作为制造业信息化的新模式新手段，云制造已成为智慧制造发展的主要趋势。本项目针对云制造海量、异构、分布资源信息难以统一建模和描述的问题，首次提出云端-云制造平台相分离的双层资源模型和基于资源云服务的封装、发布和发现机制，实现物理资源与逻辑资源的松耦合关系。在此基础上，针对云资源的粗粒度性，创新性地提出基于多维可拓理论的性能匹配方法，研究性能匹配可拓模型和多维可拓距计算方法，提升资源性能总体匹配效果；根据云制造中海量QoS信息，创新性地提出基于预测评估和推荐评估的云资源QoS评估模型，不仅满足云制造海量用户高度参与性，还纠正了传统评估方法的主观片面性；根据云制造过程跨地域特征和多优化目标，提出基于改进差分进化算法的资源组合调度优化方法，实现大批量任务多批次混合执行，形成云制造可执行方案。本项目作为信息、制造、计算等多学科交叉的前沿内容，为云制造资源建模和组合调度优化提供理论、方法和技术支持。

As an emerging scenario of manufacturing informatization, Cloud Manufacturing has become one of the major trends of intelligent manufacturing. Aiming at the problem of difficultly unified modeling and describing the massive, heterogeneous and distributed cloud resources information, a Bilayer Cloud Manufacturing Resource Model and related resource-via-cloud-service-based mechanism of resource package, publication and searching are both first proposed, with the result that the loose coupling relationship between physical resources and logical resources is realized. Based on the new model above, taking the coarse granularity of cloud resource into account, a resource performance matching method based on multi-dimension extension theory is innovatively proposed, and the establishment of performance matching extension model and related calculation method of multi-dimensional extension distance will be studied, thus the effectiveness of resource performance comprehensive matching will be promoted; In view of the mass QoS information in Cloud Manufacturing, a cloud resource QoS evaluation model based on predictive evaluation and recommended evaluation is innovatively proposed, thus not only to meet the high degree of participation of mass users, but also to rectify the subjective bias of the traditional evaluation methods; According to the cross-region feature of Cloud Manufacturing process and multi objective optimization, a resource combinational scheduling optimization method based on improved differential evolution algorithm is proposed, with the result of transforming mass task into multi-batch small tasks being parallel and hybrid executed, so the execution scheme of Cloud Manufacturing is generated. As interdisciplinary frontier content of information, manufacturing and computing, this subject will provide theoretical, methodological and technical support for Cloud Manufacturing resource modeling, matching and combinational scheduling.