多品种小批量生产模式下基于相似元的工序能力分析

Process capability analysis based on similarity cell under the multiple-variety and small-batch production mode

随着社会的发展和科技的进步,消费者对于产品的需求呈现多样化,因此多品种小批量生产模式成为制造业的一大主流趋势,但由此带来的加工数据量少的问题给企业生产过程的质量控制及工序能力分析带来了困难。为了解决这个问题,利用相似元理论,根据影响工序的各种因素,将与目标工序相似的其他工序合并成组,通过数据转换扩大样本容量,进而利用大样本加工数据对目标工序进行质量控制和工序能力分析。以某生产车间车削工序为例,计算出该工序的工序能力指数,所得结果与实际情况相符。结果表明,该方法可以给多品种小批量生产模式下企业的质量控制和工序能力分析工作带来许多便捷。

With the development of society and the progress of science and technology,consumers prefer to choose personalized products.Therefore,multiple-variety and small-batch production mode becomes the mainstream of manufacturing.However,under the multiple-variety and smallbatch production mode,it is difficult for companies to control quality and analyse process capability because of the lack of process data.To solve this problem,processes which were similar to target process were sorted out using the principle of similarity cell based on factors which influenced the processes,and then the target process and the similar processes were made into one group.After data from different processes was transformed to the standard,the sample space of target process was expanded.Then quality control and analysis of process capability were carried out on target process using the expanded process data.At last,a turning process in a workshop was taken as an example,its process capability index was obtained by using the proposed method.The result showed that the capability of target process was satisfactory,and the result agreed with the reality.The results show that much convenience can be brought to enterprises to control quality and analysis process capability under the multiple-variety and small-batch production mode.