[Translate to English:] Fazel Ansari

Univ.-Prof. Dr.-Ing. habil.

Head of the Research Unit Production and Maintenance Management and University Professor for Data-driven Maintenance Management

Institute of Management Science | Faculty of Mechanical and Industrial Engineering

Phone: +43 1 58801 33094
Email: fazel.ansari@tuwien.ac.at

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  • Habilitation (venia docendi) in Industrial Engineering, Faculty of Mechanical and Industrial Engineering, TU Wien, 2021
  • Ph.D. in Computer Science (Summa cum laude), Faculty of Science and Technology, University of Siegen, 2014
  • M.Sc. in Mechatronics, Dep. of Electrical Engineering and Computer Science & Dep. of Mechanical Engineering, University of Siegen, 2008
  • B.Sc. in Mechanical Engineering, School of Mechanical Engineering, University of Tehran, 2005

  • Head of Strategic Projects & Member of Management Board, Fraunhofer Austria Research GmbH (since March 2023)
  • Associate Editor of AI and Intelligent Manufacturing, Journal of Production & Manufacturing Research, Taylor & Francis (since 2022)
  • Head of Research Group Digitalization and Competence Management, Fraunhofer Austria Research GmbH (11/2021-02/2023)
  • Visiting Lecturer & Associated Faculty, Chair of Production and Logistics Management, University of Siegen (2017-2022)

  • Maintenance and Production Planning
  • Knowledge-Based Maintenance
  • Industry 4.0 and Digital Transformation in Manufacturing
  • Industrial AI – Application of Semantic Modeling, Text Mining and Predictive/Prescriptive Data Analytic
  • Human-Centered Cyber Physical Production Systems
  • Knowledge Management (Human- and Machine Factors) in Smart and Learning Factories

  • Seminar for Master Students in Business Informatics (Faculty of Informatics, TU Wien, since 2022)
  • Techno-Economical Research Colloquium (TU Austria - TU Wien, TU Graz, MU Leoben, since 2022)
  • Parametric Tools for Structural BIM Design Seminar, In cooperation with the Institute of Building- and Industrial Construction (E210), (Faculty of Civil and Environmental Engineering, TU Wien, since 2022)
  • Maintenance Management, MBA Automotive Industry (TU Wien Academy for Continuing Education, since 2022)
  • Fundamentals of Business and Corporate Management (TU Wien, since 2021)
  • Seminar for Doctoral and Diploma Students (Institute of Management Science, TU Wien, since 2021)
  • Industrial Production Information Systems, Lecture and Exercise in the Master Specialization of Production Information Management (Institute of Management Science, TU Wien, since 2020)
  • Smart Production Systems, Master Seminar in the Specialization of Production Information Management (Institute of Management Science, TU Wien, since 2019)
  • Maintenance Management, Master of Engineering Nachhaltiges Bauen (TU Wien Academy for Continuing Education, since 2019)
  • Project Work Production and Logistics Management, Master Seminar (Institute of Management Science, TU Wien, since 2019)
  • KM 4.0 - Knowledge Management in Cyber Physical Production Systems, Lecture in the Master Specialization of Production Information Management (Institute of Management Science, TU Wien, since 2018)
  • Industrial Data Science, Exercise in the Master Specialization of Production Information Management (Institute of Management Science, TU Wien, since 2018)
  • Maintenance and Reliability Management, Topic Area of “Smart and Knowledge-Based Maintenance”, Lecture (Institute of Management Science, TU Wien, since 2017)

  • The International Academy for Production Engineering (CIRP), since February 2024
  • TECHNO-ÖKONOMIE FORUM, since February 2024
  • Austrian Society for Artificial Intelligence (ASAI), since July 2023
  • German Association of University Professors and Lecturers (Deutscher Hochschulverband), since September 2022
  • Austrian Association of Industrial Engineers (Österreichischer Verband der Wirtschaftsingenieure, WING), since October 2021
  • World Manufacturing Foundation, Focus Group AI in Manufacturing, since June 2021
  • The Prognostics and Health Management Society (PHM Society), since 2020
  • International Federation of Automatic Control (IFAC)
    •  Chair of TC 5.2’s Working Group 4 “Predictive and Knowledge-Based Maintenance”, since 2020
    • Member of Technical Committee 5.2 “Management and Control in Manufacturing and Logistics”, since September 2019
  • International Association of Learning Factories (IALF), since April 2017
    • Voting Member and representative of TU Wien, since October 2023
    • Member of Scientific Excellence Committee, 2022-2023
    • Head of Working Groups “Work-based Learning” and “AI in Manufacturing”, 2020-2023
  • Institute of Electrical and Electronics Engineers (IEEE), since January 2010
    • IEEE Senior Member, since February 2022
    • Member of Systems, Man, and Cybernetics Society (IEEE SMC), since 2022
    • Member of Technology and Engineering Management Society (IEEE TEMS), since 2011
  • Board Member at European Association for Practitioner Research on Improving Learning (EAPRIL), 2017-2020

