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pro vyhledávání: '"Ronald J.M.M. Does"'
Autor:
Ronald J.M.M. Does, Albert Trip
Publikováno v:
Austrian Journal of Statistics, Vol 30, Iss 1 (2016)
The use of statistics in quality management has a long history. Pioneers in this field, such as Walter A. Shewhart and W. Edwards Deming, refer to themselves as industrial statisticians. Statistical thinking in industry means that all work is regarde
Externí odkaz:
https://doaj.org/article/19d84209c3b143e182776c88e3d16373
Søren Bisgaard was an extremely productive and insightful scholar of modern industrial statistics and quality engineering. He was amazing for both his breadth of interests and the depth of his scholarship. Søren was one of the very few people makin
Autor:
Ronald J.M.M. Does, Bart Lameijer
Publikováno v:
International Journal of Lean Six Sigma. 13(1):1-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::707b55aa3a007ddfbc8663ec82ba1bbc
https://doi.org/10.1108/IJLSS-02-2022-228
https://doi.org/10.1108/IJLSS-02-2022-228
Publikováno v:
Computers & Industrial Engineering, 169:108185. Elsevier
Parameter estimation is an important topic in Statistical Process Monitoring, as inaccurate estimates may lead to undesirable control chart performance. Updating the control chart limits during the monitoring period reduces estimation uncertainty. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9f1c2bf37a195a4cd54fffc75506f22
https://hdl.handle.net/11245.1/145d96a7-dbc0-455c-bc1b-ba2b35321a74
https://hdl.handle.net/11245.1/145d96a7-dbc0-455c-bc1b-ba2b35321a74
Lean Six Sigma is the global standard for organizing the design, data-based improvement and control of business processes. Well-designed and controlled processes are key in achieving and sustaining operational excellence. They ensure the quality of s