Scheuvens, M., Mozer, P., Fuchs, B., Dworschak, B., Ansari, F., & Hölzle, K. (2024). DaWiK – Ein KI-gestützter Ansatz für digitales Wissens- und Kompetenzmanagement. ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb, 119(11), 788–793. https://doi.org/10.1515/zwf-2024-1158 ( reposiTUm)

Greimel, L., Guhl, J., Toth, D., Klees, M., & Ansari Chaharsoughi, F. (2024). Instandhaltung für die Positive Impact Production. ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb, 119(9), 653–658. https://doi.org/10.1515/zwf-2024-1117 ( reposiTUm)

Ansari, F., Kohl, L., & Sihn, W. (2023). A competence-based planning methodology for optimizing human resource allocation in industrial maintenance. CIRP Annals - Manufacturing Technology, 72(1), 389–392. https://doi.org/10.1016/j.cirp.2023.04.050 ( reposiTUm)

Ansari, F., Kohl, L., Giner, J., & Meier, H. (2021). Text mining for AI enhanced failure detection and availability optimization in production systems. CIRP Annals - Manufacturing Technology, 70(1), 373–376. https://doi.org/10.1016/j.cirp.2021.04.045 ( reposiTUm)

Passath, T., Huber, C., Kohl, L., Biedermann, H., & Ansari, F. (2021). A Knowledge-Based Digital Lifecycle-Oriented Asset Optimisation. Tehnicki Glasnik, 15(2), 226–334. https://doi.org/10.31803/tg-20210504111400 ( reposiTUm)

Glawar, R., Ansari Chaharsoughi, F., Viharos, Z. J., Matyas, K., & Sihn, W. (2021). Integrating maintenance strategies in autonomous production control using a cost-based model. Acta IMEKO, 10(3), 156–166. https://doi.org/10.21014/acta_imeko.v10i3.1070 ( reposiTUm)

Kohl, L., Fuchs, B., Ansari, F., & Schlund, S. (2021). Künstliche Intelligenz im Kompetenzmanagement: Ein Fallbeispiel aus der Halbleiterindustrie. ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb, 116(7–8), 534–537. https://doi.org/10.1515/zwf-2021-0100 ( reposiTUm)

Ansari, F., Hold, P., & Khobreh, M. (2020). A knowledge-based approach for representing jobholder profile toward optimal human-machine collaboration in cyber physical production systems. CIRP Journal of Manufacturing Science and Technology, 28, 87–106. https://doi.org/10.1016/j.cirpj.2019.11.005 ( reposiTUm)

Ansari, F. (2020). Cost-based text understanding to improve maintenance knowledge intelligence in manufacturing enterprises. Computers and Industrial Engineering, 141, Article 106319. https://doi.org/10.1016/j.cie.2020.106319 ( reposiTUm)

Stockert, A., Glawar, R., Ansari, F., & Sihn, W. (2019). Qualitätsprognose anhand Prozess-parametern einer Papiermaschine mittels Industrial Data Science. ZWF - Zeitschrift für wirtschaftlichen Fabrikbetrieb, 114(5), 310–313. https://doi.org/10.3139/104.112086 ( reposiTUm)

Nemeth, T., Ansari, F., & Sihn, W. (2019). Industrielle Realisierung wissensbasierter Instandhaltungsstrategien - Ein instandhaltungsspezifisches Reifegradmodell für Produktionsunternehmen am Weg zur Smart Factory. Industrie 4.0 Management, 5, 17–20. http://hdl.handle.net/20.500.12708/143675 ( reposiTUm)

Ansari, F., Glawar, R., & Nemeth, T. (2019). PriMa: a prescriptive maintenance model for cyber-physical production systems. International Journal of Computer Integrated Manufacturing, 32(4–5), 482–503. https://doi.org/10.1080/0951192x.2019.1571236 ( reposiTUm)

Ansari, F., Hold, P., & Sihn, W. (2018). Human-Centered Cyber Physical Production System: How Does Industry 4.0 impact on Decision-Making Tasks? 2018 IEEE Technology and Engineering Management Conference (TEMSCON). https://doi.org/10.1109/temscon.2018.8488409 ( reposiTUm)

Chala, S. A., Ansari, F., Fathi, M., & Tijdens, K. (2018). Semantic matching of job seeker to vacancy: a bidirectional approach. International Journal of Manpower, 39(8), 1047–1063. https://doi.org/10.1108/ijm-10-2018-0331 ( reposiTUm)

Ansari, F., Khobreh, M., Seidenberg, U., & Sihn, W. (2018). A problem-solving ontology for human-centered cyber physical production systems. CIRP Journal of Manufacturing Science and Technology, 22, 91–106. https://doi.org/10.1016/j.cirpj.2018.06.002 ( reposiTUm)

Karbasi, A., Ansari Chaharsoughi, F., & Schlund, S. (2024). How Inclusive is Manufacturing? An Analysis of Today’s Workplace Design. In Learning Factories of the Future (CFL 2024) (pp. 266–274). Springer, Cham. https://doi.org/10.1007/978-3-031-65411-4_32 ( reposiTUm)

