| 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 |
| 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 |
| Strategic guidance towards Industry 4.0 – a three-stage process model S Erol, A Schumacher, W Sihn International Conference on Competitive Manufacturing 2016 (COMA'16), At …, 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 |
| Combining BPM and social software: contradiction or chance? S Erol, M Granitzer, S Happ, S Jantunen, B Jennings, P Johannesson, ... Journal of software maintenance and evolution: research and practice 22 (6‐7 …, 2010 | 204 | 2010 |
| 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 |
| Planning and evaluation of digital assistance systems P Hold, S Erol, G Reisinger, W Sihn Procedia Manufacturing 9, 143-150, 2017 | 115 | 2017 |
| From a social wiki to a social workflow system G Neumann, S Erol International Conference on Business Process Management, 698-708, 2008 | 48 | 2008 |
| Auf dem Weg zur Industrie 4.0 – ein dreistufiges Vorgehensmodell S Erol, A Schumacher, W Sihn Industrial Engineering und Management - Beiträge des Techno-Ökonomie-Forums …, 2016 | 36 | 2016 |
| Intelligent production planning and control in the cloud–towards a scalable software architecture S Erol, W Sihn Procedia Cirp 62, 571-576, 2017 | 32 | 2017 |
| Where is the Green in Industry 4.0? or How Information Systems can play a role in creating Intelligent and Sustainable Production Systems of the Future S Erol Working Papers on Information Systems, Information Business and Operations 2 …, 2016 | 20 | 2016 |
| Together we are less alone-a concept for a regional open innovation learning lab S Erol, S Klug Procedia Manufacturing 45, 540-545, 2020 | 16 | 2020 |
| Anomaly detection in binary time series data: An unsupervised machine learning approach for condition monitoring G Princz, M Shaloo, S Erol Procedia Computer Science 232, 1065-1078, 2024 | 11 | 2024 |
| Real-time color detection for automated production lines using CNN-based machine learning M Shaloo, G Princz, S Erol International Symposium on Industrial Engineering and Automation, 167-181, 2023 | 10 | 2023 |
| A Meta-Design Approach for Collaborative Process Modeling S Erol, F Mödritscher, G Neumann 2nd International Workshop on Open Design Spaces (ODS 2010), 46--62, 2010 | 10 | 2010 |
| A global industrial perspective on lean industry 4.0: a qualitative wide-angle lens approach P Hines, GL Tortorella, J Antony, D Romero, A Walsh, D Taylor, AC Alves, ... Production Planning & Control, 1-22, 2025 | 8 | 2025 |
| Keeping Track of the Physical in Assembly Processes S Erol, P Hold 2016 IEEE 20th International Enterprise Distributed Object Computing …, 2016 | 8 | 2016 |
| Flexible automation of quality inspection in parts assembly using CNN-based machine learning M Shaloo, G Princz, R Hörbe, S Erol Procedia Computer Science 232, 2921-2932, 2024 | 7 | 2024 |
| Coloring support for process diagrams: a review of color theory and a prototypical implementation S Erol | 7 | 2014 |
| Industrie 4.0–Chancen und Risiken einer angekündigten Revolution S Erol, A Schumacher, W Sihn Industriebuch 2016 des Industriewissenschaftlichen Institutes, 53-66, 2016 | 6 | 2016 |
Wilfried SihnProfessor TU WienVerified email at fraunhofer.at
