In order to implement Circular Economy (CE) smoothly, it is necessary to understand what kind of support the manufacturing industry needs on the road to CE, and to find out the technical indicators that can improve CE performance. This use the Multiple Attribute Decision Making (MADM) method to fill in the gaps in this research field. Through the distribution of questionnaires, experts are invited to provide data with reference to their professional experience. After data integration, the Fuzzy Delphi Method (FDM) method is used to screen out important driving factors and 9R indicators. Then, Grey Relational Analysis (GRA) is used to get important and key driving factors. According to the FDM results of this study, the top 9R indicators are Reduce, Reuse, and Rethink. As for the GRA results, the top-ranking driving factors are the support of the parent company (headquarters), the promotion of the company's reputation and energy saving.