The continuous developing features in the design of mechanical product and based on 3D entity model is aimed at, and the extension of the 4-dimensional model with the process of designing, the knowledge described mode...The continuous developing features in the design of mechanical product and based on 3D entity model is aimed at, and the extension of the 4-dimensional model with the process of designing, the knowledge described model on the level of semantic understanding and summarizing the designing process and the way of discovering knowledge from multi-information model are studied. On the basis of designing the broad sensed collaborative system, through discussion of the relationship between the implicit knowledge of the users and the designing knowledge as well as commanding all the designing links, taking advantage of the way of concluding and deducting in the concept of the designers, the synthetic knowledge unit formed in the dynamic process from the conception design t9 the last design is schemed out, and the knowledge discovered principle in the dynamic designing process of the mechanical products and the key technology in its implementation under the milieu of network is brought forward.展开更多
The 13th Five-Year Plan and the government work report have repeatedly referred to the ＂Intemet＋ government services＂ to achieve data sharing, public interaction, government and enterprise win-win, political and so...The 13th Five-Year Plan and the government work report have repeatedly referred to the ＂Intemet＋ government services＂ to achieve data sharing, public interaction, government and enterprise win-win, political and social, and this is precisely the concept of good governance Together However, the Intemet＋ government services is not the 2.0 version of e-government, but the new interactive experience, is no longer the original government unilateral government information disclosure and online services, but the government, society, business tripartite link Require the Government to do the top design at the same time, but also to change the concept, put down the shelves to the enterprise to leam, with the cooperation, while the policy, service and implementation of the real arrival of the community and citizens.展开更多
Artificial intelligence(AI)has reshaped the subject of product innovation and triggered transformations in product innovation strategies and processes.This study proposes a subject-strategy-process(SSP)framework for b...Artificial intelligence(AI)has reshaped the subject of product innovation and triggered transformations in product innovation strategies and processes.This study proposes a subject-strategy-process(SSP)framework for business intelligence(BI)for big data-driven product innovation through logical deduction,drawing on the theory of big data cooperative assets and an adaptive innovation perspective on enterprise-user interaction.The aim is to explore new mechanisms through which AI influences product innovation in manufacturing.This study indicates three aspects.Firstly,the two-way involvement of humans and AI forms a dual feedback-enhancement mechanism of factor combination and knowledge accumulation.This mechanism drives structural changes in innovation subjects and forms a new foundation for strategic and process transformations in product innovation.Secondly,the alignment between an enterprise’s cognitive strategy about AI,competitive strategy,organizational culture,business model,and ecosystem jointly shapes the integrated application of AI in innovation processes.Thirdly,the new features of the big data-driven product innovation process include full-process diffusion from the fuzzy front end,nonlinear iteration of demand-solution pairs,and generative self-testing in intelligent manufacturing.Taken together,the study demonstrates that the SSP framework is well-suited to analyzing the new mechanisms of BI for big data-driven product innovation,which offers a fresh lens for examining the relationship between AI and product innovation.展开更多
基金Selected from Proceedings of the 7th International Conference on Frontiers of DesignManufacturing(ICFDM'2006)This project is supported by National Natural Science Foundation of China(No.50275100)Key Scientific Technological Projects in Sichuan China(No.2006Z01-001-6).
文摘The continuous developing features in the design of mechanical product and based on 3D entity model is aimed at, and the extension of the 4-dimensional model with the process of designing, the knowledge described model on the level of semantic understanding and summarizing the designing process and the way of discovering knowledge from multi-information model are studied. On the basis of designing the broad sensed collaborative system, through discussion of the relationship between the implicit knowledge of the users and the designing knowledge as well as commanding all the designing links, taking advantage of the way of concluding and deducting in the concept of the designers, the synthetic knowledge unit formed in the dynamic process from the conception design t9 the last design is schemed out, and the knowledge discovered principle in the dynamic designing process of the mechanical products and the key technology in its implementation under the milieu of network is brought forward.
文摘The 13th Five-Year Plan and the government work report have repeatedly referred to the ＂Intemet＋ government services＂ to achieve data sharing, public interaction, government and enterprise win-win, political and social, and this is precisely the concept of good governance Together However, the Intemet＋ government services is not the 2.0 version of e-government, but the new interactive experience, is no longer the original government unilateral government information disclosure and online services, but the government, society, business tripartite link Require the Government to do the top design at the same time, but also to change the concept, put down the shelves to the enterprise to leam, with the cooperation, while the policy, service and implementation of the real arrival of the community and citizens.
基金supported by the key project of the National Natural Science Foundation of China“Research on the Theory,Methods,and Applications of Innovation via Enterprise-User Interaction Driven by Big Data in the Internet Environment”(No.71832014)the key project of the National Natural Science Foundation of China“Research on the Digital Transformation and Adaptive Management Changes of Manufacturing Enterprises”(No.72032009)the major project of the National Social Science Fund of China“Research on the Impact of Artificial Intelligence on the Transformation and Upgrading of the Manufacturing Industry and Its Governance System”(No.23&DA091).
文摘Artificial intelligence(AI)has reshaped the subject of product innovation and triggered transformations in product innovation strategies and processes.This study proposes a subject-strategy-process(SSP)framework for business intelligence(BI)for big data-driven product innovation through logical deduction,drawing on the theory of big data cooperative assets and an adaptive innovation perspective on enterprise-user interaction.The aim is to explore new mechanisms through which AI influences product innovation in manufacturing.This study indicates three aspects.Firstly,the two-way involvement of humans and AI forms a dual feedback-enhancement mechanism of factor combination and knowledge accumulation.This mechanism drives structural changes in innovation subjects and forms a new foundation for strategic and process transformations in product innovation.Secondly,the alignment between an enterprise’s cognitive strategy about AI,competitive strategy,organizational culture,business model,and ecosystem jointly shapes the integrated application of AI in innovation processes.Thirdly,the new features of the big data-driven product innovation process include full-process diffusion from the fuzzy front end,nonlinear iteration of demand-solution pairs,and generative self-testing in intelligent manufacturing.Taken together,the study demonstrates that the SSP framework is well-suited to analyzing the new mechanisms of BI for big data-driven product innovation,which offers a fresh lens for examining the relationship between AI and product innovation.
