Prof. Dr. Dr.-Ing. Yilmaz Uygun

• Data-driven analysis and algorithmic optimization of logistics and supply chain processes (production planning & sequencing)
• Anticipatory inventory planning in highly volatile environments based on machine learning
• Additive Manufacturing and design and development of large-scale 3D printers
• Design and development of vertical axis wind turbines
• Discrete-event, agent-based and system dynamics modeling and simulation

• 2013: PhD, University of Duisburg-Essen
• 2012: PhD, Dortmund University of Technology
• 2007: MEng Logistics Engineering, University of Duisburg-Essen
• 2006: MSc Logistics Management, University of Duisburg-Essen
• 2004: BA European Studies in Technology and Management, FH Südwestfalen

• Fellow at Mercator Foundation: Turkey-Europe Future Forum

• 2023-2025: Wind-EnergieAutarke Schulen in der Metropolregion Nordwest (funded by Metropolregion Nordwest)
• 2023-2024: Adaptive Safety Stock Calculation Method for ERP Systems (industry-sponsored)
• 2022-2023: Scenario-based Sustainability Analysis for Alternative Materials in License Plate Manufacturing (industry-sponsored)
• 2022-2023: HoneyComb 3D - Large-Scale Additive Manufacturing (funded by BMWI)
• 2021-2022: Data-driven Anticipatory Quality and Defect Management to Minimize Rework in the Automotive Industry (funded by Bremer Aufbau-Bank)
• 2020-2023: 3D Printer for Spare Parts Logistics (funded by Kieserling-Foundation)
• 2020-2022: Intelligent Scheduling in Steel Manufacturing (industry-sponsored)
• 2018-2019: Model-based Process Optmization in Inland Ports (industry-sponsored)
• 2017-2020: Dynamic Optimization Models in Steel Making (industry-sponsored)
• 2017-2020: Supplier Network Analysis in the Automotive Supplier Industry (industry-sponsored)

Journals:

• Uygun, Y. & Momodu, V. (2024): Local Large Language Models to Simplify Requirements Engineering Documents in the Automotive Industry. In: Production and Manufacturing Research. Volume 12 Issue 1. Taylor & Francis. Open Access. https://doi.org/10.1080/21693277.2024.2375296 
   
• Lyutov, A., Uygun, Y. & Hütt, M.-T. (2024): Machine learning misclassification networks reveal a citation advantage of interdisciplinary publications only in high-impact journals. In: Scientific Reports. Vol. 14, Article # 21906. Nature. Open Access.  https://doi.org/10.1038/s41598-024-72364-5 
   
• Niyayesh, M., Uygun, Y. (2024): Predicting endpoint parameters of electric arc furnace-based steelmaking using artificial neural network. In: International Journal of Advanced Manufacturing Technology. Springer. Open Access. https://doi.org/10.1007/s00170-024-14502-x 
   
• Merten, D., Hütt, M.-T. & Uygun, Y., Lesne, A. (2024): Threshold-Impeded Stochastic Production Systems. In: Frontiers in Industrial Engineering. Vol. 2/2024. Frontiers. Open Access. https://doi.org/10.3389/fieng.2024.1353531 
   
• Uygun, Y., Mohammadian, N. & Un Nisa, M. (2024): Implications of changing the base raw material – the case of license plate manufacturing. In: Production and Manufacturing Research, Volume 12 Issue 1. Taylor & Francis. Open Access. https://doi.org/10.1080/21693277.2024.2381076 
   
