Automated stem cell production by bio-inspired control

Autor: Christian Brecher, Sven Jung, Robert Schmitt, Niels König, Balázs Cs. Csáji, Péter Egri, László Monostori, Krisztián Balázs Kis, József Váncza, Stephan Wein, Simon Pieske, Jelena Ochs

Publikováno v: CIRP Journal of Manufacturing Science and Technology. 33:369-379

The potential in treating chronic and life-threatening diseases by stem cell therapies can greatly be exploited via the efficient automation of stem cell production. Working with living material though poses severe challenges to automation. Recently,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::abbc4327c31c903d461a7af5e6dee220
https://doi.org/10.1016/j.cirpj.2021.03.013

Towards living manufacturing systems

Autor: László Monostori, József Váncza

Publikováno v: Procedia CIRP. 93:323-328

The impact of the forth industrial revolution on the social and natural environment is considered significant and far-reaching, even though the interactions of the human, natural and manufactured assets are less understood, extremely complex and unpr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69aeb8b70eb68d0ff4ae4528f4a35034
https://doi.org/10.1016/j.procir.2020.04.150

Towards high performance living manufacturing systems - A new convergence between biology and engineering

Autor: R. Wertheim, F.J.A.M. van Houten, Konrad Wegener, O. Damm, László Monostori, Roberto Teti, Gerry Byrne, F. Sammler

Publikováno v: CIRP Journal of Manufacturing Science and Technology, 34
CIRP journal of manufacturing science and technology, 34, 6-21. Elsevier

This paper reports on a highly ambitious international study undertaken in the period 2018–2020 on the topic of convergence between biology and advanced manufacturing systems. The international team (authors of this paper) worked together to analys

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd194a53251edc667705822c54384b1b
https://hdl.handle.net/20.500.11850/507060

Bio-inspired control of automated stem cell production

Autor: Christian Brecher, József Váncza, Simon Pieske, Sven Jung, Péter Egri, Stephan Wein, Robert Schmitt, Balázs Cs. Csáji, László Monostori, Niels König, Jelena Ochs, Krisztián Balázs Kis

Publikováno v: Procedia CIRP 88, 600-605 (2020). doi:10.1016/j.procir.2020.05.105 special issue: "13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 17-19 July 2019, Gulf of Naples, Italy / Edited by Roberto Teti, Doriana M. D'Addona"
13. CIRP Conference on Intelligent Computation in Manufacturing Engineering, Naples, Italy, 2010-07-17-2019-07-19
Procedia CIRP

13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Naples, Italy, 17 Jul 2010 - 19 Jul 2019; Procedia CIRP 88, 600-605 (2020). doi:10.1016/j.procir.2020.05.105 special issue: "13th CIRP Conference on Intelligent Computation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41722cc16a110a3a701f5407f00f6c29

Lead time prediction using machine learning algorithms: A case study by a semiconductor manufacturer

Autor: Lukas Lingitz, Dávid Gyulai, András Pfeiffer, Fazel Ansari, Wilfried Sihn, László Monostori, Viola Gallina

Publikováno v: Procedia CIRP

The accurate prediction of manufacturing lead times (LT) significantly influences the quality and efficiency of production planning and scheduling (PPS). Traditional planning and control methods mostly calculate average lead times, derived from histo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c292245f3ac049dc8b7e3e4436ca812
https://doi.org/10.1016/j.procir.2018.03.148