Abstract: Aiming at the characteristics of uncertainty, coarse-grainularity, diversity and dynamic in optimum process of cloud manufacturing services resource combination oriented to new product development, an optimization objective system included eight variables which were T(service Time), Q(service Quality), C(service Cost), A(Availability), Co(Compositionality), Tr(Trust), Ma(Maintainability), Su(Sustainability)was put forward. From this viewpoint, an optimization model of cloud manufacturing services resource combination for new product development was established, and grey relational analysis method was adopted to analyze the solving process of model. A case was used to prove the correctness and practicability of proposed system and model.

Key words: product development, cloud manufacturing, services resource combination, optimization model, grey relational analysis

摘要： 针对面向新产品开发的云制造服务资源组合在优选过程中的不确定性、粗粒度性、多样性、动态性等特点，提出包含T（服务时间）、Q（服务质量）、C（服务成本）、A（可用性）、Co（可组合性）、Tr（可信任性）、Ma（可维护性）和Su（可持续性）等八大目标变量的优选目标体系，建立一种面向新产品开发的云制造服务资源组合优选模型，并采用灰色关联度分析方法对该模型的求解过程进行了分析。以一个应用实例验证了该优选目标体系及优选模型的正确性和实用性。

关键词: 产品开发, 云制造, 服务资源组合, 优选模型, 灰色关联度分析