Method of key process identification and cluster analysis in multi-variety and small-batch manufacturing process

The effective identification of key processes and the lack of quality characteristic data are the keys to quality control of multi-variety and small-batch manufacturing processes. A key process identification method for multi-variety and small-batch manufacturing process based on clear set and gray correlation analysis was proposed, which comprehensively considered factors such as processing difficulty, cost and Vioce of Customer (VOC).On this basis, the key processes of each variety were analyzed based on the hierarchical clustering analysis method, and then the resolution selection scheme was determined, so as to expand the sample size of quality feature data and solve the problem of insufficient quality feature data of key processes. Taking the manufacturing process flow of various products of an aerospace complex component manufacturing enterprise as an example, the proposed method was used to identify and cluster the key processes, and the analysis results verified the effectiveness and feasibility of the proposed models and methods. © 2022, Editorial Department of CIMS. All right reserved.