In Druck/Vorabdruck

• T. Passath, C. Huber, L. Kohl, H. Biedermann & F. Ansari, A Knowledge-Based Digital Lifecycle-Oriented Asset Optimisation, TECHNICAL JOURNAL 15 (2), 2021, pp. 226-234 (Accepted, Pre-Print available)
• S. Nixdorf, F. Ansari, W. Sihn, Work-Based Learning in Smart Manufacturing: Current State and Future Perspectives, Conference on Learning Factories (CLF) 2021, Graz, Austria (Accepted, Pre-Print available)
• R. Glawar, F. Ansari, Z. J. Viharos, K. Matyas & W. Sihn, Integrating Maintenance Strategies in Autonomous Production Control using a Cost-based Model, Acta IMEKO - The e-Journal of the International Measurement Confederation (IMEKO), 2021(In Press)
• M. Riester, F. Ansari, M. Foerster & K. Matyas, A Procedural Model for Utilizing Case-Based Reasoning in After-Sales Management, 18th International Scientific Conference on Industrial Systems – Industrial Innovation in Digital Age, October 7 - 9, 2020, Novi Sad, Serbia (In Press)

Journals (Peer reviewed)

• F. Ansari, L. Kohl, J. Giner, H. Meier, Text mining for AI enhanced failure detection and availability optimization in production systems, CIRP Annals - Manufacturing Technology, 2021 (In Press, Online since June 8 2021). | Q1 in Industrial & Manufacturing Engineering / Mechanical Engineering
• F. Ansari, P. Hold & M. Khobreh, 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, Elsevier, Vol. 28, 2020, pp. 87-106. | Q1 in Industrial & Manufacturing Engineering
• F. Ansari, Cost-Based Text Understanding to Improve Maintenance Knowledge Intelligence in Manufacturing Enterprises, Computers and Industrial Engineering, Elsevier, Vol. 141, 2020. | Q1 in Computer Science & Engineering
• F. Ansari, R. Glawar & T. Nemeth, PriMa: A Prescriptive Maintenance Model for Cyber-Physical Production Systems, International Journal of Computer Integrated Manufacturing, Vol. 32, Issue 4-5: Smart Cyber-Physical System Applications in Production and Logistics, Taylor & Francis, 2019, pp. 482-503.| Q1 in Mechanical Engineering
• S. Chala, F. Ansari, M. Fathi & K. Tijdens, Semantic Matching of Job Seeker to Vacancy: A Bidirectional Approach, International Journal of Manpower, Emerald Group Publishing Limited, Vol. 39 Issue: 8, 2018, pp.1047-1063. | Q2 in Management of Technology and Innovation
• F. Ansari, M. Khobreh, U. Seidenberg & W. Sihn, A Problem-Solving Ontology for Human-Centered Cyber Physical Production Systems, CIRP Journal of Manufacturing Science and Technology, Elsevier, Vol. 22C, 2018, pp. 91-106. | Q1 in Industrial and Manufacturing Engineering

Ausgewählte Buchkapitel

• F. Ansari & W. Mayrhofer, Reciprocal Learning Assistance Systems in Smart Manufacturing: Transformation from Unidirectional to Bidirectional Learning Technology in Manufacturing Enterprises, Cognition and Exploratory Learning in the Digital Age, Pedro Isaias et al. (Eds): Online Teaching and Learning in Higher Education, Springer, 2020, pp. 185-201.
• M. Khobreh, F. Ansari & U. Seidenberg, 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, Vol. 2, 2020, pp. 17-35.
• T. Nemeth, F. Ansari & W. Sihn, Industrielle Realisierung wissensbasierter Instandhaltungsstrategien – Ein instandhaltungsspezifisches Reifegradmodell für Produktionsunternehmen am Weg zur Smart Factory, Industrie 4.0 Management, 5/2019, pp. 17-20.
• A. Stockert, R. Glawar, F. Ansari & W. Sihn, Qualitätsprognose anhand Prozess-parametern einer Papiermaschine mittels Industrial Data Science, ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, Carl Hanser Verlag, 114 (5), 2019, pp. 310-313.
• F. Ansari, R. Glawar, & W. Sihn, Prescriptive Maintenance of CPPS by Integrating Multimodal Data with Dynamic Bayesian Networks, Machine Learning for Cyber Physical Systems, Springer, , 2020 (Online Since 10 April 2019), pp. 1-8.
• K. Kovacs, F. Ansari, C. Geisert, E. Uhlmann, R. Glawar & W. Sihn, A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance, Machine Learning for Cyber Physical Systems, Springer, 2019, pp. 87-96.
• F. Ansari & R. Glawar, Knowledge-Based Maintenance, Book Chapter, In Instandhaltungslogistik, K. Matyas (Ed.), 7th Edition, Carl Hanser Verlag, 12/2018, pp. 318-342.
• F. Ansari, Cyber-Physical Systems, Chapter In: Strategy Paper of the Research, Development & Innovation Expert Group: Priority Research Areas & Measures to Support the Austrian Research Landscape in the Context of Industry 4.0, The Association Industry 4.0 Austria (Verein Industrie 4.0 Österreich), 2018, pp.26-28.
• U. Seidenberg & F. Ansari, Qualitätsmanagement in der additiven Fertigung – Herausforderungen und Handlungsempfehlungen, 3D-Printing: Recht, Wirtschaft und Technik des industriellen 3D-Drucks, Handbook, A. Leupold and S. Glossner (Eds.), Verlag C.H.Beck, 2017, pp. 159-214.
• F. Ansari, K. Schenkelberg, U. Seidenberg & M. Fathi, Problem Solving in the Digital World: Synoptic Formalism, Incrementalism and Heuristics, Encyclopedia of Computer Science and Technology, 2nd Edition; Laplante, P., Ed.; Taylor & Francis: New York, 2017.

