Manufacturability evaluation is an effective way to shorten development cycles,optimize manufacturing processes,and reduce product costs.The manufacturability of a product depends on the processing capability of a specific manufacturing resource.The development of manufacturing resource model is the basis of manufacturability evaluation.In order to make better use of manufacturing resource information,a hybrid algorithm combining fuzzy C-mean clustering algorithm and genetic algorithm was proposed to group manufacturing resources according to manufacturing characteristics,a manufacturing resource information model was established based on the Object-Oriented method with manufacturing resource constraints,a manufacturability evaluation framework was designed.The hybrid algorithm was used to dynamically determine the optimal number of groupings and the optimal grouping under the number by dividing 32 sets of processing machine.The results show that the hybrid algorithm is reliable and effective in improving the overall performance of the company in which this study is applied,enhancing the feasibility of decision making,and facilitating more informed decisions by management.