Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Marit Schoonhoven"'
Publikováno v:
International Journal of Lean Six Sigma. 13:33-45
Purpose Cost reduction is a current topic within healthcare. This article aims to show how Lean Six Sigma can be applied to make the orthopedic outpatient clinic within a hospital more cost-effective. The approach can, of course, also be applied to o
Publikováno v:
Journal of Quality Technology. 54:127-143
In this case study, we demonstrate the use of multilevel process monitoring in quality control. Using high school data, we answer three research questions related to high school student progress during an academic year. The questions are (1) What det
Publikováno v:
Journal of Quality Technology, 52(4), 355-369. American Society for Quality
Because the in-control distribution and parameters are generally unknown, control limits have to be estimated using a Phase I reference sample. Because different practitioners obtain different samples, their control limit estimates will vary and, con
Publikováno v:
Quality and Reliability Engineering International, 35(4), 1117-1128. John Wiley and Sons Ltd
An open topic within statistical process monitoring is the effect on control chart properties of updating the control chart limits during the monitoring period. The challenge is to use the correct data for updating the control limits as in‐control
Publikováno v:
Quality and Reliability Engineering International. 34:979-996
Because of digitalization, many organizations possess large datasets. Furthermore, measurement data are often not normally distributed. However, when samples are sufficiently large, the central limit theorem may be used for the sample means. In this
Autor:
Subha Chakraborti, Michele Maria da Silva, Eugenio K. Epprecht, Marit Schoonhoven, Rob Goedhart, Alvaro Veiga, Ronald J. M. M. Does
Publikováno v:
IISE Transactions, 49(8), 838-848. Taylor and Francis Ltd.
Several recent studies have shown that the number of Phase I samples required for a Phase II control chart with estimated parameters to perform properly may be prohibitively high. Looking for a more practical alternative, adjusting the control limits
Autor:
Marit Schoonhoven
Publikováno v:
Quality and Reliability Engineering International. 33:745-749
At the origination of the Shewhart control chart, it was assumed that the process parameters were known. The in-control Average Run Length (ARL) and the probability of having a false alarm (P) were introduced as metrics to indicate the in-control per
Publikováno v:
Quality Technology and Quantitative Management, 13(1), 29-38. Taylor and Francis Ltd.
In practice, the EWMA control chart for process monitoring is based on parameters estimated from a retrospective data set representing the process characteristic under study. This data set may contain contaminated observations, which in turn can affe
Publikováno v:
International Journal of Production Research, 54(24), 7464-7479. Taylor and Francis Ltd.
In this paper we derive correction factors for Shewhart control charts that monitor individual observations as well as subgroup averages. In practice, the distribution parameters of the process characteristic of interest are unknown and, therefore, h
Publikováno v:
Journal of Quality Technology, 50(1), 130-132. American Society for Quality
Journal of Quality Technology, 49(2), 155-171. American Society for Quality
Journal of Quality Technology, 49(2), 155-171. American Society for Quality
When in-control parameters are unknown, they have to be estimated using a reference sample. Due to the use of different reference samples in phase I, the control chart performance in phase II will vary across practitioners. This variation is especial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e5a993bb6300679b7c07208c9d91fd8
https://dare.uva.nl/personal/pure/en/publications/on-guaranteed-incontrol-performance-for-shewhart-x-and-x-control-charts(bda23560-2b3d-40ac-97ce-4fb0b646cfb6).html
https://dare.uva.nl/personal/pure/en/publications/on-guaranteed-incontrol-performance-for-shewhart-x-and-x-control-charts(bda23560-2b3d-40ac-97ce-4fb0b646cfb6).html