An integrated operating mechanism for lot sentencing based on process yield

IF 2.3 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL
Shih-Wen Liu, Chien-Wei Wu, Zih-Huei Wang
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引用次数: 5

Abstract

ABSTRACT A flexible sampling policy integrated with the consideration of past records is discussed in this paper for the quality evaluation of submission based on process yield. Lot sentencing plays the main role in buyer-seller business contracts for deliveries. A continuous partnership between the vendor and buyer can help in maintaining historically traceable results whereby the recording information is considered valuable. Hence, we propose a new sampling strategy with an integrated operating mechanism that considers the preceding inspection results to lessen the required average sample number based on process yield. Compared with the conventional methods, the proposed modified sampling strategy has the advantage of having a small number of samples for inspection while providing desirable protection under the same quality requirements and tolerable sampling risks. An application taken from the contact lens industry is presented to demonstrate the practicability of this research.
基于制程成品率的批量量刑一体化运行机制
摘要本文讨论了一种考虑历史记录的柔性抽样策略,用于基于工艺良率的提交质量评价。批量量刑在买卖双方的商业合同中起着重要的作用。卖方和买方之间的持续合作关系有助于维护历史上可追溯的结果,从而认为记录信息是有价值的。因此,我们提出了一种新的采样策略,该策略具有集成的操作机制,该机制考虑了先前的检查结果,以减少基于过程良率的平均样本数。与传统的抽样方法相比,改进的抽样策略在相同的质量要求和可承受的抽样风险下,具有检测样本数量少、保护效果好的优点。以隐形眼镜行业的应用为例,论证了本研究的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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