A new Spk -based sample-size tightening sampling system for lot determination

IF 2.3 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Quality Technology and Quantitative Management Pub Date : 2023-03-21 DOI:10.1080/16843703.2021.2021617
Shih-Wen Liu, Zih-Huei Wang
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引用次数: 1

Abstract

ABSTRACT This article presents a new Spk-based sample-size tightening sampling system by variables inspection for lot determination when the quality characteristic has bilateral specification limits. The proposed system has a flexible switching mechanism between normal and tightened inspection, which is adaptively employed for the occurrence of quality deterioration in submitted lots. The performances of discriminatory power, economy and sensitivity to quality shift of the proposed method are demonstrated by comparing the operating characteristic (OC) curve, average sample number (ASN) and average run length (ARL), respectively, with the existing sampling plans. Furthermore, for practical application, the solved plan parameters under certain quality conditions are tabulated for quick reference, and an example taken from the Multi-layer Ceramic Capacitor (MLCC) industry is studied for illustration.
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一种新的基于Spk的批量确定样本量收紧采样系统
摘要本文提出了一种新的基于Spk的变量检验样本量收紧抽样系统,用于在质量特性具有双边规格限制时确定批次。所提出的系统在正常检查和严格检查之间具有灵活的切换机制,可自适应地用于所提交批次中质量恶化的情况。通过将操作特性曲线(OC)、平均样本数(ASN)和平均行程长度(ARL)分别与现有的采样计划进行比较,证明了该方法的判别能力、经济性和对质量偏移的敏感性。此外,为了实际应用,将在一定质量条件下求解的方案参数制成表格以供快速参考,并以多层陶瓷电容器(MLCC)行业为例进行了说明。
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来源期刊
Quality Technology and Quantitative Management
Quality Technology and Quantitative Management ENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
5.10
自引率
21.40%
发文量
47
审稿时长
>12 weeks
期刊介绍: Quality Technology and Quantitative Management is an international refereed journal publishing original work in quality, reliability, queuing service systems, applied statistics (including methodology, data analysis, simulation), and their applications in business and industrial management. The journal publishes both theoretical and applied research articles using statistical methods or presenting new results, which solve or have the potential to solve real-world management problems.
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