• Uygun, Y. & Niyayesh, M.: Growth Trap of Public Freight Villages in Europe – A System Dynamics Analysis. In: Cogent Business & Management. Taylor & Francis. Open Access. https://doi.org/10.1080/23311975.2022.2155003 
• Lyutov, A., Uygun, Y., Hütt, M.-T. (2022): Local topological features of robust supply networks. In: Applied Network Science. Volume 7, Issue 33. Springer Nature. Open Access. https://doi.org/10.1007/s41109-022-00470-2
• Uygun, Y., Schupp, F., Gotsadze, N., Gzirishvili, L., Tindjou, S. (2022): A Holistic Model for Understanding the Dynamics of Outsourcing. In: International Journal of Production Research. Taylor & Francis. Open Access. https://doi.org/10.1080/00207543.2022.2031330 
• Uygun, Y. & Rustemaj, A. (2022): Calculation Methods for Milk-Runs in Manufacturing - A Comparative Analysis of Ant Colony Optimization and Mixed-Integer Programming. In: International Journal of Advanced Operations Management. Volume 14, Issue 2. Inderscience. https://doi.org/10.1504/IJAOM.2022.123267 
• Merten, D., Hütt, M.-T. & Uygun, Y. (2022): A network analysis of decision strategies of human experts in steel manufacturing. In: Computers & Industrial Engineering. Volume 168. Elsevier. Open Access. https://doi.org/10.1016/j.cie.2022.108120 
• Merten, D., Hütt, M.-T., Uygun, Y. (2022): On the Effect of the Slab Width on the Choice of the Appropriate Casting Speed in Steel Production. In: Journal of Iron and Steel Research International. Ganglie Yanjiu Xuebao. Volume 29, pp. 71-79. https://doi.org/10.1007/s42243-021-00729-5
• Uygun, Y. & Ahsan, J. (2021): Model-based Criticality Index of the Railway Network of the Belt and Road Initiative – A Multi-Method Simulation Study. In: Cogent Business & Management. Taylor & Francis. Open Access. https://doi.org/10.1080/23311975.2021.1932066
• Lyutov, A., Uygun, Y. & Hütt, M.-T. (2020): Machine learning misclassification of academic publications reveals non-trivial interdependencies of scientific disciplines. In: Scientometrics. Springer Nature. Open Access. https://doi.org/10.1007/s11192-020-03789-8
• Özgür, A., Uygun, Y. & Hütt, M.-T. (2020): A review of planning and scheduling methods for hot rolling mills in steel production. In: Computers & Industrial Engineering. Elsevier. https://doi.org/10.1016/j.cie.2020.106606 
• Uygun, Y. & Jafri, A. (2020): Controlling Risks in Sea Transportation of Cocoa Beans. In: Cogent Business & Management. Taylor & Francis. Open Access. Vol. 7, No. 1. https://doi.org/10.1080/23311975.2020.1778894 
• Lyutov, A., Uygun, Y. & Hütt, M.-T. (2019): Managing workflow of customer requirements using machine learning. In: Computers in Industry. Volume 109, pp. 215-225. Elsevier. https://doi.org/10.1016/j.compind.2019.04.010 
• Reynolds, E.B. & Uygun Y. (2017): Strengthening Advanced Manufacturing Innovation Ecosystems: The Case of Massachusetts. In: Technological Forecasting and Social Change – An International Journal. Elsevier. https://doi.org/10.1016/j.techfore.2017.06.003 
• Güller, M., Karakaya, E., Uygun, Y. & Hegmanns, T. (2017): Simulation-based Performance Evaluation of the Cellular Transport System. In: Journal of Simulation, pp. 1-14. Taylor & Francis. https://doi.org/10.1057/s41273-017-0061-1
• Güller, M., Uygun, Y. & Noche, B. (2015): Simulation-based Optimization for a Capacitated Multi-Echelon Production-Inventory System. In: Journal of Simulation. Vol. 9 No. 4., pp. 325-336. Taylor & Francis. https://doi.org/10.1057/s41273-017-0061-1  
• Besenfelder, C., Kaczmarek & Uygun, Y. (2013): Process-based Cooperation Support for Complementary Outtasking in Production Networks of SME. In: International Journal of Integrated Supply Management. Vol. 8, Nos. 1/2/3, pp. 121-137. Inderscience. https://doi.org/10.1504/IJISM.2013.055072 