Refereed Conference Papers (Ausgewählte)

• R. Glawar, F. Ansari, Z. J. Viharos, K. Matyas & W. Sihn, 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”, 2020, pp. 252-258.
• K. Schenkelberg, U. Seidenberg & F. Ansari, A Simulation-based Process Model for Analyzing Impact of Maintenance on Profitability, 25th IEEE Intern. Conference on Emerging Technolo-gies and Factory Automation (IEEE ETFA), September 8-11, 2020, Vienna, pp. 805-812.
• F. Ansari, S. Nixdorf & W. Sihn, Insurability of Cyber Physical Production Systems: How Does Digital Twin Improve Predictability of Failure Risk?, 4th IFAC Conference on Advanced Maintenance Engineering, Services and Technologies, September 10-11, 2020, Cambridge, UK, IFAC-PapersOnLine Volume 53, Issue 3, 2020, pp. 295-300. (Winner of Best Paper Award)
• K. Schenkelberg, U. Seidenberg & F. Ansari, Supervised Machine Learning for Knowledge-Based Analysis of Maintenance Impact on Profitability, 21st IFAC World Congress, July 12-17, 2020, Berlin, IFAC-PapersOnLine, Vol. 53, Issue: 2, 2020, pp. 10651-10657.
• N. Shilov, Nikolay, A. Smirnov & F. Ansari, Ontologies in Smart Manufacturing: Approaches and Research Framework, 26th Conference of Open Innovations Association (IEEE FRUCT 2020), April 20-24, 2020, Yaroslavl, Russia, pp. 408-414.
• F. Ansari, Knowledge Management 4.0: Theoretical and Practical Considerations in Cyber Physical Production Systems,9th IFAC Conference on Manufacturing Modelling, Management and Control, Berlin, 28-30 August, IFAC-PapersOnLine, Vol. 52, Issue: 13, 2019, pp. 1597-1602.
• F. Biebl, R. Glawar, A. Jalali, F. Ansari, B. Haslhofer, P. de Boerd & W. Sihn, A Conceptual Model to Enable Prescriptive Maintenance for Etching Equipment in Semiconductor Manufacturing, 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Procedia CIRP, Vol. 88, 2020, pp. 64-69.
• K. Schenkelberg, U. Seidenberg & F. Ansari, Analyzing the Impact of Maintenance on Profitability using Dynamic Bayesian Networks, 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Procedia CIRP, Vol. 88, 2020, pp. 42-47.
• T. Nemeth, F. Ansari & W. Sihn, A Maturity Assessment Procedure Model for realizing Knowledge-Based Maintenance Strategies in Smart Manufacturing Enterprises, 25th International Conference on Production Research and Manufacturing Innovation: Cyber Physical Manufacturing (ICPR 2019), Procedia Manufacturing, Vol. 39, 2019, pp. 645-654. (2nd Runner Up Best Paper Award)
• W. Sihn & F. Ansari, Industrial Data Science – From Raw Data to Useful Applications, In Proceedings of 21st International Seminar on High Technology, Brazil, October 2019, pp. 3-20.
• M. Khobreh, F. Ansari & U. Seidenberg, Applying Job-Know Ontology towards Linking Workforce Experience and Labor Productivity in Smart Factory Industry 4.0, In Proceedings of TAKE 2019 ‐ Theory and Applications in the Knowledge Economy Conference, Vienna, Austria, July 3-5, 2019, pp. 712-728.
• R. Glawar, F. Ansari, C. Kardos, K. Matyas & W. Sihn, Conceptual Design of an Integrated Autonomous Production Control Model in association with a Prescriptive Maintenance Model (PriMa), CIRP Life Cycle Engineering, Procedia CIRP, Vol. 80, 2019, pp. 482-487
• W. Mayrhofer, F. Ansari, W. Sihn, S. Schlund, Konzept für ein Assistenzsystem für Arbeitsplatznahes, Reziprokes Lernen in Hochautomatisierten Produktionsumgebungen, Gesellschaft für Arbeitswissenschaft (GfA) Frühjahrskongress, 27.02.19 - 01.03.19, Dresden, Deutschland.
• F. Ansari, P. Hold, W. Mayrhofer, S. Schlund & W. Sihn, AUTODIDACT: Introducing the Concept of Mutual Learning into a Smart Factory Industry 4.0, In Proceedings of 15th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2018), October 21-23, Budapest, Hungary, pp.61-68.
• F. Ansari, P. Hold & W. Sihn, Human-Centered Cyber Physical Production System: How Does Industry 4.0 Impact on Decision-Making Tasks?, 2018 IEEE Technology and Engineering Management Society Conference, 27 June-1 July 2018, IL, USA.
• T. Nemeth, F. Ansari, W. Sihn, B. Haslhofer & A. Schindler, PriMa-X: A Reference Model for Realizing Prescriptive Maintenance and Assessing its Maturity Enhanced by Machine Learning, Procedia CIRP, Vol. 72, 2018, pp. 1039-1044.
• L. Lingitz, V. Gallina, F. Ansari, D. Gyulai, A. Pfeiffer, W. Sihn & L. Monostori, Lead Time Prediction using Machine Learning Algorithms: A Case Study by a Semiconductor Manufacturer, Procedia CIRP, Vol. 72, 2018, pp. 1051-1056.
• F. Ansari, S. Erol & W. Sihn, Rethinking Human-Machine Learning in Industry 4.0: How does the Paradigm Shift Treat the Role of Human Learning? Procedia Manufacturing, Vol. 23C, 2018, pp. 117-122.