基于JMP软件的六西格玛管理在降低冷轧普冷品种小卷现货率中的应用

Application of Six Sigma Management Based on JMP Software in Reducing Small Volume Spot Rate of Cold Rolling CR Variety

摘要: 现货率是一项表征现代钢铁企业质量控制水平和制造能力的综合指标，随着智慧制造在钢铁企业的全面推广，大数据软件分析与六西格玛精益管理在推进企业质量成本改善方面的功效越来越凸显。本文通过借助JMP软件的强大数据分析功能，运用六西格玛工具，对冷轧某单元普冷小卷现货率进行分析，锁定主要因素，降低该品种小卷现货发生概率，降低企业质量成本。

Abstract: Spot rate is a comprehensive indicator that characterizes the quality control level and manufacturing capacity of modern steel companies. With the comprehensive promotion of smart manufacturing in steel companies, big data software analysis and Six Sigma lean management are becoming more and more effective in promoting the improvement of enterprise quality costs. Highlight. In this paper, by using the powerful data analysis function of JMP software and the use of Six Sigma tools, the cold rolling small volume spot rate of a cold-rolled unit is analyzed, and the main factors are locked to reduce the occurrence probability of small volume spot rate of this variety and reduce the cost of enterprise quality.