Madreiter, T., Beisinger, P., Archila, S., Kohl, L., & Ansari Chaharsoughi, F. (2024). Knowledge-graph based approach for automated selection of spare parts suitable for additive manufacturing: a railway use-case. In 12th International Conference on Through-life Engineering Services 2024. 12th International Conference on Through-life Engineering Services 2024 (TESConf2024), United Kingdom of Great Britain and Northern Ireland (the). ( reposiTUm)

Madreiter, T., & Ansari, F. (2024). From OEE to OSEE: How to reinforce Production and Maintenance Management Indicator Systems for Sustainability? In 6th IFAC Workshop on Advanced Maintenance Engineering, Services and Technology AMEST 2024 : Cagliari, Italy, June 12 – 14, 2024 (pp. 204–209). https://doi.org/10.1016/j.ifacol.2024.08.121 ( reposiTUm)

Perwitz, J., Sobottka, T., & Ansari, F. (2024). Cross-Factory Production and Energy Optimization. In Conference Proceedings NEFI NEW ENERGY FOR INDUSTRY 2024 (pp. 32–35). ( reposiTUm)

Breitschopf, J., Sobottka, T., Zabik, G., & Ansari Chaharsoughi, F. (2024). Enabling industrial energy efficiency and flexibility with dynamic simulation-based optimization of manufacturing operations. In 31st CIRP Conference on Life Cycle Engineering (pp. 921–926). https://doi.org/10.1016/j.procir.2024.02.031 ( reposiTUm)

Kohl, L., Eschenbacher, S., Besinger, P., & Ansari, F. (2024). Large Language Model-based Chatbot for Improving Human-Centricity in Maintenance Planning and Operations. In Proceedings of the European Conference of the PHM Society 2024 (pp. 12–12). https://doi.org/10.36001/phme.2024.v8i1.4098 ( reposiTUm)

Gaal, A., Dummer, W., Lindorfer, P., & Ansari, F. (2024). A Novel Personnel Planning Method to Improve Operations Management: Transferring lessons learned from manufacturing to healthcare. In S. Schlund & F. Ansari (Eds.), 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024 (pp. 929–934). Elsevier. https://doi.org/10.1016/j.ifacol.2024.09.162 ( reposiTUm)

Eesee, A. K., Kostolani, D., Kang, T., Schlund, S., Medvegy, T., Abonyi, J., & Ruppert, T. (2024). May I Have Your Attention?! Exploring Multitasking in Human-Robot Collaboration. In S. Schlund & F. Ansari (Eds.), 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024 (pp. 241–246). Elsevier. https://doi.org/10.1016/j.ifacol.2024.09.179 ( reposiTUm)

Safari Dehnavi, Z., Schlund, S., Abonyi, J., & Ruppert, T. (2024). Human-Centered Task Allocation: A Simulation-Based Case Study. In S. Schlund & F. Ansari (Eds.), 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024 (pp. 67–72). Elsevier. https://doi.org/10.1016/j.ifacol.2024.09.093 ( reposiTUm)

Steiner, A., Abdelkader, O., Ansari Chaharsoughi, F., & Kollegger, A. (2024). Datengetriebene Instandhaltung von Schienenfahrzeugen im öffentlichen Personennahverkehr. In Digital Excellence in der Instandhaltung (pp. 93–112). TÜV Media. http://hdl.handle.net/20.500.12708/209867 ( reposiTUm)

Kohl, L., Stricker, P., Reisinger, J., & Ansari Chaharsoughi, F. (2024). DigiTeachVR: Digitally-Enhanced Teaching Platform for Improving Data Science Skills and Virtual Reality Competences in Cross-Disciplinary Engineering Education. In Learning Factories of the Future (CFL 2024) (pp. 50–57). https://doi.org/10.1007/978-3-031-65400-8_6 ( reposiTUm)

Madreiter, T., Trajanoski, B., Martinetti, A., & Ansari, F. (2024). Sustainable Maintenance: What are the key technology drivers for ensuring Positive Impacts of Manufacturing Industries? In S. Schlund & F. Ansari (Eds.), 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024 (pp. 616–621). Elsevier. https://doi.org/10.1016/j.ifacol.2024.09.232 ( reposiTUm)

Rybalskii, I., Kruusamäe, K., Singh, A. K., & Schlund, S. (2024). An Augmented Reality Interface for Safer Human-Robot Interaction in Manufacturing. In S. Schlund & F. Ansari (Eds.), 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024 (pp. 581–585). Elsevier. https://doi.org/10.1016/j.ifacol.2024.09.275 ( reposiTUm)

Steinwender, A., Gallina, V., Litvyak, O., Lampoltshammer, T. J., Bachlechner, D., & Schlund, S. (2024). From Analogue to Digital Product Passports in the Furniture Industry. In S. Schlund & F. Ansari (Eds.), 18th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2024 (pp. 229–234). Elsevier. https://doi.org/10.1016/j.ifacol.2024.09.175 ( reposiTUm)