Books

• Steel 4.0 - Digitalization in Steel Industry. Y. Uygun, A. Özgür & M.-T. Hütt (Eds.). Springer: Cham. ISBN: 978-3-031-57467-2
• Industry 4.0: Principles, Effects and Challenges. Y. Uygun (Ed.). Nova Science: Hauppauge, NY. ISBN: 978-1-53618-423-5.
• Entwicklung eines Diagnosesystems für Ganzheitliche Produktionssysteme. Dissertation. Shaker Verlag: Aachen, 2013. ISBN: 978-3-8440-2117-2
• Integrierte Kapazitätsbörse. Dissertation. Verlag Praxiswissen: Dortmund, 2012. ISBN: 978-3-86975-063-7
• Trusted-RFID. G. Schuh & V. Stich (Eds.). Klinkenberg Verlag: Aachen, 2009. (w/ M. Auerbach, B. Hellmeier, R. Christova, & P. Wülfing). ISBN: 978-3-934318-92-2

Chapters

• Niyayesh, M.; Valilai, O.F., Uygun, Y. (2024): Planning and Scheduling of Electric Arc Furnace based Steelmaking. In: Steel 4.0 - Digitalization in Steel Industry. Y. Uygun, A. Özgür & M.-T. Hütt (Eds.). Springer: Cham. ISBN: 978-3-031-57467-2
   
• Martínez Calabaza, S. & Uygun, Y. (2024): Volatility and Synchronization in Steel Manufacturing – A Simulation Study of a Modern Steel Mill. In: Steel 4.0 - Digitalization in Steel Industry. Y. Uygun, A. Özgür & M.-T. Hütt (Eds.). Springer: Cham. ISBN: 978-3-031-57467-2
   
• Merten, D.C.; Hütt, M.T.; Uygun, Y.; Özgür, Ö.; Klein, C.A. (2024): Comparative Study of Two Genetic Algorithms for Steel Production Planning under Different Order Backlog Circumstances. In: Steel 4.0 - Digitalization in Steel Industry. Y. Uygun, A. Özgür & M.-T. Hütt (Eds.). Springer: Cham. ISBN: 978-3-031-57467-2
   
• Merten, D.C.; Hütt, M.T.; Uygun, Y.; Özgür, Ö.; Klein, C.A. (2024): Novel genetic algorithm for simultaneous scheduling of two distinct steel production lines. In: Steel 4.0 - Digitalization in Steel Industry. Y. Uygun, A. Özgür & M.-T. Hütt (Eds.). Springer: Cham. ISBN: 978-3-031-57467-2
   
• Mohammadian, N., Raka, N.J., Wanyonyi, M., Uygun, Y., Valilai, O.F. (2023): Using Social Media Analytics for Extracting Fashion Trends of Preowned Fashion Clothes. In: Advances in Intelligent Manufacturing and Service System Informatics. Z. Sen, Ö. Uygun, C. Erden (eds.). Springer Nature, pp.149-160. 
   
