Abstract：Social Cyber-physical system(SCPS)which is applied in the manufacturing process,can connect different levels of the enterprises' manufacturing resources together,achieve on-demand resources configuration and high efficient socialized resource use,and then constitute a new type of wisdom manufacturing organization mode.To realize the effective organization and management for the multi-granularity socialized manufacturing resources under dynamic SCPS environment,a whole framework of resource organization mode was proposed based on the analysis of wisdom manufacturing system architecture and the characteristics of manufacturing resources.The resource organization mode was described in detail from several dimensions include the object,subject,organization form,organization process and organization platform.Lastly,the future application challenges and research direction of wisdom manufacturing resource organization mode were also discussed in depth
[1]LEE J,LAPIRA E,BAGHERI B,et al.Recent advances and trends in predictive manufacturing systems in big data environment[J].Manufacturing letters,2013,1(1):38-41. [2]BRYNER M.Smart manufacturing:the next revolution[J].Chemical engineering progress,2012,108(10):4-12. [3]LEE J,KAO H A,YANG S.Service innovation and smart analytics for industry 4.0 and big data environment[J].Procedia CIRP,2014,16:3-8. [4]XU X.From cloud computing to cloud manufacturing[J].Robotics and computer-integrated manufacturing,2012,28(1):75-86. [5]DAVIS J,EDGAR T,PORTER J,et al.Smart manufacturing,manufacturing intelligence and demand-dynamic performance[J].Computers & chemical engineering,2012,47:145-156. [6]ANDREADIS G.A collaborative framework for social media aware manufacturing[J].Manufacturing letters,2015,3:14-17. [7]HOU R C,DING X Q,TAO Y,et al.Internet of manufacturing things and relevant technical architecture[J].Computer integrated manufacturing systems,2014,20(1). [8]FRAZZON E M,HARTMANN J,MAKUSCHEWITZ T,et al.Towards socio-cyber-physical systems in production networks[J].Procedia CIRP,2013,7:49-54. [9]PORTER M E,HEPPELMANN J E.How smart,connected products are transforming competition[J].Harvard business review,2014,92:11-64. [10]WU D,GREER M J,ROSEN D W,et al.Cloud manufacturing:strategic vision and state-of-the-art[J].Journal of manufacturing systems,2013,32(4):564-579. [11]VINCENT W X,XU X W.An interoperable solution for cloud manufacturing[J].Robotics and computer-integrated manufacturing,2013,29(4):232-247. [12]LI B H,ZHANG L,WANG S L,et al.Cloud manufacturing:a new service-oriented networked manufacturing model[J].Computer integrated manufacturing systems,2010,16(1):1-7. [13]LI G,WEI M.Everything-as-a-service platform for on-demand virtual enterprises[J].Information systems frontiers,2014,16(3):435-452. [14]顾新建,代风,陈芨熙,杨青海,祁国宁.智慧制造与智慧城市的关系研究[J].计算机集成制造系统,2013(05):1127-1133.
2017, 
