方案(数学)
重采样
索引(排版)
采样(信号处理)
抽样方案
计算机科学
过程能力指数
机制(生物学)
数据挖掘
数学
统计
运营管理
工程类
算法
在制品
电信
数学分析
万维网
哲学
认识论
估计员
探测器
作者
Zih‐Huei Wang,Chien‐Wei Wu,Pei-Yi Li
标识
DOI:10.1080/00207543.2024.2357736
摘要
In today's competitive market, product quality holds significant importance for consumers, motivating companies to prioritise high-quality product development and enhance their competitiveness. Acceptance sampling plans have proven to be indispensable tools in quality control practices, enabling producers and consumers to protect their interests by establishing evaluation rules for product batches. As defective rates decrease in modern manufacturing, skip-lot sampling plans (SkSP) have emerged as a suitable way for lots exhibiting stable and excellent product quality. Additionally, repetitive group sampling plan (RGSP) offers a cost-effective way to maintain desired protection for both parties, especially in costly or destructive inspection scenarios. Therefore, this study integrates the benefits of process capability indices, SkSP, and RGSP to develop a new variables SkSP with RGSP as its reference plan based on an advanced capability index Cpmk (called Cpmk-based SkSP-RGSP). The proposed plan achieves comparable discriminatory power to traditional sampling plans while significantly reducing the required sample size. Detailed tables of plan parameters are given to facilitate effective implementation for practitioners.
科研通智能强力驱动
Strongly Powered by AbleSci AI