Run rules schemes for statistical process monitoring: a literature review

IF 2.3 2区工程技术 Q3 ENGINEERING, INDUSTRIAL

Quality Technology and Quantitative Management Pub Date : 2022-06-16 DOI:10.1080/16843703.2022.2084281

Z. Jalilibal, Mohammad Hassan Ahmadi Karavigh, A. Amiri, M. Khoo

引用次数: 5

Abstract

ABSTRACT Different control charts are developed for monitoring various types of quality characteristics in the area of Statistical Process Monitoring (SPM). Moreover, new techniques are proposed to improve the performances of the suggested control charts. One of the popular techniques for this purpose is run rules. These rules increase the sensitivity of control charts in detecting different shift sizes, especially small and medium shifts. In this paper, a content analysis (based on 100 papers in this area from 1955 to 2020) is conducted to (i) classify the articles that employed run rules in SPM, (ii) recognize the research gaps and (iii) provide guidance to motivate future research in this area.

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统计过程监控的运行规则方案:文献综述

在统计过程监控(SPM)领域中，为了监控各种类型的质量特征，开发了不同的控制图。此外，还提出了新的技术来提高所建议的控制图的性能。用于此目的的一种流行技术是运行规则。这些规则增加了控制图检测不同位移大小的灵敏度，特别是中小位移。在本文中，进行了内容分析(基于1955年至2020年该领域的100篇论文)，以(i)对在SPM中使用运行规则的文章进行分类，(ii)识别研究空白，(iii)为激励该领域的未来研究提供指导。

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 ENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE

CiteScore

5.10

自引率

21.40%

发文量

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.