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复杂系统与复杂性科学  2023, Vol. 20 Issue (1): 88-94    DOI: 10.13306/j.1672-3813.2023.01.012
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生态视角的复杂产品协同设计网络稳定性研究
彭巍, 胡远航a, 龚壮辉a
三峡大学 a.水电机械设备设计与维护湖北省重点实验室;b.机械与动力学院,湖北 宜昌 443002
Stability of Complex Product Collaborative Design Network from Ecological Perspective
PENG Wei, HU Yuanhanga, GONG Zhuanghuia
a. Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance; b. College of Mechanical and Power Engineering, China Three Gorges University, Yichang 443002, China
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摘要 针对复杂产品群智协同设计网络中用户群体结构对其稳定性的影响机制不明确的问题,提出了新的网络稳定性分析方法。基于生态位理论分析了网络中的生态角色,定义了个体生态位表征模型,采用移除网络节点方式进行了实证研究。研究发现,生态位宽度大的多面手和普通设计者及具有较小生态位宽度的多面手是影响网络稳定性的关键角色。研究成果能够为复杂产品群智协同设计网络的精准调控提供参考。
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彭巍
胡远航
龚壮辉
关键词 复杂产品群智协同设计网络稳定性生态位    
Abstract:Aiming at the problem that the influence mechanism of user group structure on the stability of complex product group intelligent collaborative design network is not clear, a new stability analysis method of complex product group intelligent collaborative design network is proposed. Based on niche theory, this paper analyzes the ecological role in the intelligent collaborative design network of complex product groups, defines the individual niche representation model, and makes an empirical study by removing network nodes. It is found that generalists with large niche width, ordinary designers and generalists with small niche width are the key roles affecting the stability of the network. The research results provides a reference for the precise regulation of complex product group intelligent collaborative design network.
Key wordscomplex products    group intelligence collaborative design    network stability    ecological niche
收稿日期: 2021-08-28      出版日期: 2023-04-19
ZTFLH:  TH122  
基金资助:国家重点研发计划资助项目(2018YFB1700801)
通讯作者: 彭巍(1986),男,湖北宜昌人,博士,讲师,主要研究方向为复杂网络分析,复杂产品群智协同设计。   
作者简介: 胡远航(1996),男,湖北松滋人,硕士研究生,主要研究方向为复杂网络分析,复杂产品群智协同设计。
引用本文:   
彭巍, 胡远航, 龚壮辉. 生态视角的复杂产品协同设计网络稳定性研究[J]. 复杂系统与复杂性科学, 2023, 20(1): 88-94.
PENG Wei, HU Yuanhang, GONG Zhuanghui. Stability of Complex Product Collaborative Design Network from Ecological Perspective. Complex Systems and Complexity Science, 2023, 20(1): 88-94.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2023.01.012      或      https://fzkx.qdu.edu.cn/CN/Y2023/V20/I1/88
[1] 李玉鹏,李孟泽,王召同.基于有向加权网络模型的复杂产品多源设计变更传播路径优化[J].机械工程学报,2019,55(6):213222.
LI Y P, LI M Z, WANG Z T. Multi-source design change propagation path optimization for complex products based on directed weighted network model[J]. Journal of Mechanical Engineering, 2019, 55(6):213222.
[2] 郑庆.复杂产品群智协同创新过程建模分析理论及方法研究[D].天津:天津大学,2018.
ZHENG Q. Research on modeling analysis theory and method of complex product swarm intelligence collaborative innovation process[D]. Tianjin: Tianjin University, 2018.
[3] 张晓冬,周宏丽,胡杨.大规模协同环境下知识协作网络的动态鲁棒性[J].计算机集成制造系统,2017, 23(11):23532360.
ZHANG X D, ZHOU H L, HU Y. Dynamic robustness of knowledge collaboration networks in large-scale collaborative environments[J]. Computer Integrated Manufacturing Systems, 2017, 23(11): 23532360.
[4] 卢冬冬,吴洁,刘鹏,等.开源软件社区开发者合作网络稳定性研究——以Angular JS为例[J].复杂系统与复杂性科学,2020, 17(3): 3846.
