云制造
云计算
服务(商务)
计算机科学
个性化
社会性
社会学习
知识管理
过程管理
业务
万维网
营销
生态学
生物
操作系统
作者
Deyu Zhou,Xue Xiao,Zhangbing Zhou
出处
期刊:IEEE Transactions on Industrial Informatics
[Institute of Electrical and Electronics Engineers]
日期:2022-12-01
卷期号:18 (12): 9017-9026
被引量:34
标识
DOI:10.1109/tii.2022.3173053
摘要
As a new form of manufacturing in the industrial Internet era, cloud manufacturing service ecosystem (CMSE) can meet complex customization needs through a dynamic collaborative network between cloud manufacturing services. The source of cloud manufacturing service is social, and such sociality aggravates the uncertainty and dynamics of CMSE. This poses new challenges to the analysis of CMSE's evolution. The existing model social learning evolution (SLE) model only analyzes manufacturing service ecosystem from the perspective of individuals and lacks research on the organizational structure among individuals. In this article, we propose the improved model (SLE2) from a system perspective, which reconstructed the three layers of the SLE model: the individual layer describes the learning and evolution characteristics of service agents; the organization layer describes the competition and cooperation among service agents; and the social layer describes the value-driven social network operation mode. Finally, the article verifies that the SLE2 model is effective through computational experimental results.
科研通智能强力驱动
Strongly Powered by AbleSci AI