Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Eike Broda"'
Autor:
Jan-Frederik Uhlenkamp, Jannicke Baalsrud Hauge, Eike Broda, Michael Lutjen, Michael Freitag, Klaus-Dieter Thoben
Publikováno v:
IEEE Access, Vol 10, Pp 69605-69635 (2022)
Digital Twins represent a powerful tool for transforming production and logistics towards Industry 4.0. They mirror physical assets in the digital world, enriching them with additional capabilities and features such as decision-making or lifecycle ma
Externí odkaz:
https://doaj.org/article/a6e281ab1c294d02ae46256b43fcbf82
Publikováno v:
Machines, Vol 6, Iss 4, p 53 (2018)
In many current supply chains, transport processes are not yet being monitored concerning how they influence product quality. Sensor technologies combined with telematics and digital services allow for collecting environmental data to supervise these
Externí odkaz:
https://doaj.org/article/bf406378c447425292279d248e08f21c
Autor:
Márcio J. da Silva, Lynceo F. Braghirolli, Eike Broda, Hendrik Engbers, Enzo M. Frazzon, Carlos E. Pereira
Publikováno v:
IFAC-PapersOnLine. 55:181-186
Autor:
Eike Broda, Michael Freitag
Publikováno v:
IFAC-PapersOnLine. 55:430-435
Publikováno v:
wt Werkstattstechnik online. 111:147-151
Das BMBF-Forschungsprojekt „Broker für dynamische Produktionsnetzwerke (DPNB)“ widmet sich dem Anwendungsszenario „auftragsgesteuerte Produktion“ im Kontext von Industrie 4.0. Für die Angebotsplanung ist ein zentraler Aspekt die Bildung ein
Publikováno v:
Annual Reviews in Control. 49:288-294
The performance of manufacturing networks relies on interactions. Digitalization supports an evidence-based understanding of partners’ idiosyncrasies and behaviours, so that proper decision-making takes place. Indeed, context uncertainty and flexib
Autor:
Axel Börold, Eike Broda, Nicolas Jathe, Dirk Schweers, Tobias Sprodowski, Waldemar Zeitler, Michael Freitag
Publikováno v:
Dynamics in Logistics ISBN: 9783031053580
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5fd0fabe9cff82aa5da659371adfc67
https://doi.org/10.1007/978-3-031-05359-7_37
https://doi.org/10.1007/978-3-031-05359-7_37
Publikováno v:
Dynamics in Logistics ISBN: 9783031053580
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::866a975766ce08248d0b5d497bb072d1
https://doi.org/10.1007/978-3-031-05359-7_23
https://doi.org/10.1007/978-3-031-05359-7_23
Publikováno v:
International Series in Operations Research & Management Science ISBN: 9783030431761
Simulation models are one of the most used quantitative approaches for modeling and decision-making in production and logistic systems. In the Industry 4.0 context, new paradigms arise from the possibility of collecting and storing large amounts of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::794aa3be6d1678b4078697bcdf7e2e0d
https://doi.org/10.1007/978-3-030-43177-8_3
https://doi.org/10.1007/978-3-030-43177-8_3
Publikováno v:
Dynamics in Logistics ISBN: 9783030447823
Production scheduling is an important tool for a manufacturing system, where it can have a significant impact on the productivity of a production process. In this sense, the application of machine learning can be very fruitful in this field, since it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa7de9e06bf3a99dfc9f0cfaab8e7c27
https://doi.org/10.1007/978-3-030-44783-0_39
https://doi.org/10.1007/978-3-030-44783-0_39