| 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 | 4192 | 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 | 2771 | 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 | 2397 | 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 | 1050 | 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 | 740 | 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 | 496 | 2017 |
| 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 | 412 | 2019 |
| 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 | 395 | 2016 |
| 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 | 248 | 2018 |
| 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 | 237 | 2018 |
| Capability-based task allocation in human-robot collaboration F Ranz, V Hummel, W Sihn Procedia manufacturing 9, 182-189, 2017 | 214 | 2017 |
| 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 | 206 | 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 | 194 | 2011 |
| Automation, digitization and digitalization and their implications for manufacturing processes A Schumacher, W Sihn, S Erol Innovation and Sustainability Conference Bukarest, 1-5, 2016 | 158 | 2016 |
| 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 | 146 | 2018 |
| 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 | 129 | 2018 |
| Planning and evaluation of digital assistance systems P Hold, S Erol, G Reisinger, W Sihn Procedia Manufacturing 9, 143-150, 2017 | 115 | 2017 |
| Using process mining to improve productivity in make-to-stock manufacturing R Lorenz, J Senoner, W Sihn, T Netland International Journal of Production Research 59 (16), 4869-4880, 2021 | 104 | 2021 |
| 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 | 98 | 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 | 98 | 2014 |
