Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Maysa S. de Magalhães"'
Publikováno v:
Brazilian Journal of Operations & Production Management, Vol 2, Iss 1, Pp 25-38 (2010)
When an economic-statistical model for a control chart is considered the effect of the choice of the bounds on the average times until a signal on the cost for controlling the process, including the cost with non-conformities produced, and on the des
Externí odkaz:
https://doaj.org/article/559ae1b6ecde470795de852aaf6fbf58
Publikováno v:
Brazilian Journal of Operations & Production Management, Vol 2, Iss 2, Pp 21-38 (2010)
In this article, we consider a non-central chi-square chart with double sampling (DS χ2 chart) to control the process mean and variance. As in the case of Shewhart control charts, samples of fi xed size are taken from the process at regular time int
Externí odkaz:
https://doaj.org/article/26cefe4349b54396b63b66ac136f129b
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 82:1433-1445
We propose a model for the statistical design of a variable sample size chi-squared control chart (VSS χ 2 control chart) for monitoring linear profiles. Performance measures of the proposed adaptive control chart are obtained through a Markov chain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ed85e2cea290b067e772e0354dd38e8
https://doi.org/10.1007/s00170-015-7429-z
https://doi.org/10.1007/s00170-015-7429-z
Publikováno v:
Applied Stochastic Models in Business and Industry. 28:251-263
The statistical process control of certain complex production processes or products rely on the monitoring of profiles. In this work, we consider a spectral-based method to distinguish between outlier and nonoutlier observations to establish profile
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87bef91b1a125c1c6cf84d80e6f65aa2
https://doi.org/10.1002/asmb.1916
https://doi.org/10.1002/asmb.1916
Publikováno v:
Production. 21:259-270
Production processes are monitored by control charts since their inception by Shewhart (1924). This surveillance is useful in improving the production process due to increased stabilization of the process, and consequently standardization of the outp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e826ff3ccbd1d7fe18d02cc7cda5f90c
https://doi.org/10.1590/s0103-65132011005000031
https://doi.org/10.1590/s0103-65132011005000031
Publikováno v:
Journal of Applied Statistics. 38:87-112
In this article, we propose a double-sampling (DS) np control chart. We assume that the time interval between samples is fixed. The choice of the design parameters of the proposed chart and also comparisons between charts are based on statistical pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3d6b9b47e6aee0783c1eeb5a3e7968e
https://doi.org/10.1080/02664760903266007
https://doi.org/10.1080/02664760903266007
Publikováno v:
International Journal of Production Research. 47:5067-5086
In this paper, we propose a synthetic control chart with two-stage testing (SyTS chart) to control the process mean and variance. As in the case of Shewhart control charts, samples are taken from the process at regular time intervals; however, testin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a8630ae7613d1000f141b8557337094
https://doi.org/10.1080/00207540802047098
https://doi.org/10.1080/00207540802047098
Publikováno v:
Quality and Reliability Engineering International. 23:821-831
Traditionally, an chart is used to control the process mean and an R chart is used to control the process variance. However, these charts are not sensitive to small changes in the process parameters. The adaptive and R charts might be considered if t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b79454e914e97c19e5a1dec474e85cf0
https://doi.org/10.1002/qre.842
https://doi.org/10.1002/qre.842
Publikováno v:
População, espaço e sustentabilidade: contribuições para o desenvolvimento do Brasil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ca820673dd1ef56ffacc3551c115aae
https://doi.org/10.21579/isbn.9788524043192_cap10
https://doi.org/10.21579/isbn.9788524043192_cap10
Publikováno v:
International Journal of Production Economics. 99:236-246
Escola Nacl Ciencias Estatist, Inst Brasileiro Geog & Estatist, BR-20231050 Rio de Janeiro, Brazil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e7289e1a9f482152a8e63c73e737f88
https://doi.org/10.1016/j.ijpe.2004.12.013
https://doi.org/10.1016/j.ijpe.2004.12.013