摘要
针对新能源汽车电池壳变形的质量问题,在戴明循环(PDCA)的基础上导入了失效模式与后果分析(FMEA)、试验设计(DOE)以及统计过程控制(SPC)等方法,对质量影响因素进行识别和分析,并规范了质量改善流程。基于行动优先级识别出重要因素,对其采用单因子分析、多因子交互作用分析,运用Minitab软件量化试验数据从而分析得到改善方案。通过实施和验证,认为该方案具有成效并能够为下一轮PDCA改进提供可靠依据。
Due to the quality problem of the battery tray deformation in the new-energy automotive industry,the Deming cycle(PDCA)was utilized by integrating the failure mode and effects analysis(FMEA),design of experiment(DOE)and statistical process control(SPC),identifying and analyzing the quality impact factors and standardizing the process of quality improvement.Key factors that were filtered based on the action priority were analyzed by using single-factor analysis as well as multi-factor interaction analysis.The experimental data were quantified and studied in Minitab software and led to an improvement plan.Both its implementation and verification show that the plan is effective and provides a reliable basis for the next round of PDCA improvement.
作者
于浩
尤筱玥
YU Hao;YOU Xiaoyue(Casting Branch,HASCO KSPG Nonferrous Components(Shanghai)Co.,Ltd.,Shanghai 201815,China;Sino-German College of Applied Sciences,Tongji University,Shanghai 201804,China)
出处
《上海管理科学》
2022年第2期75-81,共7页
Shanghai Management Science
基金
上海市青年科技英才扬帆计划资助(21YF1449500)。
关键词
戴明循环
质量改善
电池壳
试验设计
失效模式与后果分析
PDCA cycle
quality improvement
battery tray
design of experiment
failure mode and effects analysis(FMEA)