Steinlechner, M., Ansari, F., & Schlund, S. (2023). Evolution of Competence Management in Manufacturing Industries. In V. Ivanov, J. Trojanowska, I. Pavlenko, E. Rauch, & J. Pitel (Eds.), Advances in Design, Simulation and Manufacturing VI : Proceedings of the 6th International Conference on Design, Simulation, Manufacturing: The Innovation Exchange, DSMIE-2023, June 6–9, 2023, High Tatras, Slovak Republic - Volume 1: Manufacturing Engineering (pp. 60–70). Springer. https://doi.org/10.1007/978-3-031-32767-4_6 ( reposiTUm)

Gaal, A., Dummer, W., Sobottka, T., Ansari Chaharsoughi, F., & Schlund, S. (2023). Advancing Medical Resident Scheduling. In WGAB 2023 (pp. 115–134). GITO. https://doi.org/10.30844/wgab_2023_7 ( reposiTUm)

Nixdorf, S., Golec, M., Hegedic, M., & Ansari, F. (2023). Work-Based Learning in South-East Europe: Example of a Learning Factory Industry 4.0 in Croatia. In Proceedings of the 13th Conference on Learning Factories (CLF 2023). 13th Conference on Learning Factories (CLF 2023), Reutlingen, Germany. https://doi.org/10.2139/ssrn.4470620 ( reposiTUm)

Jovanoski, B., Nixdorf, S., Hoier, P., Kruusamäe, K., Skaljic, E., Argilovski, A., Minovski, R., Golec, M., Hegedic, M., & Ansari Chaharsoughi, F. (2023). Introducing hybrid learning to learning factories. In 19th International Scientific Conference on Industrial Systems - IoT Technologies : Conference Proceedings. 19th International Scientific Conference on Industrial Systems - IoT Technologies, Novi Sad, Serbia. University of Novi Sad. https://doi.org/10.34726/5315 ( reposiTUm)

Nixdorf, S., Madreiter, T., Hofer, S., & Ansari, F. (2022). A Work-based Learning Approach for Developing Robotics Skills of Maintenance Professionals. In Proceedings of the 12th Conference on Learning Factories (CLF 2022). 12th Conference on Learning Factories (CLF), Singapore, Singapore. https://doi.org/10.2139/ssrn.4074528 ( reposiTUm)

Nixdorf, S., Zhang, M., Ansari, F., & Grosse, E. H. (2022). Reciprocal Learning in Production and Logistics. In 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022 (pp. 854–859). International Federation of Automatic Control ; Elsevier. https://doi.org/10.1016/j.ifacol.2022.09.519 ( reposiTUm)

Reichsthaler, L., Madreiter, T., Giner, J., Glawar, R., Ansari Chaharsoughi, F., & Sihn, W. (2022). An AI-enhanced Approach for optimizing life cycle costing of military logistic vehicles. In W. Dewulf & J. Duflou (Eds.), The 29th CIRP Conference on Life Cycle Engineering, April 4 – 6, 2022, Leuven, Belgium (pp. 296–301). Elsevier. https://doi.org/10.1016/j.procir.2022.02.049 ( reposiTUm)

Nixdorf, S., Ansari, F., & Schlund, S. (2022). Reciprocal Learning in Human-Machine Collaboration: A Multi-Agent System Framework in Industry 5.0. In P. Plapper (Ed.), Digitization of the work environment for sustainable production (pp. 207–225). GITO-Verlag. https://doi.org/10.30844/WGAB_2022_11 ( reposiTUm)

Biegel, T., Jourdan, N., Madreiter, T., Kohl, L., Fahle, S., Ansari, F., Kuhlenkötter, B., & Metternich, J. (2022). Combining Process Monitoring with Text Mining for Anomaly Detection in Discrete Manufacturing. In Proceedings of the 12th Conference on Learning Factories (CLF 2022). 12th Conference on Learning Factories (CLF 2022), Singapore, Malaysia. https://doi.org/10.2139/ssrn.4073942 ( reposiTUm)

Glawar, R., Ansari Chaharsoughi, F., Reichsthaler, L. S., Sihn, W., & Toth, D. (2022). Maintenance-Free Factory: A Holistic Approach for Enabling Sustainable Production Management. In A. Bernard, A. Dolgui, H. H. Benderbal, D. Ivanov, D. Lemoine, & F. Sgarbossa (Eds.), IFAC PapersOnLIne (pp. 2318–2323). https://doi.org/10.34726/3263 ( reposiTUm)

Glawar, R., Ansari, F., & Matyas, K. (2021). Evaluation of Economic Plausibility of Integrating Maintenance Strategies in Autonomous Production Control: A Case Study in Automotive Industry. In IFAC-PapersOnLine (pp. 43–48). https://doi.org/10.1016/j.ifacol.2021.08.075 ( reposiTUm)

Kovacs, K., Ansari, F., & Sihn, W. (2021). A modified Weibull model for service life prediction and spare parts forecast in heat treatment industry. In Procedia Manufacturing (pp. 172–177). https://doi.org/10.1016/j.promfg.2021.07.026 ( reposiTUm)

