Research on Knowledge Management of Aviation Manufacturing Industry Based on Association Rules
- DOI
- 10.2991/pntim-19.2019.18How to use a DOI?
- Keywords
- Association Rule; Aviation Technical Standard; Aviation Manufacturing; Knowledge Management
- Abstract
[Purpose/Meaning] Aim at the two Safeguard measures to strengthen the China's industrial infrastructure capabilities proposed by "Made in China 2025" plan and the real Product development requirements of China's aviation industry, the method to provide high quality and efficient knowledge management and information service for the China's aviation manufacturing industry are researched in this paper[Method/Process]. The knowledge elements contained in the Aviation manufacturing industry standard literature and the explicit or the implicit relation rules among them are firstly analyzed based on the current national and industrial standards of aviation manufacturing field, then the knowledge association network model of aviation technology standard is established according to the provided knowledge elements and their relationships[Results/Conclusions], the research can not only provide good technical support for information service of aviation manufacturing industry, but also to further promote the Intellectualization Process in the Design and manufacturing field of the aviation manufacturing industry.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ai Xin AU - Du Jiang AU - Bai Yu AU - Liu Hang PY - 2019/11 DA - 2019/11 TI - Research on Knowledge Management of Aviation Manufacturing Industry Based on Association Rules BT - Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019) PB - Atlantis Press SP - 86 EP - 90 SN - 2589-4943 UR - https://doi.org/10.2991/pntim-19.2019.18 DO - 10.2991/pntim-19.2019.18 ID - Xin2019/11 ER -