As a new mode and means of smart manufacturing,smart cloud manufacturing(SCM)faces great challenges in massive supply and demand,dynamic resource collaboration and intelligent adaptation.To address the problem,this pa...As a new mode and means of smart manufacturing,smart cloud manufacturing(SCM)faces great challenges in massive supply and demand,dynamic resource collaboration and intelligent adaptation.To address the problem,this paper proposes an SCM-oriented dynamic supply-demand(SD)intelligent adaptation model for massive manufacturing services.In this model,a collaborative network model is established based on the properties of both the supply-demand and their relationships;in addition,an algorithm based on deep graph clustering(DGC)and aligned sampling(AS)is used to divide and conquer the large adaptation domain to solve the problem of the slow computational speed caused by the high complexity of spatiotemporal search in the collaborative network model.At the same time,an intelligent supply-demand adaptation method driven by the quality of service(QoS)is established,in which the experiences of adaptation are shared among adaptation subdomains through deep reinforcement learning(DRL)powered by a transfer mechanism to improve the poor adaptation results caused by dynamic uncertainty.The results show that the model and the solution proposed in this paper can performcollaborative and intelligent supply-demand adaptation for themassive and dynamic resources in SCM through autonomous learning and can effectively performglobal supply-demand matching and optimal resource allocation.展开更多
Domestic asset price fluctuations triggered by the impact of the Fed's interest rate hike may lead to a spiral of mutual feedback between fluctuations in real economy and systematic risks of the financial sector.B...Domestic asset price fluctuations triggered by the impact of the Fed's interest rate hike may lead to a spiral of mutual feedback between fluctuations in real economy and systematic risks of the financial sector.By constructing a DSGE model of small-scale open economy including cross-border capital flows and supply-demand financial frictions,this paper describes the negative feedback mechanism formed by the interplay between domestic real-economy fluctuations and financial risks on both supply and demand sides under the impact of Fed's interest rate hike,and studies how to coordinate monetary policy and macroprudential policies under the goals of maintaining stable growth and preventing risks.展开更多
基金This paper was supported in part by the National Natural Science Foundation of China under Grant 62172235in part by Natural Science Foundation of Jiangsu Province of China under Grant BK20191381in part by Primary Research&Development Plan of Jiangsu Province Grant BE2019742.
文摘As a new mode and means of smart manufacturing,smart cloud manufacturing(SCM)faces great challenges in massive supply and demand,dynamic resource collaboration and intelligent adaptation.To address the problem,this paper proposes an SCM-oriented dynamic supply-demand(SD)intelligent adaptation model for massive manufacturing services.In this model,a collaborative network model is established based on the properties of both the supply-demand and their relationships;in addition,an algorithm based on deep graph clustering(DGC)and aligned sampling(AS)is used to divide and conquer the large adaptation domain to solve the problem of the slow computational speed caused by the high complexity of spatiotemporal search in the collaborative network model.At the same time,an intelligent supply-demand adaptation method driven by the quality of service(QoS)is established,in which the experiences of adaptation are shared among adaptation subdomains through deep reinforcement learning(DRL)powered by a transfer mechanism to improve the poor adaptation results caused by dynamic uncertainty.The results show that the model and the solution proposed in this paper can performcollaborative and intelligent supply-demand adaptation for themassive and dynamic resources in SCM through autonomous learning and can effectively performglobal supply-demand matching and optimal resource allocation.
基金Major philosophy and social science research project sponsored by the Ministry of Education"Research on the Construction of China's Monetary Policy System in the New Normal of Economic Development"(15JZD013).
文摘Domestic asset price fluctuations triggered by the impact of the Fed's interest rate hike may lead to a spiral of mutual feedback between fluctuations in real economy and systematic risks of the financial sector.By constructing a DSGE model of small-scale open economy including cross-border capital flows and supply-demand financial frictions,this paper describes the negative feedback mechanism formed by the interplay between domestic real-economy fluctuations and financial risks on both supply and demand sides under the impact of Fed's interest rate hike,and studies how to coordinate monetary policy and macroprudential policies under the goals of maintaining stable growth and preventing risks.
