Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Erik Vanhatalo"'
Autor:
Thomas Zobel, Erik Vanhatalo, Jostein Langstrand, Jacob Hallencreutz, Rickard Garvare, Bjarne Bergquist, Henrik Eriksson
Publikováno v:
Kvalita Inovácia Prosperita, Vol 16, Iss 2, Pp 1-18 (2012)
The purpose of this article is to describe how Quality Management (QM) is perceived today by scholars at three Swedish universities, and into what QM is expected to develop into in twenty years. Data were collected through structured workshops using
Externí odkaz:
https://doaj.org/article/29868ed601014f39b5a61aa43a44aef4
Publikováno v:
Quality and Reliability Engineering International. 38:3689-3709
Publikováno v:
Quality and Reliability Engineering International. 38:2233-2254
Publikováno v:
Sedghi, M, Kauppila, O, Bergquist, B, Vanhatalo, E & Kulahci, M 2021, ' A taxonomy of railway track maintenance planning and scheduling : A review and research trends ', Reliability Engineering and System Safety, vol. 215, 107827 . https://doi.org/10.1016/j.ress.2021.107827
Railway track maintenance and renewal are vital for railway safety, train punctuality, and travel comfort. Therefore, having cost-effective maintenance is critical in managing railway infrastructure assets. There has been a considerable amount of res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c8310a5cb82e8a3b2711425f061e4c6
http://urn.fi/urn:nbn:fi-fe2021102652277
http://urn.fi/urn:nbn:fi-fe2021102652277
Publikováno v:
Total Quality Management & Business Excellence. 31:245-262
Researchers have promoted statistical improvement methods as essential for product and process improvement for decades. However, studies show that their use has been moderate at best. This study ai ...
Publikováno v:
Vanhatalo, E, Kulahci, M & Bergquist, B 2017, ' On the structure of dynamic principal component analysis used in statistical process monitoring ', Chemometrics and Intelligent Laboratory Systems, vol. 167, pp. 1-11 . https://doi.org/10.1016/j.chemolab.2017.05.016
When principal component analysis (PCA) is used for statistical process monitoring it relies on the assumption that data are time independent. However, industrial data will often exhibit serial correlation. Dynamic PCA (DPCA) has been suggested as a
Publikováno v:
Capaci, F, Kulahci, M & Vanhatalo, E 2017, ' Exploring the Use of Design of Experiments in Industrial Processes Operating Under Closed-Loop Control : Experimentation in closed-loop systems ', Quality and Reliability Engineering International, vol. 33, no. 7, pp. 1601-1614 . https://doi.org/10.1002/qre.2128
Industrial manufacturing processes often operate under closed-loop control, where automation aims to keep important process variables at their set-points. In process industries such as pulp, paper, chemical and steel plants, it is often hard to find
Publikováno v:
Capaci, F, Vanhatalo, E, Kulahci, M & Bergquist, B 2019, ' The revised Tennessee Eastman process simulator as testbed for SPC and DoE methods ', Quality Engineering, vol. 31, no. 2, pp. 212-229 . https://doi.org/10.1080/08982112.2018.1461905
Engineering process control and high-dimensional, time-dependent data present great methodological challenges when applying statistical process control (SPC) and design of experiments (DoE) in continuous industrial processes. Process simulators with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dbe1ee7c6516c4c8fa155be948f98e4
https://orbit.dtu.dk/en/publications/aeca130c-25ef-478e-8cfc-9ea9b1fc3c6f
https://orbit.dtu.dk/en/publications/aeca130c-25ef-478e-8cfc-9ea9b1fc3c6f
Autor:
Murat Kulahci, Erik Vanhatalo
Publikováno v:
Vanhatalo, E & Kulahci, M 2015, ' Impact of Autocorrelation on Principal Components and Their Use in Statistical Process Control ', Quality and Reliability Engineering International . https://doi.org/10.1002/qre.1858
A basic assumption when using principal component analysis (PCA) for inferential purposes, such as in statistical process control (SPC), is that the data are independent in time. In many industrial processes, frequent sampling and process dynamics ma
Publikováno v:
Capaci, F, Vanhatalo, E, Bergquist, B & Kulahci, M 2017, Managerial implications for improving continuous production processes . in Proceedings of The 24th EurOMA conference . The 24th International Annual EurOMA Conference, Edingburgh, United Kingdom, 01/07/2017 .
Technical University of Denmark Orbit
Technical University of Denmark Orbit
Data analytics remains essential for process improvement and optimization. Statistical process control and design of experiments are among the most powerful process and product improvement methods available. However, continuous process environments c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5cadca1b28ef7edbf946556bb6592e9e
http://orbit.dtu.dk/en/publications/managerial-implications-for-improving-continuous-production-processes(0b814bc1-e696-4141-b3e9-66ae8b76090f).html
http://orbit.dtu.dk/en/publications/managerial-implications-for-improving-continuous-production-processes(0b814bc1-e696-4141-b3e9-66ae8b76090f).html