建立二次指数质量增损函数模型和过程平均值的设计
Bo Wang1,2,3, Qikai Li4, Qi Yang5
1School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.
Heliyon
|September 10, 2024
概括
一个新的二次指数质量增损函数 (QGLF) 解决了不对称的增长率. 这种增强的模型改善了非正常和截断的正常分布的质量管理.
科学领域:
- 工业工程 工业工程 工业工程
- 质量管理质量管理.
- 统计过程控制 统计过程控制
背景情况:
- 传统的质量增损函数 (QGLF) 可能无法完全捕捉不对称的增长率.
- 一个过程的不同方面增长率的波动需要更复杂的建模.
研究的目的:
- 开发一个先进的二次指数质量增损函数 (QGLF).
- 通过考虑不对称的增长率波动来提高质量管理.
主要方法:
- 该研究引入了基于不对称的QGLF的二次指数QGLF.
- 对非正常 (三角形) 和截断的正常分布进行优化.
- 案例研究方法用于经验验证.
主要成果:
- 二次指数QGLF模型证明了实证有效性.
- 该模型在改善质量管理方面的适用性得到证实.
- 对于指定的分布场景,可以实现有效的优化.
结论:
- 提出的二次指数QGLF是现代质量管理的一个强大的工具.
- 这种模型为具有不对称生长特征的过程提供了更好的准确性.
- 它为加强质量控制策略提供了实际框架.
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