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| | Preview | Author(s) | Title | Type | Issue Date |
| 81 | | Ansari, Fazel ; Glawar, Robert | Predictive Maintenance through Intelligent Data Management and Analysis, Smart Maintenance Sessions organized by the Fraunhofer Group for Production | Präsentation Presentation | 2018 |
| 82 | | Ansari, Fazel | Predictive Maintenance through Intelligent Data Management and Analysis, Smart Maintenance Pavillon in cooperation with the Fraunhofer Group for Production | Präsentation Presentation | 2018 |
| 83 | | Nemeth, Tanja ; Ansari, Fazel ; Sihn, Wilfried ; Haslhofer, Bernhard ; Schindler, Alexander | PriMa-X: A reference model for realizing prescriptive maintenance and assessing its maturity enhanced by machine learning | Präsentation Presentation | 2018 |
| 84 | | Lingitz, Lukas ; Gallina, Viola ; Ansari, Fazel ; Sihn, Wilfried | Lead Time Prediction using Machine Learning Algorithms: A Case Study by a Semiconductor Manufacturer | Präsentation Presentation | 2018 |
| 85 | | Ansari, Fazel | Industry 4.0 - What is it all about? | Präsentation Presentation | 2018 |
| 86 | | Karner, Matthias ; Glawar, Robert ; Sihn, Wilfried ; Matyas, Kurt | Integrating Machine Tool Condition Monitoring and Production Scheduling in Metal Forming | Präsentation Presentation | 2018 |
| 87 | | Kritzinger, Werner ; Karner, Matthias ; Traar, Georg ; Henjes, Jan ; Sihn, Wilfried | Digital Twin in manufacturing: A categorical literature review and classification | Konferenzbeitrag Inproceedings  | 2018 |
| 88 | | Kovacs, Klaudia ; Ansari, Fazel ; Geisert, Claudio ; Uhlmann, Eckart ; Glawar, Robert ; Sihn, Wilfried | A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance | Konferenzbeitrag Inproceedings | 2018 |
| 89 | | Ansari, Fazel ; Hold, Philipp ; Sihn, Wilfried | Human-Centered Cyber Physical Production System: How Does Industry 4.0 impact on Decision-Making Tasks? | Artikel Article | 2018 |
| 90 | | Ansari, Fazel ; Khobreh, Marjan ; Seidenberg, Ulrich ; Sihn, Wilfried | A problem-solving ontology for human-centered cyber physical production systems | Artikel Article | 2018 |
| 91 | | Chala, Sisay Adugna ; Ansari, Fazel ; Fathi, Madjid ; Tijdens, Kea | Semantic matching of job seeker to vacancy: a bidirectional approach | Artikel Article | 2018 |
| 92 | | Brunnthaller, Georg ; Stein, Sandra ; Schett, Georg ; Sihn, Wilfried | Development of a Multi-Step Approach for Continuous Planning and Forecasting of Required Transport Capacity for the Design of Sustainable Transport Chains | Konferenzbeitrag Inproceedings | 2018 |
| 93 | | Biegler, Christoph ; Steinwender, Arko ; Sala, Alessandro ; Sihn, Wilfried | Adoption of Factory of the Future Technologies | Konferenzbeitrag Inproceedings | 2018 |
| 94 | | Kritzinger, Werner ; Steinwender, Arko ; Lumetzberger, Sebastian ; Sihn, Wilfried | Impacts of Additive Manufacturing in Value Creation System | Präsentation Presentation | 2018 |
| 95 | | Nemeth, Tanja ; Ansari, Fazel ; Sihn, Wilfried ; Haslhofer, Bernhard ; Schindler, Alexander | PriMa-X: A reference model for realizing prescriptive maintenance and assessing its maturity enhanced by machine learning | Konferenzbeitrag Inproceedings | 2018 |
| 96 | | Kritzinger, W. ; Steinwender, A. ; Lumetzberger, S. ; Sihn, W. | Impacts of Additive Manufacturing in Value Creation System | Konferenzbeitrag Inproceedings | 2018 |
| 97 | | Lingitz, Lukas ; Gallina, Viola ; Ansari, Fazel ; Gyulai, Dávid ; Pfeiffer, András ; Sihn, Wilfried ; Monostori, Laszlo | Lead Time Prediction using Machine Learning Algorithms: A Case Study by a Semiconductor Manufacturer | Konferenzbeitrag Inproceedings | 2018 |
| 98 | | Ansari, Fazel ; Glawar, Robert | Knowledge based Maintenance | Buchbeitrag Book Contribution | 2018 |
| 99 | | Glawar, Robert ; Nemeth, Tanja | Innovative Trends und Technologien im Bereich Instandhaltungsplanung | Buchbeitrag Book Contribution | 2018 |
| 100 | | Kamhuber, Felix ; Sobottka, Thomas ; Schieder, Peter ; Ulrich, Maximilian ; Sihn, Wilfried | An Innovative Heuristic Mixed-Integer Optimization Approach for Multi-Criteria Optimization based Production Planning in the context of Production Smoothing | Konferenzbeitrag Inproceedings | 2018 |
