Cloud Manufacturing (CMfg) is a state-of-the-art manufacturing paradigm implementing the concept of service-oriented manufacturing. Machine tools are one kind of the critical manufacturing resources in Cloud Manufacturing, however machine tool matching is still immature owning to customization manufacturing service demands from users and various disturbing factors in production. This paper proposes a machine tool matching method for dealing with a single Cloud Manufacturing task with complex machine tool application demands. In this method, the demands of machine tools and themselves are described and evaluated based on a universal framework to obtain candidate resource groups satisfying local requirements of sub-demands. Then, a series of Markov Decision Processes (MDP) is established, which take the minimal service cost as optimal object to meet global requirements, and a cross-entropy based algorithm is used to solve the optimal object. Finally, simulation experiments are conducted to validate the usability and superiority in efficiency of the proposed method.

云制造（CMfg）是最先进的制造范例，实现了面向服务的制造概念。机床是Cloud Manufacturing中的一种关键制造资源，但是，由于用户的定制制造服务需求以及生产中的各种干扰因素，机床匹配仍然不成熟。本文提出了一种用于满足单个具有复杂机床应用需求的云制造任务的机床匹配方法。在这种方法中，基于通用框架描述和评估了机床及其本身的需求，以获得满足子需求局部需求的候选资源组。然后，建立了一系列的马尔可夫决策过程（MDP），该算法以最小的服务成本作为满足全局需求的最优对象，并采用基于交叉熵的算法求解最优对象。最后，通过仿真实验验证了该方法的实用性和有效性。