Abstract: 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.

Key words: multi-variety and small-batch, key processes, clear set, hierarchical clustering analysis, aerospace complex component

摘要： 关键工序的有效识别及其质量特征数据不足问题是多品种小批量制造过程质量控制的关键。由此,提出一种基于清晰集与灰色关联分析的多品种小批量制造过程关键工序识别方法,综合考虑加工难度、成本、客户(VOC)等因素,构建多品种小批量质量关键工序的识别模型;在此基础上,基于层次聚类分析法对各品种的关键工序进行聚类分析,进而确定分辨率的选择方案,扩大质量特征数据样本量,解决关键工序的质量特征数据不足的问题。以某航天复杂构件制造企业的各品种产品制造工艺流程为例,应用所提方法对其关键工序进行识别与聚类分析,结果验证了所提模型与方法的有效性与可行性。

关键词: 多品种小批量, 关键工序, 清晰集, 层次聚类分析法, 航天复杂构件