Abstract
Cloud manufacturing is a new manufacturing model based on the network. It collects unevenly distributed physical manufacturing resources of the world into virtual resources and provides services outward by providing services. When a large number of resources accumulate, it is difficult to select optimal resources objectively and a good resource selection method is needed. Service capability is the attribute of resources to provide external services. It plays an extremely important role in measuring the quality of resources. This paper performs analysis in two contexts: the business system and manufacturing process. It uses workflow log mining technology to provide a favourable environment for resource selection. The paper proposes a resource selection method based on service capability and applies it to experimental analysis of a city's the research and development project named 'cloud manufacturing service platform for small and medium-sized enterprises'. The results show that the method proposed is feasible.
Published Version
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