Design knowledge modeling of complex products based on the Living systems theory

G. X. Wang, K. Luo, D. M. Pei, Y. Yan, S. H. Huang, X. W. Shang

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

For the features of complex product design knowledge, this study suggests a way of complex product design knowledge modeling based on Living systems theory. First, an in-depth analysis of the different levels defined in the LST and the functions of the twenty subsystems in the LST is performed. The structure and process parameters are also analyzed. This is done based on the common features of complex products and living systems. Then, a mapping model of the LST and complex products is created. This model is then used in the modeling of the design knowledge of complex products, including the various layers, functionalities, and structural and process parameters of the complex product in question. Finally, a case is studied to elaborate the implementation of the presented method and validate the effectiveness and practicability.

源语言英语
主期刊名2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
出版商IEEE Computer Society
1819-1825
页数7
ISBN(电子版)9781509036653
DOI
出版状态已出版 - 27 12月 2016
活动2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016 - Bali, 印度尼西亚
期限: 4 12月 20167 12月 2016

出版系列

姓名IEEE International Conference on Industrial Engineering and Engineering Management
2016-December
ISSN(印刷版)2157-3611
ISSN(电子版)2157-362X

会议

会议2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
国家/地区印度尼西亚
Bali
时期4/12/167/12/16

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引用此

Wang, G. X., Luo, K., Pei, D. M., Yan, Y., Huang, S. H., & Shang, X. W. (2016). Design knowledge modeling of complex products based on the Living systems theory. 在 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016 (页码 1819-1825). 文章 7798192 (IEEE International Conference on Industrial Engineering and Engineering Management; 卷 2016-December). IEEE Computer Society. https://doi.org/10.1109/IEEM.2016.7798192