LU D D, WU J, LIU P, et al. Research on the stability of open source software community developer cooperation network—taking angular JS as an example[J]. Complex Systems and Complexity Science, 2020, 17(3): 3846.
[5] 高贵兵,荣涛,岳文辉.基于复杂网络的制造系统脆弱性综合评估方法[J].计算机集成制造系统,2018, 24(9): 22882296.
GAO G B, RONG T, YUE W H. A Comprehensive vulnerability assessment method for manufacturing systems based on complex networks[J]. Computer Integrated Manufacturing Systems, 2018, 24(9): 22882296.
[6] 于国栋,杨育,李斐,等.客户协同产品创新系统鲁棒性分析与优化[J].计算机集成制造系统,2014, 20(12): 29262934.
YU G D, YANG Y, LI F, et al. Robust analysis and optimization of customer collaborative product innovation system[J]. Computer Integrated Manufacturing Systems, 2014, 20(12): 29262934.
[7] LEI S, ZHANG X, XIE S, et al. Dynamic robustness of semantic-based collaborative knowledge network of open source project[J]. Entropy, 2021, 23(4): 391.
[8] 苏加福,杨育,张娜.基于超网络的协同产品创新知识网络稳定性[J].计算机集成制造系统,2018, 24(12): 30823095.
SU J F, YANG Y, ZHANG N. Knowledge network stability of collaborative product innovation based on hypernetwork[J]. Computer Integrated Manufacturing Systems, 2018, 24(12): 30823095.
[9] YANG G Z, QI X G, LIU L F. Research on network robustness based on different deliberate attack methods[J]. Physica A: Statistical Mechanics and Its Applications, 2020, 545: 110.
[10] 欧阳桃花,胡京波,李洋,等. DFH小卫星复杂产品创新生态系统的动态演化研究:战略逻辑和组织合作适配性视角[J].管理学报,2015, 12(4): 546557.
OUYANG T H, HU J B, LI Y, et al. Dynamic evolution of DFH small satellite complex product innovation ecosystem: strategic logic and organizational cooperation adaptation perspectives[J]. Chinese Journal of Management,2015, 12(4): 546557.
[11] WEBER THOMAS A. How to market smart products: design and pricing for sharing markets[J]. Journal of Management Information Systems, 2020, 37(3): 631667.
[12] GUO W, ZHENG Q, AN W, et al. User roles and contributions during the new product development process in collaborative innovation communities[J]. Applied Ergonomics, 2017, 63: 106114.
[13] 何郁冰,伍静.企业生态位对跨组织技术协同创新的影响研究[J].科学学研究,2020, 38(6): 11081120.
HE Y B, WU J. Research on the impact of enterprise niche on cross-organizational technology collaborative innovation[J]. Studies in Science of Science, 2020, 38(6): 11081120.
[14] 尹航,雷家骕,李晓宇.制造业产品创新过程的概念设计生态位分析模型构建与测评研究[J].中国科技论坛,2013(3):6369.
YI H, LEI J X, LI X Y. Construction and evaluation of niche analysis model of conceptual design for manufacturing product innovation process[J]. Forum on Science and Technology in China, 2013(3):6369.
[15] 张悦,沈蕾,穆钰,等.创意生态圈多主体价值共创研究——基于宁波和丰创意广场的案例研究[J].研究与发展管理, 2020, 32(3): 165178.
ZHANG Y, SHEN L, MU J, et al. A study on multi-agent value co-creation in creative ecosystem—based on a case study of Ningbo hefeng creative square[J]. R&D Management, 2020, 32(3): 165178.
[16] 李契,朱金兆,朱清科.生态位理论及其测度研究进展[J].北京林业大学学报, 2003, 25(1): 100107.
LI Q, ZHU J Z, ZHU Q K. The research progress of niche theory and its measurement[J]. Journal of Beijing Forestry University, 2003, 25(1): 100107.
[17] PI X C, TANG L K, CHEN X Z. A directed weighted scale-free network model with an adaptive evolution mechanism[J]. Physica A: Statistical Mechanics and Its Applications, 2021, 572(15): 113.
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