Some theoretical comments regarding the run-length properties of the synthetic and runs-rules monitoring schemes – Part 1 : Zero-state

dc.contributor.authorShongwe, Sandile Charles
dc.contributor.authorGraham, Marien Alet
dc.contributor.emailsandile@tuks.co.zaen_ZA
dc.date.accessioned2018-09-17T06:00:08Z
dc.date.issued2018
dc.description.abstractIn this paper, we discuss the short-term (also known as zero-state mode) run-length theoretical properties of the four different types of synthetic and runs-rules monitoring schemes that were empirically analyzed in another paper. That is, we provide and point out how each corresponding type of the 2-of-(H + 1) runs-rules and synthetic charts’ transition probabilities matrices (TPMs) differ from each other in zero-state, for any positive integer H. Next, using these general TPMs and the standard Markov chain formulae, we derive the general form of the average run-length (ARL) vectors and the corresponding zero-state ARL expressions for any shift value for each of the four different types of the synthetic and runs-rules monitoring schemes. Finally, we provide expressions to calculate the overall run-length performance for each of the schemes. While there is lots of literature available on empirical analysis of zero-state synthetic and runs-rules charts, there is very little on the corresponding theoretical analysis. We believe this paper will, in some part, fill this gap and encourage more research in this area.en_ZA
dc.description.departmentScience, Mathematics and Technology Educationen_ZA
dc.description.departmentStatisticsen_ZA
dc.description.embargo2019-05-22
dc.description.librarianhj2018en_ZA
dc.description.sponsorshipPart of this work was supported by the SARChI Chair at the University of Pretoria. Sandile Shongwe’s research was supported in part by the National Research Foundation (NRF) and Department of Science and Technology’s Innovation Doctoral scholarship (SFH14081591713; Grant number: 95208) as well as Department of Statistics’ STATOMET and Marien Graham’s research was supported in part by NRF’s Thuthuka program (TTK14061168807, Grant number: 94102).en_ZA
dc.description.urihttp://www.tandfonline.com/loi/ttqm20en_ZA
dc.identifier.citationShongwe, S.C. & Graham, M.A. 2018, 'Some theoretical comments regarding the run-length properties of the synthetic and runs-rules monitoring schemes – Part 1 : Zero-state', Quality Technology and Quantitative Management, NYP.en_ZA
dc.identifier.issn1684-3703
dc.identifier.other10.1080/16843703.2017.1389141
dc.identifier.urihttp://hdl.handle.net/2263/66572
dc.language.isoenen_ZA
dc.publisherTaylor and Francisen_ZA
dc.rights© 2018 International Chinese Association of Quantitative Management. This is an electronic version of an article published in Quality Technology and Quantitative Management, vol. x, no. y, pp. z-zz, 2018. doi : 10.1080/16843703.2017.1389141. Quality Technology and Quantitative Management is available online at: http://www.tandfonline.com/loi/ttqm20.en_ZA
dc.subjectAverage run-length (ARL)en_ZA
dc.subjectOverall performanceen_ZA
dc.subjectRuns-rules chartsen_ZA
dc.subjectSynthetic chartsen_ZA
dc.subjectTransition probability matrix (TPM)en_ZA
dc.subjectZero-stateen_ZA
dc.subjectMatrix algebraen_ZA
dc.subjectMarkov processesen_ZA
dc.subjectGraphic methodsen_ZA
dc.titleSome theoretical comments regarding the run-length properties of the synthetic and runs-rules monitoring schemes – Part 1 : Zero-stateen_ZA
dc.typePostprint Articleen_ZA

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