Knowledge Management Through Product Lifecycle
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9626-9_1
Reference22 articles.
1. Chandrasegaran, S. K., Ramani, K., Sriram, R. D., Horváth, I., Bernard, A., Harik, R. F., & Gao, W. (2013). The evolution, challenges, and future of knowledge representation in product design systems. Computer-Aided Design, 45(2), 204–228.
2. Peng, G., Wang, H., Zhang, H., Zhao, Y., & Johnson, A. L. (2017). A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model. Advanced Engineering Informatics, 33, 314–329.
3. Yue, W., Gui, W., Chen, X., Zeng, Z., & Xie, Y. (2019). A data and knowledge collaboration strategy for decision-making on the amount of aluminum fluoride addition based on augmented fuzzy cognitive maps. Engineering, 5(6), 1060–1076.
4. Wang, R., Nellippallil, A. B., Wang, G., Yan, Y., Allen, J. K., & Mistree, F. (2021). A process knowledge representation approach for decision support in design of complex engineered systems. Advanced Engineering Informatics, 48, 101257.
5. Wang, Y., Yu, S., & Xu, T. (2017). A user requirement driven framework for collaborative design knowledge management. Advanced Engineering Informatics, 33, 16–28.
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