Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Lauren Van De Ginste"'
Autor:
Lauren Van De Ginste, Alexander De Cock, Axl Van Alboom, Stijn Huysentruyt, El-Houssaine Aghezzaf, Johannes Cottyn
Publikováno v:
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
As assembly systems move into the era of mass customisation, the complexity of design processes, (re)configurations and operations rises. Well-structured data are key in keeping this complexity manageable. Here to, this paper presents a multidimensio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6614b53cc7ce39394d9d3e62ecc06bfd
https://hdl.handle.net/1854/LU-8769357
https://hdl.handle.net/1854/LU-8769357
Publikováno v:
PROCEDIA CIRP
In manufacturing and assembly operations, Overall Equipment Effectiveness (OEE) is a frequently used quantitative metric for measuring the overall productivity of a single machine, cell or an integrated manufacturing system. However, it does neglect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a51348d5b8b461f650be7219e0f812f
https://biblio.ugent.be/publication/8754550/file/8754551
https://biblio.ugent.be/publication/8754550/file/8754551
Autor:
Yogang Singh, Johannes Cottyn, El-Houssaine Aghezzaf, Axl Van Alboom, Alexander De Cock, Lauren Van De Ginste
Publikováno v:
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030859138
Advances in production management systems, artificial intelligence for sustainable and resilient production systems, IFIP WG 5.7 International Conference, APMS 2021, proceedings, part v
Advances in production management systems, artificial intelligence for sustainable and resilient production systems, IFIP WG 5.7 International Conference, APMS 2021, proceedings, part v
In the Industry 4.0 area, there is an increasing demand for highly customized products in small batch sizes. Final assembly operations are frequently targeted to embed flexibility and compensate for the growing manufacturing uncertainties. Therefore,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::719bbf3855cee2ed093aa8a50e2ac035
https://doi.org/10.1007/978-3-030-85914-5_12
https://doi.org/10.1007/978-3-030-85914-5_12
Autor:
Steven Hoedt, Matthias Schamp, Arno Claeys, Johannes Cottyn, El-Houssaine Aghezzaf, Lauren Van De Ginste
Publikováno v:
25th International Conference on Production Research Manufacturing Innovation : Cyber Physical Manufacturing (ICPR25), Proceedings
For many decades, research has been done on the effect of learning and forgetting for manual assembly operations. Due to the evolution towards mass customization, cycle time prediction becomes more and more complex. The frequent change of tasks for a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccc35819b7cf6d08bc55d554348b4a88
https://doi.org/10.1016/j.promfg.2020.01.390
https://doi.org/10.1016/j.promfg.2020.01.390
Autor:
El-Houssaine Aghezzaf, Arno Claeys, Steven Hoedt, Jan Goos, Johannes Cottyn, Karel Bauters, Alessandro Biondi, Matthias Schamp, Lauren Van De Ginste
Publikováno v:
25th International Conference on Production Research Manufacturing Innovation : Cyber Physical Manufacturing (ICPR25), Proceedings
The concept of mass customization is becoming increasingly important for manufacturers of assembled products. As a result, manufacturers face a high variety of products, small batch sizes and frequent changeovers. To cope with these challenges, an ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::975f4cb521093580c937ad9cc2796cd7
https://doi.org/10.1016/j.promfg.2020.01.391
https://doi.org/10.1016/j.promfg.2020.01.391
Autor:
Steven Hoedt, El-Houssaine Aghezzaf, Arno Claeys, Johannes Cottyn, Lauren Van De Ginste, Georges Verpoorten, Matthias Schamp
Publikováno v:
25th International Conference on Production Research Manufacturing Innovation : Cyber Physical Manufacturing (ICPR25), Proceedings
Continuously increasing complexity and variance within high variety low volume assembly systems causes a vast amount of work instructions. As the amount of new models and variants increases, the need of efficient generation of unambiguous instruction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a9c6b00dfbe2b55364a14e5447c47f7
https://biblio.ugent.be/publication/8638010
https://biblio.ugent.be/publication/8638010
Autor:
Arno Claeys, Steven Hoedt, Matthias Schamp, El-Houssaine Aghezzaf, Lauren Van De Ginste, Johannes Cottyn
Publikováno v:
25th International Conference on Production Research Manufacturing Innovation : Cyber Physical Manufacturing (ICPR25), Proceedings
With the growing presence of industry 4.0, flexible workstations and distributed control logic, software development has become an even more important part of the automation engineering process than before. In a traditional workflow, the main commiss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54f1ea9492107110bd04979f743b8e2d
https://biblio.ugent.be/publication/8638383
https://biblio.ugent.be/publication/8638383