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 |