Madreiter, T., Kohl, L., & Ansari, F. (2021). A Text Understandability Approach for Improving Reliability-Centered Maintenance in Manufacturing Enterprises. In A. Dolgui & A. Bernard (Eds.), Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems (pp. 161–170). https://doi.org/10.1007/978-3-030-85874-2_17 ( reposiTUm)

Tuli, T. B., Kohl, L., Chala, S. A., Manns, M., & Ansari, F. (2021). Knowledge-Based Digital Twin for Predicting Interactions in Human-Robot Collaboration. In 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ). 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), Vasteras, Sweden. IEEE. https://doi.org/10.1109/etfa45728.2021.9613342 ( reposiTUm)

Nixdorf, S., Ansari, F., & Sihn, W. (2021). Work-Based Learning in Smart Manufacturing: Current State and Future Perspectives. In Proceedings of the Conference on Learning Factories (CLF) 2021. 11th Conference on Learning Factories (CLF 2021), Graz, Austria. https://doi.org/10.2139/ssrn.3858379 ( reposiTUm)

Ansari, F., Nixdorf, S., & Sihn, W. (2020). Insurability of Cyber Physical Production Systems: How Does Digital Twin Improve Predictability of Failure Risk? In A. Parlikad (Ed.), IFAC-PapersOnLine (pp. 295–300). https://doi.org/10.1016/j.ifacol.2020.11.063 ( reposiTUm)

Schenkelberg, K., Seidenberg, U., & Ansari, F. (2020). A Simulation-based Process Model for Analyzing Impact of Maintenance on Profitability. In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Wien, Austria. IEEE. https://doi.org/10.1109/etfa46521.2020.9211915 ( reposiTUm)

Shilov, N., Sminrov, A., & Ansari, F. (2020). Ontologies in Smart Manufacturing: Approaches and Research Framework. In S. Balandin (Ed.), Proceedings of the 26th Conference of Open Innovations Association FRUCT (pp. 408–414). http://hdl.handle.net/20.500.12708/68207 ( reposiTUm)

Ansari, F., Glawar, R., & Sihn, W. (2020). Prescriptive Maintenance of CPPS by Integrating Multimodal Data with Dynamic Bayesian Networks. In J. Beyerer, A. Maier, & O. Niggemann (Eds.), Machine Learning for Cyber Physical Systems (pp. 1–8). Springer Vieweg. https://doi.org/10.1007/978-3-662-59084-3 ( reposiTUm)

Riester, M., Ansari, F., Foerster, M., & Matyas, K. (2020). A Procedural Model for Utilizing Case-Based Reasoning in After-Sales Management. In Proceedings on 18th International Conference on Industrial Systems – IS’20 (pp. 294–301). https://doi.org/10.1007/978-3-030-97947-8_39 ( reposiTUm)

Glawar, R., Ansari, F., Kardos, C., Matyas, K., & Sihn, W. (2019). Conceptual Design of an Integrated Autonomous Production Control Model in association with a Prescriptive Maintenance Model (PriMa). In Proceedings of the 26th CIRP Conference on Life Cycle Engineering (LCE) (pp. 482–487). Elsevier BV. https://doi.org/10.1016/j.procir.2019.01.047 ( reposiTUm)

Kovacs, K., Ansari, F., Glawar, R., & Sihn, W. (2019). A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance. In J. Beyerer & C. Kühnert (Eds.), Machine Learning for Cyber Physical Systems (pp. 87–96). Springer Vieweg. https://doi.org/10.1007/978-3-662-58485-9_10 ( reposiTUm)

Sihn, W., & Ansari, F. (2019). Industrial Data Science - From Raw Data to Useful Applications. In K. Schützer (Ed.), Digitization of Production and Digitized Production (pp. 3–32). http://hdl.handle.net/20.500.12708/68047 ( reposiTUm)

Nemeth, T., Ansari, F., & Sihn, W. (2019). A Maturity Assessment Procedure Model for realizing Knowledge- Based Maintenance Strategies in Smart Manufacturing Enterprises. In 25th International Conference on Production Research Manufacturing Innovation: Cyber Physical Manufacturing (Vol. 39, pp. 645–654). https://doi.org/10.1016/j.promfg.2020.01.439 ( reposiTUm)

Khobreh, M., Ansari, F., & Seidenberg, U. (2019). Applying Job-Know Ontology towards Linking Workforce Experience and Labor Productivity in Smart Factory Industry 4.0. In E. Tome & F. Kragulj (Eds.), TAKE 2019 (pp. 712–728). http://hdl.handle.net/20.500.12708/68069 ( reposiTUm)

Mayrhofer, W., Ansari, F., Sihn, W., & Schlund, S. (2019). Konzept für ein Assistenzsystem für arbeitsplatznahes,reziprokes Lernen in hochautomatisierten Produktionsumgebungen. In Arbeit interdisziplinär analysieren - bewerten - gestalten (pp. 1–7). GfA-Press. http://hdl.handle.net/20.500.12708/68095 ( reposiTUm)