  • Keynote, Towards Competence-Based Planning for Optimizing Human Resource Allocation in Manufacturing Systems,  Leverage of IT for Engineering and Science (LITES 2023), Organized collaboratively by the Turkish-German University, TU Berlin, and University of Potsdam, Istanbul, 31 October 2023
  • Invited Talk and Panelist, AI in Maintenance,  2023 Congress of the Austrian Association for Maintenance and Asset Management (ÖVIA), Leoben, 11 October 2023
  • Invited Talk, Positive Impact Production, Future of Advanced Manufacturing (FoAM 2023), Fraunhofer Innovation Platform at the University of Twente, Enschede, 10 October 2023
  • Keynote Speaker, Cognitive Twin in Industrial Maintenance, Design, Simulation, Manufacturing: The Innovation Exchange (DSMIE 2023), High Tatras, Slovakia, 6-9 June 2023
  • Invited Talk, Maintenance-Free Factory: A revolutionary Model for Future of Industrial Maintenance, CIRP Winter Meetings, STC-O Meeting, Paris, 23 February 2023
  • Invited Speaker and Panelist, Knowledge-Based Maintenance as an Enabler and Driver of Sustainable Production Management, Intelligent Maintenance Conference 2022, Lausanne, Switzerland, 7 September 2022
  • Invited Talk, Towards Adaptive and Personalized Work Systems, CIRP STC-A Meeting, CIRP General Assembly, Bilbao, Spain, 26 August 2022
  • Invited Talk and Panelist, Reciprocal Learning in Collaborative Work Systems, Global Engineering Education Panel, 5th European Conference on Industrial Engineering and Operations Management, Rome, Italy, 26 July 2022
  • Invited Talk, Towards Reciprocal Learning in Collaborative Work Systems, CIRP Winter Meetings, Collaborative Working-Group on AI, Paris, France (Online), 16 February 2022
  • Invited Technical Talk, Knowledge-Based Maintenance for Sustainable Production Management, STC-O Meeting, CIRP General Assembly, Munich, Germany (Online), 25 August 2021
  •  Invited Talk, Knowledge-Based Maintenance: TU Wien's Experiences and Foresights, EIT Manufacturing Hub Croatia, Online Event, 1 June 2021
  •  Invite Talk, 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), 10 December 2020
  • Invited Talk, Text-Mining in Industrial Maintenance, Predictive Maintenance Workshop, Association Industry 4.0 Austria – the Platform for Smart Production, Vienna, Austria, 5 June 2020
  • Invited Talk, Learning Factories for SMEs, European Bank for Reconstruction and Development (EBRD), Skopje, North Macedonia, 27 September 2019.
  • Keynote Speaker, Knowledge Management 4.0 Is KM 4.0 for or against Industrial Fake News?!, TAKE 2019 - Theory and Applications in the Knowledge Economy, organized by Institute for Applied Research on Skilled Crafts and Trades (IAGF), WU Wien & Austrian Federal Economic Chamber (WKÖ), Vienna, Austria, 5 July 2019
  • Keynote Speaker, Future of AI based maintenance planning and operations: Can a machine maintain its health score?, Conference on Industry Invited Lecturer, Knowledge-Based Maintenance: Today & Tommorrow , Infineon Winter School Chip Fab of the Future, Villach, Austria, 26 February 2019
  • Invited Technical Talk, Dynamic Maintenance-based Insurance Model for Industrial Machines, CIRP Winter Meetings, STC-O, Paris, France, 21 February 2019
  • Invited Technical Talk, Reciprocal Learning in Smart Factories, CIRP Winter Meetings, Collaborative Working-Group on Biologicalisation, Paris, France, 20 February 2019
  • Speaker, The Evolution of Knowledge-Based Maintenance: From Descriptive to Prescriptive Maintenance, IT2Industry Forum, AUTOMATICA 2018, Munich, Germany, 19 June 2018
  • Speaker and Workshop Organizer, Predictive Maintenance through Intelligent Data Management and Analysis, Smart Maintenance Pavillon in cooperation with the Fraunhofer Group for Production, AUTOMATICA 2018, Munich, Germany, 19 June 2018
  • Speaker and Workshop Co-organizer, Session 2: Predictive Maintenance through Intelligent Data Management and Analysis, Smart Maintenance Sessions organized by the Fraunhofer Group for Production, Convention Center (Saal Paris), Hannover Messe, Hannover, Germany, 26 April 2018
  • Invited Technical Talk, A Problem-Solving Ontology for Human-Centered CPPS: Human-CPPS Collaboration as an Enabler of Changeability, CIRP Winter Meetings, STC-O, Paris, France, 22 February 2018
  • Speaker and Workshop Organizer, Promoting Learning Analytics for Practitioners, EAPRIL Conference 2017, Häme University of Applied Sciences, Finland, 29 November 2017
  • Invited Symposium Discussant, The Connection Between Education and Technology in Co-Creation with High Tech Enterprises, EAPRIL Conference 2017, Häme University of Applied Sciences, Finland, 29 November 2017
  • Invited Talk, From Predictive to Prescriptive Maintenance, 3rd Machine Learning for Cyber Physical Systems and Industry 4.0, Lemgo, Germany, 25 October 2017
  • Invited Talk, Predictive Analytics in Maintenance of Cyber Physical Systems, Knowledge Management Workshop for Industry and Production 4.0 – Machine Meets Knowledge, Stuttgart, Germany, 24 June 2015

