean Engineering)
Seo, Young-Kyun (Offshore Industries R&BD Center of Korea Research Institute of Ship & Ocean Engineering)
Cho, Mang-Ik (Offshore Industries R&BD Center of Korea Research Institute of Ship & Ocean Engineering)
Kim, Hyung-Woo (Offshore Industries R&BD Center of Korea Research Institute of Ship & Ocean Engineering)
Park, Chang-soo (Offshore Industries R&BD Center of Korea Research Institute of Ship & Ocean Engineering)
Publication Information
Journal of the Korean Society of Industry Convergence / v.22, no.6, 2019 , pp. 785-795 More about this Journal
Abstract
This paper is a study on the modeling of the quantity estimation model for offshore plant Material handling equipment in FEED(Front End Engineering Design) verification stage using system engineering approach which is an engineering design methods. The relevant engineering execution procedure is not systemized although the operation method and Material handling equipment selection with weight and space constraints is a key part of the FEED. Using the system engineering process, the stakeholder requirements analysis process, the system requirements analysis, and the final system architecture design were sequentially performed, and the process developed through the functional development diagram and Requirement traceability matrix (RTM) was verified. In addition, based on the established process, we propose a Material handling quantity estimation model and Quantity calculation verification Table that can be applied at the FEED verification stage and we verify the applicability through case studies.
Keywords
Systems Engineering; Material handling; Quantity estimation process; EFFBD (Enhanced Functional Flow Block Diagram); Quantity estimation verification Table;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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