Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Benjamin Heinbach"'
Autor:
Fabian Steinberg, Peter Burggräf, Johannes Wagner, Benjamin Heinbach, Till Saßmannshausen, Alexandra Brintrup
Publikováno v:
Supply Chain Analytics, Vol 1, Iss , Pp 100003- (2023)
Although Machine Learning (ML) in supply chain management (SCM) has become a popular topic, predictive uses of ML in SCM remain an understudied area. A specific area that needs further attention is the prediction of late deliveries by suppliers. Rece
Externí odkaz:
https://doaj.org/article/b9b93a9aafc34a86b42901e0597be984
Publikováno v:
IEEE Access, Vol 9, Pp 22569-22586 (2021)
Facility Layout Problems (FLP) are concerned with finding efficient factory layouts. Numerous resolution approaches are known in literature for layout optimization. Among those, intelligent approaches are less researched than solutions from exact or
Externí odkaz:
https://doaj.org/article/c060ea1818bd4943a2e65e08a87b1edd
Publikováno v:
IEEE Access, Vol 9, Pp 105926-105938 (2021)
For manufacturing companies, especially for machine and plant manufacturers, the assembly of products in time has an essential impact on meeting delivery dates. Often missing individual components lead to a delayed assembly start, hereinafter referre
Externí odkaz:
https://doaj.org/article/564a99c8a3cf4ed495d23cdd918e0197
Autor:
Peter Burggräf, Johannes Wagner, Fabian Steinberg, Benjamin Heinbach, Marius Wigger, Till Saßmannshausen
Publikováno v:
Procedia CIRP. 105:320-325
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f8c807aac6e2f5a9c7ddce896f34ec4
https://doi.org/10.1016/j.procir.2022.02.053
https://doi.org/10.1016/j.procir.2022.02.053
Publikováno v:
Procedia CIRP. 107:1095-1100
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::646c98d298c8ff3f51cf5fee55306779
https://doi.org/10.1016/j.procir.2022.05.114
https://doi.org/10.1016/j.procir.2022.05.114
Autor:
Peter Burggräf, Matthias Dannapfel, Johannes Wagner, Benjamin Heinbach, Nils Föhlisch, Jonas Dackweiler
Publikováno v:
The Monetization of Technical Data ISBN: 9783662665084
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::710f9dc82f5d23d069b04884928cdb03
https://doi.org/10.1007/978-3-662-66509-1_28
https://doi.org/10.1007/978-3-662-66509-1_28
Publikováno v:
Procedia CIRP. 98:547-552
As manufacturing companies face a globally increasing consumption of resources and the associated environmental impact, sustainable solutions are gaining in importance for manufacturing companies. In this context, the life cycle extension of capital
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b7d13be9d4bb89b84c7e54684ee4301
https://doi.org/10.1016/j.procir.2021.01.149
https://doi.org/10.1016/j.procir.2021.01.149
Autor:
Moritz Wolter, Lennart Schmallenbach, Johannes Wagner, Alejandro Perez, Jochen Garcke, Daniela Steffes-lai, Peter Burggraef, Benjamin Heinbach, Fabian Steinberg
Quality assurance (QA) is an important task in manufacturing to assess whether products meet their specifications. However, QA might be expensive, time-consuming, or incomplete. This paper presents a solution for predictive analytics in QA based on m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7be379e99d6ea69213c3aca6fbefaf88
https://doi.org/10.36227/techrxiv.14113715
https://doi.org/10.36227/techrxiv.14113715
Autor:
Benjamin Heinbach, Jonas Dackweiler, Matthias Dannapfel, Nils Föhlisch, Johannes Wagner, Peter Burggräf
Publikováno v:
Monetarisierung von technischen Daten ISBN: 9783662629147
In Anbetracht der verscharften Ressourcenknappheit und des zunehmenden Umweltbewusstseins ermoglicht eine Verlangerung des Lebenszyklus von Investitionsgutern erhebliche okologische und okonomische Potenziale zur Verbesserung der Ressourceneffizienz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e66a4dbcc2f8655693cafc1bd0670644
https://doi.org/10.1007/978-3-662-62915-4_28
https://doi.org/10.1007/978-3-662-62915-4_28