Ansari, F., Erol, S., & Sihn, W. (2018). Rethinking Human-Machine Lear ning in Industry 4.0: How Does the Paradigm Shift Treat the Role of Human Learning? In “Advanced Engineering Education & Training for Manufacturing Innovation” - 8th CIRP Sponsored Conference on Learning Factories (CLF 2018) (pp. 117–122). Elsevier BV. https://doi.org/10.1016/j.promfg.2018.04.003 ( reposiTUm)

Nemeth, T., Ansari, F., Sihn, W., Haslhofer, B., & Schindler, A. (2018). PriMa-X: A reference model for realizing prescriptive maintenance and assessing its maturity enhanced by machine learning. In L. Wang (Ed.), 51st CIRP Conference on Manufacturing Systems (pp. 1039–1044). Elsevier BV. https://doi.org/10.1016/j.procir.2018.03.280 ( reposiTUm)

Kovacs, K., Ansari, F., Geisert, C., Uhlmann, E., Glawar, R., & Sihn, W. (2018). A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance. In J. Beyerer, C. Kühnert, & O. Niggemann (Eds.), Machine Learning for Cyber Physical Systems (pp. 87–96). Springer. https://doi.org/10.1007/978-3-662-58485-9_10 ( reposiTUm)

Ansari, F., Hold, P., Mayrhofer, W., Schlund, S., & Sihn, W. (2018). AUTODIDACT: Introducing the Concept of Mutual Learning into a Smart Factory Industry 4.0. In CELDA 2018 (p. 8). http://hdl.handle.net/20.500.12708/67871 ( reposiTUm)

Lingitz, L., Gallina, V., Ansari, F., Gyulai, D., Pfeiffer, A., Sihn, W., & Monostori, L. (2018). Lead Time Prediction using Machine Learning Algorithms: A Case Study by a Semiconductor Manufacturer. In L. Wang (Ed.), 51st CIRP Conference on Manufacturing Systems (pp. 1051–1056). Elsevier BV. https://doi.org/10.1016/j.procir.2018.03.148 ( reposiTUm)

Besinger, P., Zaremba, J., Fuchs, B., & Ansari Chaharsoughi, F. (2025). Responsible AI: Wegweiser für produzierende Unternehmen zu einer nachhaltigen Arbeitswelt? In SDG 8: Menschenwürdige Arbeit und Wirtschaftswachstum. Globale Ziele für nachhaltige Entwicklung (pp. 1–16). Springer Gabler. https://doi.org/10.1007/978-3-662-68327-9_59-1 ( reposiTUm)

Ansari, F. (2024). Wissensmanagement in der Industrie 4.0. In Handbuch Unternehmensorganisation : Strategien, Planung, Umsetzung (pp. 1–15). Springer Vieweg. https://doi.org/10.1007/978-3-642-45370-0_97-1 ( reposiTUm)

Kohl, L., Madreiter, T., & Ansari Chaharsoughi, F. (2024). AI-Enhanced Fault Detection Using Multi-Structured Data in Semiconductor Manufacturing. In N. Gaw, P. M. Pardalos, & M. R. Gahrooei (Eds.), Multimodal and Tensor Data Analytics for Industrial Systems Improvement (Vol. 211, pp. 297–312). Springer, Cham. https://doi.org/10.1007/978-3-031-53092-0_14 ( reposiTUm)

Steiner, A., Abdelkader, O., Ansari Chaharsoughi, F., & Kollegger, A. (2024). Datengetriebene Instandhaltung von Schienenfahrzeugen im öffentlichen Personennahverkehr - Wissensbasierter Ansatz zur Auswahl und Analyse operativer Sensordaten. In H. Biedermann (Ed.), Digital Excellence in der Instandhaltung (pp. 93–112). TÜV Media. ( reposiTUm)

Toth, D., Oblak, D., Hailing, M., & Ansari Chaharsoughi, F. (2024). Implementierung von Smart Maintenance zur Digitalisierung und Optimierung von Betriebs- und Serviceprozessen in Energiesystemen unterstützt durch Datenanalytik und Smart Retrofit – ein Praxisbeispiel bei der KWB Energiesysteme GmbH. In H. Biedermann (Ed.), Digital Excellence in der Instandhaltung (p. 213). TÜV Media. http://hdl.handle.net/20.500.12708/206485 ( reposiTUm)

Ansari, F., & Kohl, L. (2022). AI-Enhanced Maintenance for Building Resilience and Viability in Supply Chains. In A. Dolgui, D. Ivanov, & B. Sokolov (Eds.), Supply Network Dynamics and Control (Vol. 20, pp. 163–185). https://doi.org/10.1007/978-3-031-09179-7_8 ( reposiTUm)

Kohl, L., Ansari, F., & Sihn, W. (2021). A Modular Federated Learning Architecture for Integration of AI-enhanced Assistance in Industrial Maintenance. In W. Sihn & S. Schlund (Eds.), Competence development and learning assistance systems for the data-driven future (pp. 229–242). GITO. https://doi.org/10.30844/wgab_2021_14 ( reposiTUm)