  • Best Paper Award WGAB Research Seminar 2023, University of Technology Sydney, Australia, September 2023
  • Best Paper Award, International Conference on Learning Factories (CIRP CLF 2022), Singapore, April 2022
  • Best Paper Award, 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies (AMEST 2020), University of Cambridge, UK, September 2020
  • Outstanding Reviewer, Journal of Computers and Industrial Engineering, Elsevier, 2016
  • Winner of Theta Award, The cut-e Award for Person-Job-Fit Innovation, EUR 5K, Hamburg, February 2015
  • Dean’s Award for Excellence in a PhD Thesis, Dean of Faculty of Science and Technology, Universität Siegen, May 2015
  • Graduate Scholar Award, 12th Int. Conf. on Knowledge, Culture and Change Management, Chicago, USA, July 2012
  • Diploma Degree in Structural Health Monitoring, Sponsored by the European Commission, Specific Support Action ASA6-CT-2006-044636, Universität Siegen, November 2007

For complete list of publications please visit GoogleScholar, opens an external URL in a new window and ResearchGate, opens an external URL in a new window.

Journals (Peer reviewed)

Book chapters (selected)

  • F. Ansari & L. Kohl, AI-enhanced Maintenance for Building Resilience and Viability in Supply Chains, Supply Network Dynamics and Control, Alexandre Dolgui, Dmitry Ivanov & Boris Sokolov (Eds.), Springer, pp. 163-185.
  • S. Schlund & F. Ansari, Fit for Future Work - Dynamisierung des Kompetenz-Profiling mithilfe KI-gestützter Datenanalyse betrieblicher Prozesse, Austrian Management Review, Wolfgang Güttel (Ed.), Vol. 11, 2021, pp. 96-102.
  • L. Kohl, B. Fuchs, R. Berndt, Daniel Valtiner, F. Ansari & S. Schlund, Künstliche Intelligenz im Kompetenzmanagement, ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, Carl Hanser Verlag, 116 (7-8), 2021, pp. 534-537.
  • 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.
  • F. Ansari & M. Fathi, Meta-analysis of Maintenance Knowledge Assets Towards Predictive Cost Controlling of Cyber Physical Production Systems, Machine Learning for Cyber Physical Systems, O. Niggemann and  J. Beyerer (Eds.), Springer, 2016.
  • K. Ternai, M. Khobreh & F. Ansari, An Ontology Matching Approach for Improvement of Business Process Management, Integrated Systems: Innovations and Applications, Springer, 2015.
  • F. Ansari, I. Buethe, Y. Niu, C.-P. Fritzen & M. Fathi, Integration of Knowledge-based Approach in SHM Systems, Transactions on Engineering Technologies, Book Chapter No.: 55, pp. 765-779, Springer, 2014.
  • S. T. Mol, G. Kismihok, F. Ansari & M. Dornhöfer, Integrating Knowledge Management in the context of Evidence Based Learning: Two concept models for facilitating the assessment and acquisition of job knowledge, Integration of Practice-Oriented Knowledge Technology: Trends and Prospectives, M. Fathi (Ed.), Springer pp.29-46, 2013.
  • F. Ansari, M. Fathi & U. Seidenberg, Evolution of Intelligent Quality Management Process Based on Using Performance Quality Indicators, 6th Conference on Professional Knowledge Management: From Knowledge to Action, Lecture Notes in Informatics, Ronald Maier (Ed.), Vol. P-182,Gesellschaft für Informatik, Bonn, Germany, 2011, pp. 149-160.

