Wilfried Sihn
Wilfried Sihn
Professor TU Wien
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Digital Twin in manufacturing: A categorical literature review and classification
W Kritzinger, M Karner, G Traar, J Henjes, W Sihn
Ifac-PapersOnline 51 (11), 1016-1022, 2018
A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises
A Schumacher, S Erol, W Sihn
Procedia Cirp 52, 161-166, 2016
Cyber-physical systems in manufacturing
L Monostori, B Kádár, T Bauernhansl, S Kondoh, S Kumara, G Reinhart, ...
Cirp Annals 65 (2), 621-641, 2016
Tangible Industry 4.0: a scenario-based approach to learning for the future of production
S Erol, A Jäger, P Hold, K Ott, W Sihn
Procedia CiRp 54, 13-18, 2016
Learning factories for research, education, and training
E Abele, J Metternich, M Tisch, G Chryssolouris, W Sihn, H ElMaraghy, ...
Procedia CiRp 32, 1-6, 2015
Learning factories for future oriented research and education in manufacturing
E Abele, G Chryssolouris, W Sihn, J Metternich, H ElMaraghy, G Seliger, ...
CIRP annals 66 (2), 803-826, 2017
Strategic guidance towards Industry 4.0–a three-stage process model
S Erol, A Schumacher, W Sihn
International conference on competitive manufacturing 9 (1), 495-501, 2016
Roadmapping towards industrial digitalization based on an Industry 4.0 maturity model for manufacturing enterprises
A Schumacher, T Nemeth, W Sihn
Procedia Cirp 79, 409-414, 2019
Rethinking human-machine learning in industry 4.0: how does the paradigm shift treat the role of human learning?
F Ansari, S Erol, W Sihn
Procedia manufacturing 23, 117-122, 2018
Structural concepts for horizontal cooperation to increase efficiency in logistics
R Leitner, F Meizer, M Prochazka, W Sihn
CIRP Journal of Manufacturing Science and Technology 4 (3), 332-337, 2011
Methodical approach to increase productivity and reduce lead time in assembly and production-logistic processes
P Kuhlang, T Edtmayr, W Sihn
CIRP Journal of Manufacturing Science and Technology 4 (1), 24-32, 2011
Lead time prediction using machine learning algorithms: A case study by a semiconductor manufacturer
L Lingitz, V Gallina, F Ansari, D Gyulai, A Pfeiffer, W Sihn, L Monostori
Procedia Cirp 72, 1051-1056, 2018
Capability-based task allocation in human-robot collaboration
F Ranz, V Hummel, W Sihn
Procedia Manufacturing 9, 182-189, 2017
A problem-solving ontology for human-centered cyber physical production systems
F Ansari, M Khobreh, U Seidenberg, W Sihn
CIRP Journal of Manufacturing Science and Technology 22, 91-106, 2018
Automation, digitization and digitalization and their implications for manufacturing processes
A Schumacher, W Sihn, S Erol
Innovation and Sustainability Conference Bukarest, 1-5, 2016
Planning and evaluation of digital assistance systems
P Hold, S Erol, G Reisinger, W Sihn
Procedia Manufacturing 9, 143-150, 2017
Lead time prediction in a flow-shop environment with analytical and machine learning approaches
D Gyulai, A Pfeiffer, G Nick, V Gallina, W Sihn, L Monostori
IFAC-PapersOnLine 51 (11), 1029-1034, 2018
Development of an assessment framework for operations excellence (OsE), based on the paradigm change in operational excellence (OE)
A Jäger, K Matyas, W Sihn
Procedia CIRP 17, 487-492, 2014
An approach to integrate parameters and indicators of sustainability management into value stream mapping
T Edtmayr, A Sunk, W Sihn
Procedia Cirp 41, 289-294, 2016
PriMa-X: A reference model for realizing prescriptive maintenance and assessing its maturity enhanced by machine learning
T Nemeth, F Ansari, W Sihn, B Haslhofer, A Schindler
Procedia CIRP 72, 1039-1044, 2018
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