Schlund, S., & Ansari, F. (2021). Fit for Future Work - Dynamisierung des Kompetenz-Profiling mithilfe KI-gestützter Datenanalyse betrieblicher Prozesse. In W. Güttel (Ed.), Austrian Management Review - Volume 11 (Vol. 11, pp. 96–102). Nomos Verlagsgesellschaft. https://doi.org/10.5771/9783957104014-96 ( reposiTUm)

Khobreh, M., Ansari, F., & Seidenberg, U. (2020). A Knowledge-Based Approach for Linking Workforce Experience and Labor Productivity in Smart Factory Industry 4.0, Building Future Competences - Challenges and Opportunities for Skilled Crafts and Trades in the Knowledge Economy. In BUILDING FUTURE COMPETENCES - Challenges and Opportunities for Skilled Crafts and Trades in the Knowledge Economy (p. 20). IAGF. http://hdl.handle.net/20.500.12708/30511 ( reposiTUm)

Ansari, F., & Mayrhofer, W. (2020). Reciprocal Learning Assistance Systems in Smart Manufacturing: Transformation from Unidirectional to Bidirectional Learning Technology in Manufacturing Enterprises. In P. Isaias (Ed.), Cognition and Exploratory Learning in the Digital Age (pp. 185–201). Springer. https://doi.org/10.1007/978-3-030-48190-2_10 ( reposiTUm)

Mayrhofer, W., Ansari, F., Sihn, W., & Schlund, S. (2019). Konzept für ein Assistenzsystem für arbeitsplatznahes, reziprokes Lernen in hochautomatisierten Produktionsumgebungen. In Arbeit interdisziplinär analysieren - bewerten - gestalten. GfA-Press. http://hdl.handle.net/20.500.12708/30131 ( reposiTUm)

Ansari, F., & Glawar, R. (2018). Knowledge based Maintenance. In K. Matyas (Ed.), Instandhaltungslogistik: Qualität und Produktivität steigern (Praxisreihe Qualität) (pp. 318–342). Carl Hanser Verlag. http://hdl.handle.net/20.500.12708/29955 ( reposiTUm)

Ansari, F., & Schenkelberg, K. (2017). Problem Solving in the Digital World: Synoptic Formalism, Incrementalism and Heuristics. In P. A. Laplante (Ed.), Encyclopedia of Computer Science and Technology. Taylor & Francis. http://hdl.handle.net/20.500.12708/29501 ( reposiTUm)

Seidenberg, U., & Ansari, F. (2017). Qualitätsmanagement in der additiven Fertigung - Herausforderungen und Handlungsempfehlungen. In A. Leupold & S. Glossner (Eds.), 3D Printing: Recht, Wirtschaft und Technik des industriellen 3D-Drucks (pp. 159–213). C.H. Beck. http://hdl.handle.net/20.500.12708/29555 ( reposiTUm)

Ansari Chaharsoughi, F. (2024, January 9). Data-driven Maintenance for Sustainable Production Management [Presentation]. Expert Talk mit Fazel Ansari und Info Session Executive MBA Automotive Management, Austria. ( reposiTUm)

Ansari, F. (2024). Technical Language Processing in Semiconductor Manufacturing: Opportunities and Challenges [Presentation]. Technical Language Processing Community of Interest 2024 Meeting, Unknown. http://hdl.handle.net/20.500.12708/207994 ( reposiTUm)

Kamhuber, F., Sobottka, T., Paul Lindorfer, & Ansari Chaharsoughi, F. (2023, July 13). Metaheuristic comparison of a simulation- based multi-criteria optimization method for rolling production smoothing [Conference Presentation]. 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering 2023, Ischia, Italy. ( reposiTUm)

Ansari Chaharsoughi, F., & Kohl, L. (2023, October 12). Chatbots in der Instandhaltungsplanung: Industrielle Anwendungsfälle und zukünftige Perspektiven [Conference Presentation]. 37. ÖVIA Kongress, Leoben, Austria. http://hdl.handle.net/20.500.12708/189934 ( reposiTUm)

Besinger, P., Vejnoska, D., & Ansari Chaharsoughi, F. (2023, November 23). Responsible AI (RAI) in Manufacturing: A Qualitative Framework [Conference Presentation]. 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), Lisbon, Portugal. ( reposiTUm)

Kohl, L., & Ansari Chaharsoughi, F. (2023, July 14). A Knowledge Graph-based Learning Assistance Systems for Industrial Maintenance [Conference Presentation]. 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering 2023, Italy. ( reposiTUm)

Ansari Chaharsoughi, F. (2023, October 10). Positive Impact Production [Conference Presentation]. Future of Advanced Manufacturing 2023, Netherlands (the). ( reposiTUm)

