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Developing conceptual smart training system for advanced plant design and FEED engineers based on a tailored systems engineering process
Author(s) -
DaeGeun Hong,
SukHwan Suh,
ChangWoo Park,
HwalWon Sur,
SoYeon Kang
Publication year - 2018
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2018.00486.x
Subject(s) - engineering design process , engineering , economic shortage , process (computing) , engineering management , manufacturing engineering , systems engineering , computer science , mechanical engineering , government (linguistics) , linguistics , philosophy , operating system
Global engineering market has been growing by an average of 6% per year, and is expected to reach $1.7 trillion by 2020. With drastic expansion of the engineering market, competition between companies to win engineering contracts is becoming increasingly fierce. However, Front End Engineering Design (FEED), currently dominated by a few advanced countries, creates the highest added‐value in the in plant construction industry. In the domestic plant engineering industry, it is difficult to acquire its own technology capability and experience due to lack of experience and shortage of experts in advanced design fields such as basic design and FEED. To achieve competitiveness with the advanced countries, it is necessary to establish smart training system for advanced plant design and FEED engineers. So, this study aims to propose the tailored systems engineering approach for developing a plant design education system for plant designers and FEED engineers, and to apply the proposed approach to a Korean case study, Smart‐PETS that learns design knowledge based on educational content and experience based on design stage for chemical plant.