基于用户需求分离点的制造云服务按需供应优化机理及优化方法研究

The on-demand supply mode of cloud manufacturing is of great significance for revitalizing the manufacturing resource over the wide area. Aiming at the coupling and contradiction problem between the personality, cost and response time of manufacturing cloud service in the environment of massive cloud service during the process of on-demand supplying manufacturing cloud service, this project will present an optimization mechanism and optimization method of manufacturing cloud service on-demand supply based on User Demand Decoupling Point(UDDP) principle. Its characteristic are as follows: ①In the mechanism layer, the classification model and entirety architecture of on-demand supply mode of cloud service based on UDDP are established, which are used to describe the optimization direction of cloud service; Through integrated consideration of the time optimization of cloud service UDDP, space optimization of cloud service topological structure and ordering of cloud service self-organization, the decoupling and optimization mechanism between personality, cost and response time of cloud service are revealed. ②In the method layer, the decision-making process model of UDDP positioning and optimization is studied, to help realize the time dimension optimization of moving back of UDDP; The cloud service topological structure model is studied, the iteration mapping model of cloud service is proposed, to support the space dimension recursion optimization of topological structure; The method of cloud service on-demand self-organization ordering is put forward by studying the self-organization mechanism of organizing and managing cloud service. This project will provide theoretical and methodological support for realizing the decoupling and optimization of personality, cost and response time of manufacturing cloud service in the environment of massive cloud service.

云制造的按需供应模式对盘活广域范围内的制造资源具有重要意义。针对制造云服务按需供应过程中，海量云服务环境下，制造云服务个性化、成本、响应时间的耦合和矛盾问题，本项目以用户需求分离点原理的研究为基础，提出制造云服务按需供应的优化机理及方法，其特点是：①在机理层：建立云服务按需供应模式的分类模型及整体架构，描述云服务的优化方向；通过集成考虑云服务用户需求分离点的时间优化、拓扑结构的空间优化和自组织的有序化，揭示云服务个性化、成本、响应时间的解耦优化机理。②在方法层：研究用户需求分离点定位和优化的决策过程模型，实现用户需求分离点后移的时间维优化；研究云服务拓扑结构模型，提出云服务的迭代映射模型，实现拓扑结构的空间维递归优化；研究海量云服务组织和管理的自组织机制，提出云服务按需自组织有序化的方法。本项目的研究为海量云服务环境下，实现制造云服务个性化、成本、响应时间的解耦优化提供理论和方法支撑。

云制造的按需供应模式对盘活广域范围内的制造资源具有重要意义。针对制造云服务按需供应过程中，海量云服务环境下，制造云服务个性化、成本、响应时间的耦合和矛盾问题，本项目以用户需求分离点原理的研究为基础，1）建立云服务按需供应模式的分类模型及整体架构，描述云服务的优化方向；通过集成考虑云服务用户需求分离点的时间优化、拓扑结构的空间优化和自组织的有序化，揭示云服务个性化、成本、响应时间的解耦优化机理。2）研究用户需求分离点定位和优化的决策过程模型，实现用户需求分离点后移的时间维优化；研究云服务拓扑结构模型，提出云服务的迭代映射模型，实现拓扑结构的空间维递归优化；3）研究海量云服务组织和管理的自组织机制，提出云服务按需自组织有序化的方法以及用户行为驱动的制造云服务的自组织评价方法，保证服务二维优化的有效执行。4）应用理论和方法的研究成果开发模具制造云服务按需供应平台，验证了研究成果能为海量云服务环境下，制造云服务个性化、成本、响应时间的解耦和优化提供理论和方法支撑。本研究已发表标注项目资助的论文7篇，其中SCI收录2篇，EI收录2篇，申请发明专利4项，授权实用新型专利1项，计算机软件著作权4项，基本完成从模式机理-优化方法-系统开发-应用验证于一体的研究路径。