经济统计模型的np图表监测缺陷的经济统计模型
Salah Haridy1,2, Batool Alamassi3, Ahmed Maged4,5
1Department of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, Sharjah, UAE. sharidy@sharjah.ac.ae.
Scientific reports
|August 14, 2023
概括
本研究介绍了一种优化的np图表,用于监测制造缺陷,与传统方法相比,大大提高了成本效益和检测准确性. 增强的np图表在质量控制方面提供了卓越的经济统计性能.
科学领域:
- 工业工程 工业工程 工业工程
- 统计质量控制 统计质量控制
- 运营研究 运营研究
背景情况:
- 属性质量特征在制造过程中比变量特征更容易监控.
- 属性控制图的经济统计设计,比如np图,比变量图的经济统计设计更少被探索.
- 传统的np图表需要优化,以提高缺陷检测和降低成本.
研究的目的:
- 开发一种算法,以优化np图的经济统计性能.
- 为了最大限度地降低预期的总成本,同时提高检测越来越多的缺陷变化.
- 为监控制造缺陷提供了传统np图表的优质替代方案.
主要方法:
- 基于肯经济模型的np图表优化算法的开发.
- 在各种操作场景下调查np图的有效性.
- 使用现实生活制造数据进行比较分析.
主要成果:
- 拟议的np图表显示出与传统的np图表相比的显著优势.
- 该算法有效地平衡了经济目标 (成本最小化) 与统计性能 (转变检测).
- 优化的np图表显示,在检测越来越多的缺陷率方面有了显著的改进.
结论:
- 开发的np图表为监测制造缺陷提供了增强的经济统计性能.
- 提出的方法适用于现实世界的场景,性能优于传统方法.
- 对属性图表的经济统计设计进行进一步研究是有必要的.
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