Evaluation approach for change propagation based on product feature network

被引:0
|
作者
Chen L. [1 ]
Zheng Y. [1 ,2 ]
Li S. [3 ]
机构
[1] Institute of Intelligent Manufacturing and Information Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai
[2] Shanghai Municipal Key Laboratory of Advanced Manufacturing Environment, Shanghai
[3] Shanghai Institute of Aerospace System, Shanghai
来源
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2019年 / 25卷 / 11期
关键词
Change impact; Changes propagation; Complex networks; Part features; Product research and development;
D O I
10.13196/j.cims.2019.11.019
中图分类号
学科分类号
摘要
Aiming at the problem that the feature division sets of parts and assembly is not unique, a part feature division method composed of "three-dimensional entity, 2D feature and connection relation" was put forward. The definitions of strong connection relation and weak connection relation among features were given, and the product feature network model was constructed. Based on the strong and weak link network model of complex product features, three discrete states of feature network nodes were defined and the meaning of change propagation index was given. Two types of change propagation probability and its calculation method were defined and the influence degree of change propagation of product feature network was evaluated. The feasibility of the proposed evaluation model was verified through the features network construction of a space product's valve body and the analysis of its change propagation. © 2019, Editorial Department of CIMS. All right reserved.
引用
收藏
页码:2905 / 2912
页数:7
相关论文
共 20 条
  • [1] Clarkso P.J., Simons C., Eckert C., Predicting change propagation in complex design, Journal of Mechanical Design, 126, 5, pp. 788-797, (2004)
  • [2] Eckert C., Clarkson P.J., Zanker W., Change and customisation in complex engineering domains, Research in Engineering Design, 15, 1, pp. 1-21, (2004)
  • [3] Eckert C., Zanker W., Clarkso P.J., Aspects of a better understanding of change, Proceedings of the 13th International Conference on Engineering Design, pp. 147-154, (2001)
  • [4] He R., Tang D., Xue J., Engineering change propagation based on design structure matrix, Computer Integrated Manufacturing Systems, 14, 4, pp. 656-660, (2008)
  • [5] Bae J., Kim S., Identifying and ranking influential spreaders in complex networks by neighborhood coreness, Physica A: Statistical Mechanics and its Applications, 395, pp. 549-559, (2014)
  • [6] Eppinger S.D., Whitney D.E., Smith R.P., Et al., A model-based method for organizing tasks in product development, Research in Engineering Design, 6, 1, pp. 1-13, (1994)
  • [7] Gong Z., Mo R., Yang H., Et al., Method for forecasting avalanche propagation of engineering change, Computer Integrated Manufacturing Systems, 18, 12, pp. 2619-2627, (2012)
  • [8] Zheng Y., Yang Y., Zhang N., Et al., Analysis model for impact of change on complex product design tasks, Computer Integrated Manufacturing Systems, 23, 7, pp. 1423-1428, (2017)
  • [9] Pasqual M.C., De Weck O.L., Multilayer network model for analysis and management of change propagation, Research in Engineering Design, 23, 4, pp. 305-328, (2012)
  • [10] Suh E.S., Deweck O.L., Chang D., Flexible product platforms: framework and case study, Research in Engineering Design, 18, 2, pp. 67-89, (2007)