• Sommerfeld, D. & Uygun, Y. (2020): Digitalization Applications in the Automotive Value Chain – Summary and Outlook. In: Industry 4.0: Principles, Effects and Challenges. Y. Uygun (Ed.). Nova Science: Hauppauge, NY, pp. 219-245.
• Nosheen, S. & Uygun, Y. (2020): The Effects of Industry 4.0 on Employment – How Reliable are the Current Jobs Reports? In: Industry 4.0: Principles, Effects and Challenges. Y. Uygun (Ed.). Nova Science: Hauppauge, NY, pp. 133-157.
• Uygun, Y. (2020): The Current State of Research & Application of Industry 4.0 in Germany. In: Industry 4.0: Principles, Effects and Challenges. Y. Uygun (Ed.). Nova Science: Hauppauge, NY, pp. 3-15. 
• Uygun, Y. & Ilie, M. (2017): Autonomous Manufacturing-related Procurement in the Era of Industry 4.0: In: F. Schupp & H. Wöhner (Eds.): Digitalisierung im Einkauf. Springer: Berlin, pp. 81-97.
• Uygun, Y. & Reynolds, E.B. (2016): Advanced Manufacturing Ecosystems. In: C. Brecher & S. Jeschke (Eds.): Industrial Internet of Things - Cybermanufacturing Systems. Springer: Berlin, pp. 691-715.
• Uygun, Y., Ringeln, M. & Straub, N. (2015): Pull-Prinzip. In: U. Dombrowski & T.Mielke (Eds.): Ganzheitliche Produktionssysteme – Aktueller Stand und zukünftige Entwicklungen. Springer: Berlin, pp. 110-128.
• Mevenkamp, A., Uygun, Y. & Straub, N. (2015): Ganzheitliche Produktionssysteme in der Pharma-Industrie. In: U. Dombrowski & T.Mielke (Eds.): Ganzheitliche Produktionssysteme – Aktueller Stand und zukünftige Entwicklungen. Springer: Berlin, pp. 269-284. 
• Besenfelder, C.; Uygun, Y.; Kaczmarek, S. (2013): Service-Oriented Integration of Intercompany Coordination into the Tactical Production Planning Process. In: K. Windt (Ed.): Robust Manufacturing Control - Lecture Notes in Production Engineering. Springer: Berlin & Heidelberg, pp. 301-314.
• Uygun, Y. (2012): Ein praxisorientierter Leitfaden zur Verschlankung der Produktion – Die VDI-Richtlinie 2870. In: D. Spee & J. Beuth (Eds.): Lagerprozesse effizient gestalten - Lean Warehousing in der Praxis erfolgreich umsetzen. Huss Verlag: München, pp. 51-57.
• Keßler, S. & Uygun, Y. (2010): Nutzenpotenziale des Einsatzes des Dortmunder Prozessketteninstrumentariums in Ganzheitlichen Produktionssystemen. In: U. Clausen & M. ten Hompel (Eds.): Facetten des Prozesskettenparadigmas. Wege zur innovativen Fabrikorganisation - Band 4. Verlag Praxiswissen: Dortmund, pp. 19-40.
• Uygun, Y. & Luft, N. (2010): Vorgehensmodell zur Maßnahmenselektion - Das Maßnahmenfilter-Modell. In: G. Bandow & H. H. Holzmüller (Eds.): "Das ist gar kein Modell" - Unterschiedliche Modelle und Modellierungen in Betriebswirtschaftslehre und Ingenieurwissenschaften. Gabler: Wiesbaden, pp. 213-232.
• Jungmann, T. & Uygun, Y. (2010): Das Dortmunder Prozesskettenmodell in der Intralogistik. In: G. Bandow & H. H. Holzmüller (Eds.): "Das ist gar kein Modell" - Unterschiedliche Modelle und Modellierungen in Betriebswirtschaftslehre und Ingenieurwissenschaften. Gabler: Wiesbaden, pp. 357-382.
• Wötzel, A.; Uygun, Y.; Bandow, G.; Kuhn, A. (2009): Nutzungsabhängige Simulation intralogistischer Systeme. In: B. Künne, W. Tillmann, H.-A. Crostack (Eds.): Logistics on Demand. Verlag Praxiswissen: Dortmund, pp. 143-157.
   

• Member of VDI-Richtlinie 2871 "Lean Leadership", Verein Deutscher Ingenieure
• Member of VDI-Richtlinie 2870 "Ganzheitliche Produktionssysteme", Verein Deutscher Ingenieure
• Reviewer for "Industrie 4.0 Testumgebungen für KMU", BMBF
• Reviewer for "Deutsch-Tschechische Forschungsvorhaben auf dem Gebiet Industrie 4.0", BMBF
• Member of Organization Committee "Logistics Dynamics International Conference", Bremen

• since 2016: Professorship at Jacobs University / Constructor University Bremen
• 2013-2016: Postdoctoral Fellow at Industrial Performance Center at Massachusetts Institute of Technology
• 2010-2013: Executive Director (Oberingenieur) of Department of Factory Organization at Dortmund University of Technology
• 2006-2010: Research Associate at Dortmund University of Technology & Fraunhofer Institute of Material Flow and Logistics