Refereed Conference Papers (Selected)

  • Kohl, L., Ansari, F., 2023, A Knowledge Graph-based Learning Assistance Systems for Industrial Maintenance, 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Gulf of Naples, Italy, 12-14 July, To be appeared in Procedia CIRP (Accepted and Presented in the conference).
  • Kamhuber, K., Sobottka, T., Lindorfer, P., Ansari, F., 2023, Metaheuristic comparison of a simu-lation-based multi-criteria optimization method for rolling production smoothing, 17th CIRP Con-ference on Intelligent Computation in Manufacturing Engineering, Gulf of Naples, Italy, 12-14 July, To be appeared in Procedia CIRP (Accepted and Presented in the conference).
  • L. Kohl, F. Ansari, "Chatbots in der Instandhaltung - Industrielle Perspektiven für den Einsatz von generativer Künstlicher Intelligenz," Instandhaltung im dynamischen Umfeld: Lean - Digital - Integrativ - Nachhaltig - Wertschöpfend, 2023, pp. 131-146.
  • S. Nixdorf, M. Zhang, F. Ansari, & E. Grosse, Reciprocal Learning in Production and Logistics, IFAC-Papers OnLine, 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022, Vol. 55, Issue:10, pp. 854-859.
  • R. Glawar, F. Ansari,L.Reichsthaler, W. Sihn & D. Toth, Maintenance-Free Factory: A Holistic Approach for Enabling Sustainable Production Management, IFAC-Papers OnLine, 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022, Vol. 55, Issue:10, pp. 2318-2323.
  • S. Nixdorf, F. Ansari & S. Schlund, Reciprocal Learning in Human-Machine Collaboration: A Multi-Agent System Framework in Industry 5.0, In Digitization of the work environment for sustainable production, Peter Plapper (Ed.), Academic Society for Work and Industrial Organization (Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation), Gito Verlag, 2022, pp. 207-226.
  • L. Reichsthaler, T. Madreiter, J. Giner, R. Glawar, F. Ansari & W. Sihn, An AI-enhanced Approach for optimizing life cycle costing of military logistic vehicles, The 29th CIRP Conference on Life Cycle Engineering, Procedia CIRP, Vol. 105, 2022, pp. 296-301.
  • T. Biegel, N. Jourdan, T. Madreiter, L. Kohl, S. Fahle, F. Ansari, B. Kuhlenkötter & J. Metternich, Combining process monitoring with text mining for anomaly detection in discrete manufacturing, Proceedings of Conference on Learning Factories (CLF 2022), 11-13 April 2022, Singapore
  • S. Nixdorf, M. Madreiter, S. Hofer & F. Ansari, A Work-based Learning Approach for Developing Robotics Skills of Maintenance Professionals, Proceedings of Conference on Learning Factories (CLF 2022), 11-13 April 2022, Singapore
  • 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
  • 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
  • T. Madreiter, L. Kohl & F. Ansari, A Text Understandability Approach for Improving Reliability-Centered Maintenance in Manufacturing Enterprises, Advances in Production Management Systems (APMS 2021), Artificial Intelligence for Sustainable and Resilient Production Systems, IFIP Advances in Information and Communication Technology, Vol. 630, Springer, pp. 161.170.
  • T. B. Tuli, L. Kohl, S. Chala, M. Mann & F. Ansari, Knowledge-Based Digital Twin for Predicting Interactions in Human-Robot Collaboration, 26th IEEE Intern. Conf. on Emerging Technologies and Factory Automation (IEEE ETFA), 7-10 September 2021, Västerås, Sweden, pp. 1-8.
  • L. Kohl, F. Ansari, W. Sihn, A Modular Federated Learning Architecture for Integration of AI-enhanced Assistance in Industrial Maintenance, Academic Society for Work and Industrial Organization (Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation), Gito Verlag Berlin, 2021, pp. 229-242.
  • K. Kovacs, F. Ansari & W. Sihn, A Modified Weibull Model for Service Life Prediction and Spare Parts Forecast in Heat Treatment Industry, 10th CIRP Sponsored Conference on Digital Enterprise Technologies (DET 2020), Procedia Manufacturing, Vol. 54, 2021, pp. 172-177.
  • 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.
  • 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, 7 - 9 October 2020, Novi Sad, Serbia
  • 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), 8-11 September 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, 10-11 September 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, 12-17 July 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), 20-24 April 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, 3-5 July 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, Germany
  • 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), 21-23 October, 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.

Technical Report and White Papers

Theses