Breitschopf, J., Sobottka, T., Zabik, G., & Ansari Chaharsoughi, F. (2023, October 25). Simulation-based Optimization of Flexible Energy Systems in Manufacturing with Local Energy Production and Storage Components [Conference Presentation]. 56th CIRP Conference on Manufacturing Systems 2023, Cape Town, South Africa. http://hdl.handle.net/20.500.12708/191534 ( reposiTUm)

Nowak, M. A., Martineau, S. C. Y., Sobottka, T., Ansari Chaharsoughi, F., & Schlund, S. (2023, November 23). An indicator scheme for improving measurability of Sustainable Development Goals in manufacturing enterprises [Conference Presentation]. 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), Lisbon, Portugal. http://hdl.handle.net/20.500.12708/191581 ( reposiTUm)

Ansari Chaharsoughi, F. (2022, September 7). Knowledge-Based Maintenance as an Enabler and Driver of Sustainable Production Management [Keynote Presentation]. Intelligent Maintenance Conference 202, Lausanne, Switzerland, Switzerland. ( reposiTUm)

Ansari Chaharsoughi, F., & Schlund, S. (2022, August 26). Towards Adaptive and Personalized Work Systems [Keynote Presentation]. CIRP STC-A Meeting, CIRP General Assembly, Bilbao, Spain. ( reposiTUm)

Ansari Chaharsoughi, F. (2022, February 16). Towards Reciprocal Learning in Collaborative Work Systems [Keynote Presentation]. CIRP Winter Meetings, Collaborative Working-Group on AI, Paris, France. ( reposiTUm)

Ansari Chaharsoughi, F. (2022, July 26). Reciprocal Learning in Collaborative Work Systems [Keynote Presentation]. 5th European Conference on Industrial Engineering and Operations Management, Rome, Italy. ( reposiTUm)

Ansari, F. (2021). Knowledge-Based Maintenance: TU Wien’s Experiences and Foresights. EIT Manufacturing Hub Croatia, Online, Unknown. http://hdl.handle.net/20.500.12708/95515 ( reposiTUm)

Ansari, F., & Sihn, W. (2021). Knowledge-Based Maintenance for Sustainable Production Management. 70th CIRP General Assembly, München, Germany. http://hdl.handle.net/20.500.12708/95516 ( reposiTUm)

Ansari, F. (2020). Human-Machine Learning in Manufacturing Sector: What is H-M Reciprocal Learning, Skillnet - The Worldwide Network for skills in Advance Manufacturing. Online Event - Skillman International Forum (SIF) 2020, Italy, online, Italy. http://hdl.handle.net/20.500.12708/95455 ( reposiTUm)

Ansari, F. (2020). Text-Mining in Industrial Maintenance, Predictive Maintenance Workshop, Association Industry 4.0 Austria - the Platform for Smart Production. 16. ExpertInnnengruppensitzung F&E - Predictive Maintenance und Künstliche Intelligenz, Wien, Austria. http://hdl.handle.net/20.500.12708/95456 ( reposiTUm)

Glawar, R., Ansari, F., Viharos, Z. J., Matyas, K., & Sihn, W. (2020). A cost-based model for integrating maintenance strategies in autonomous production control. 17th IMEKO TC 10 and EUROLAB Virtual Conference “Global Trends in Testing, Diagnostics & Inspection for 2030,” Kroatien, online, Croatia. http://hdl.handle.net/20.500.12708/95426 ( reposiTUm)

Ansari, F. (2019). Knowledge Management 4.0: Theoretical and Practical Considerations in Cyber Physical Production Systems. 9th IFAC Conference on Manufacturing Modelling, Management and Control, Berlin, Germany. http://hdl.handle.net/20.500.12708/95223 ( reposiTUm)

Ansari, F. (2019). Learning Factories for SMEs. European Bank for Reconstruction and Development (EBRD), Skopje, Republic of North Macedonia. http://hdl.handle.net/20.500.12708/95222 ( reposiTUm)

Ansari, F., & Schlund, S. (2019). Beyond InComSMEs: Learning Factory in Macedonia. Final Conference of the EU-funded InComSMEs Project, Skopje, Republic of North Macedonia. http://hdl.handle.net/20.500.12708/95221 ( reposiTUm)

Ansari, F. (2019). Future of AI based maintenance planning and operations: Can a machine maintain its health score?,. Conference on Industry 4.0 & Artificial Intelligence, Bali, Indonesia. http://hdl.handle.net/20.500.12708/95224 ( reposiTUm)

Ansari, F. (2019). Knowledge-Based Maintenance: Today & Tomorrow. Infineon Winter School Chip Fab of the Future, Villach, Austria. http://hdl.handle.net/20.500.12708/95225 ( reposiTUm)

Ansari, F. (2019). Dynamic Maintenance-based Insurance Model for Industrial Machines. CIRP Winter Meetings, Paris, France. http://hdl.handle.net/20.500.12708/95226 ( reposiTUm)

Ansari, F. (2019). Reciprocal Learning in Smart Factories. CIRP Winter Meetings, Paris, France. http://hdl.handle.net/20.500.12708/95227 ( reposiTUm)

