Z. Jalilibal, Mohammad Hassan Ahmadi Karavigh, A. Amiri, M. Khoo
{"title":"Run rules schemes for statistical process monitoring: a literature review","authors":"Z. Jalilibal, Mohammad Hassan Ahmadi Karavigh, A. Amiri, M. Khoo","doi":"10.1080/16843703.2022.2084281","DOIUrl":null,"url":null,"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.","PeriodicalId":49133,"journal":{"name":"Quality Technology and Quantitative Management","volume":"20 1","pages":"21 - 52"},"PeriodicalIF":2.3000,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality Technology and Quantitative Management","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/16843703.2022.2084281","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
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.
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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