目的 针对面向服务的虚拟协同创新环境下团队成员的优选决策问题，提出一种能力驱动的基于设计资源综合表现信息的优选方法。方法 从设计任务工作流程入手，分析了基于设计能力及任务粒度的设计任务的优化与重组。综合考虑设计资源的个人信息、协同合作能力、利益追求等信息，构建了基于综合表现信息的优选指标体系及资源与任务的匹配模型，采用综合线性计算的方式进行最优解的求解。结果 将该方法应用于某拖拉机的CMF设计开发任务的资源优选中，验证了所提方法的可行性和有效性。结论 能力驱动的基于资源综合表现信息的优选与匹配策略，可有效地发挥资源的优势，并提高匹配的科学性。

The paper aims to propose a competency-driven preference method based on comprehensive performance information of design resourcesto solve the problem of the preference decision of team members in a service-oriented virtual collaborative innovation environment. Starting from the design task workflow, the optimization and reorganization of design tasks based on design capabilities and task granularity are analyzed. Taking into account the personal information of design resources, collaborative ability and interest pursuit, the optimization index system based on comprehensive performance information and the matching model of resources and tasks are constructed, and the optimal solution is gained by means of comprehensive linear calculation. The method is applied to the resource selection of a tractor’s CMF design and development task, and the feasibility and effectiveness of the proposed method are verified. The capability-driven optimization and matching strategy based on the comprehensive performance information of resources can effectively exploit the advantages of resources and improve the scientific of matching.