开发一个VSS-EWMA变化系数图表,适用于生产过程
Amna Safeer1, Maysaa Elmahi Abd Elwahab2, Muhammad Nabi3
1Brock University, St. Catharines, Canada.
Scientific reports
|November 3, 2025
概括
一个新的动态适应CV (DACV) 图表可以更好地检测动态生产中的可变性转移. 这个变量样本大小指数加权移动平均 (VSS-EWMA) 图表实时调整样本大小,以更好地控制质量.
科学领域:
- 工业工程 工业工程 工业工程
- 统计过程控制 统计过程控制
- 质量管理质量管理.
背景情况:
- 传统的控制图与动态的生产环境作斗争,其中过程参数波动.
- 监测变化系数对于保持工艺稳定性和产品质量至关重要.
- 现有的方法,如固定样本大小EWMA (FEWMA) 图表,可能缺乏对微妙过程变化的敏感性.
研究的目的:
- 引入一个新的可变样本大小指数加权移动平均 (VSS-EWMA) 控制图,命名为动态自适应CV (DACV) 图.
- 提高动态制造设置变化系数转移的检测.
- 提供一个强大的质量监测工具,可适应实时流程变化.
主要方法:
- 开发动态适应CV (DACV) 图表,在EWMA框架内整合适应抽样策略.
- 与传统的固定样本大小EWMA (FEWMA) 图进行比较性能分析.
- 严格评估使用性能指标,如平均运行长度 (ARL) 和运行长度标准偏差 (SDRL),并补充热图可视化.
主要成果:
- 与FEWMA图表相比,DACV图表在检测工艺变化中的小到中等变化方面表现出更高的灵敏度.
- 性能评估证实了DACV图表在各种转变大小和平滑参数上的稳定性.
- 热图可视化提供了图表有效性和可靠性的明确证据.
结论:
- 拟议的DACV图表是监测动态生产环境中变化系数的一个非常有效的工具.
- 它的自适应采样策略允许实时调整,提高质量控制的灵敏度和稳定性.
- 在半导体制造中的实际应用凸显了DACV图表对现代质量管理系统的巨大潜力.
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