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

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dc.contributor.author Shongwe, Sandile Charles
dc.contributor.author Graham, Marien Alet
dc.date.accessioned 2018-09-17T06:00:08Z
dc.date.issued 2018
dc.description.abstract In 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.department Science, Mathematics and Technology Education en_ZA
dc.description.department Statistics en_ZA
dc.description.embargo 2019-05-22
dc.description.librarian hj2018 en_ZA
dc.description.sponsorship Part 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.uri http://www.tandfonline.com/loi/ttqm20 en_ZA
dc.identifier.citation Shongwe, 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.issn 1684-3703
dc.identifier.other 10.1080/16843703.2017.1389141
dc.identifier.uri http://hdl.handle.net/2263/66572
dc.language.iso en en_ZA
dc.publisher Taylor and Francis en_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.subject Average run-length (ARL) en_ZA
dc.subject Overall performance en_ZA
dc.subject Runs-rules charts en_ZA
dc.subject Synthetic charts en_ZA
dc.subject Transition probability matrix (TPM) en_ZA
dc.subject Zero-state en_ZA
dc.subject Matrix algebra en_ZA
dc.subject Markov processes en_ZA
dc.subject Graphic methods en_ZA
dc.title Some theoretical comments regarding the run-length properties of the synthetic and runs-rules monitoring schemes – Part 1 : Zero-state en_ZA
dc.type Postprint Article en_ZA


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