Implementation of knowledge management to support design tasks of large-scale complex system
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A large-scale complex system (LSCS) is an engineering product comprising of numerous components and interconnected subsystems. The LSCS is required to change its design or develop new systems to introduce new technologies. Additionally, the LSCS must be developed to reflect changes in regulations and external environmental factors. In this study, a knowledge management system was suggested to technically support design tasks. The proposed system provides functions to search for informally created tacit knowledge during the LSCS design stage and to connect the relationship between tacit knowledge and design results. The proposed system is expected to improve accessibility to tacit knowledge and promote the understanding of design results generated across various engineering fields, thereby facilitating prompt and accurate progress in design work. When designing a new LSCS system, trial and error in design can be reduced, and expeditious technical training for new design personnel can be supported by securing tacit knowledge derived from the previous system development process. The proposed system is expected significantly help secure, maintain, and manage organization's technical capabilities.
Abstract
A large-scale complex system (LSCS) is an engineering product comprising of numerous components and interconnected subsystems. The LSCS is required to change its design or develop new systems to introduce new technologies. Additionally, the LSCS must be developed to reflect changes in regulations and external environmental factors. In this study, a knowledge management system was suggested to technically support design tasks. The proposed system provides functions to search for informally created tacit knowledge during the LSCS design stage and to connect the relationship between tacit knowledge and design results. The proposed system is expected to improve accessibility to tacit knowledge and promote the understanding of design results generated across various engineering fields, thereby facilitating prompt and accurate progress in design work. When designing a new LSCS system, trial and error in design can be reduced, and expeditious technical training for new design personnel can be supported by securing tacit knowledge derived from the previous system development process. The proposed system is expected significantly help secure, maintain, and manage organization's technical capabilities.
참고문헌 (9)
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