Nemeth, T., Ansari, F., & Sihn, W. (2019). A Maturity Assessment Procedure Model for realizing Knowledge- Based Maintenance Strategies in Smart Manufacturing Enterprises. 25th International Conference on Production Research Manufacturing Innovation: Cyber Physical Manufacturing, Chicago, Illinois, United States of America (the). http://hdl.handle.net/20.500.12708/95230 ( reposiTUm)

Lingitz, L., Gallina, V., Ansari, F., & Sihn, W. (2018). Lead Time Prediction using Machine Learning Algorithms: A Case Study by a Semiconductor Manufacturer. 51st CIRP Conference on Manufacturing Systems, Stockholm, Sweden. http://hdl.handle.net/20.500.12708/94953 ( reposiTUm)

Ansari, F. (2018). Industry 4.0 - What is it all about? EAPRIL Conference 2018, Portoroz, Slovenia. http://hdl.handle.net/20.500.12708/94952 ( reposiTUm)

Ansari, F., & Sihn, W. (2018). A Problem-Solving Ontology for Human-Centered CPPS: Human-CPPS Collaboration as an Enabler of Changeability. CIRP Winter Meeting, Paris, France. http://hdl.handle.net/20.500.12708/94881 ( reposiTUm)

Ansari, F. (2018). Predictive Maintenance through Intelligent Data Management and Analysis, Smart Maintenance Pavillon in cooperation with the Fraunhofer Group for Production. AUTOMATICA 2018, München, Germany. http://hdl.handle.net/20.500.12708/94883 ( reposiTUm)

Ansari, F. (2018). The Evolution of Knowledge-Based Maintenance: From Descriptive to Prescriptive Maintenance, iT2Industry Forum. AUTOMATICA 2018, München, Germany. http://hdl.handle.net/20.500.12708/94882 ( reposiTUm)

Nemeth, T., Ansari, F., Sihn, W., Haslhofer, B., & Schindler, A. (2018). PriMa-X: A reference model for realizing prescriptive maintenance and assessing its maturity enhanced by machine learning. 51st CIRP Conference on Manufacturing Systems, Stockholm, Sweden. http://hdl.handle.net/20.500.12708/94895 ( reposiTUm)

Ansari, F., & Glawar, R. (2018). Predictive Maintenance through Intelligent Data Management and Analysis, Smart Maintenance Sessions organized by the Fraunhofer Group for Production. Hannover Messe 2018, Hannover, Germany. http://hdl.handle.net/20.500.12708/94884 ( reposiTUm)

Ansari, F. (2017). The Connection Between Education and Technology in Co-Creation with High Tech Enterprises. EAPRIL Conference 2017, Hämeenlinna, Finland. http://hdl.handle.net/20.500.12708/94886 ( reposiTUm)

Ansari, F. (2017). Promoting Learning Analytics for Practitioners. EAPRIL Conference 2017, Hämeenlinna, Finland. http://hdl.handle.net/20.500.12708/94885 ( reposiTUm)

Ansari, F., & Glawar, R. (2017). From Predictive to Prescriptive Maintenance Paradigm Shift in the Age of Industrie 4.0. ML4CPS 2017 - Machine Learning for Cyber Physical Systems and Industry 4.0, Lemgo, Germany. http://hdl.handle.net/20.500.12708/94796 ( reposiTUm)

Hayek, M., Walk, T., Stein, S., Ecker, C., Bachlehner, D., Riester, M., Ansari, F., & Schlund, S. (2024). Positionspapier Shared Logistics : Zukunftsfeste Daseinsvorsorge in Logistik, Transport und Mobilität durch geteilte Daten- und Ressourcennutzung (Fraunhofer Austria Research GmbH, Ed.). https://doi.org/10.13140/RG.2.2.20088.05120 ( reposiTUm)

Sobottka, T., Ansari, F., Lingitz, L., Hold, P., Nowak, M., & Rudorf, P. (2024). Positionspapier Positive Impact Production : Nachhaltiger Wohlstand durch positive ökologische und gesellschaftliche Wirkung des Produktionssystems (Fraunhofer Austria Research GmbH, Ed.). https://doi.org/10.13140/RG.2.2.30643.81443 ( reposiTUm)

Nixdorf, S., Ansari Chaharsoughi, F., Schlund, S., Wolf, M., Hulla, M., Papa, M., Bardy, S., Kress, A., & Rosemeyer, J. (2022). Work-Based Learning in Manufacturing Industry. A Sector-Based Meta-Analysis. TU Wien. https://doi.org/10.48436/ed096-ac543 ( reposiTUm)

Rauch, E., & Ansari, F. (2021). AI as an Enabler for Long Term Resilience in Manufacturing (October). http://hdl.handle.net/20.500.12708/40342 ( reposiTUm)

Ansari, F. (2018). Cyber-Physical Systems. http://hdl.handle.net/20.500.12708/39445 ( reposiTUm)

Ansari Chaharsoughi, F. (2020). Management of knowledge intelligence in human-centered cyber physical production systems [Professorial Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.16234717 ( reposiTUm)