Abstract
As one of the networked collaborative manufacturing modes, cloud manufacturing was put forward in the early 2000s and has gained more and more attention by governments and research institutions in recent years. Because of the diversity and uncertainty of cloud resource, the cloud manufacturing platform should have the ability of manufacturing risk evaluation to search a suitable alternative resource when a certain cloud resource fails suddenly during the manufacturing process, with the aim of making the probability of the alternative resource failing again come down to the lowest and enabling the manufacturing process implemented well. In this article, a new risk evaluation method based on the extension theory is proposed. The details and a theoretical example study are introduced, and the result shows that the proposed method reflected accurately the manufacturing risk and could effectively support alternative resource selection for cloud manufacturing.