Minqi Zhang, M.Sc.

Wissenschaftlicher Mitarbeiter

Juniorprofessur für BWL, insb. Digitale Transformation im Operations Management
Fakultät HW, Bereich Wirtschaftswissenschaft
Universität des Saarlandes
Gebäude A5 4, Raum 2.19
Campus
66123 Saarbrücken

Tel:  0681 / 302 4831

Email: minqi.zhang(at)uni-saarland.de

Sprechstunde: Nach Vereinbarung

 
Forschungsgebiete
  • Digitalisierung in der Logistik
  • Simulation logistischer Prozesse
  • Mensch-Roboter-Kooperation in der Kommissionierung
Werdegang
Seit 07/2020Wissenschaftlicher Mitarbeiter an  der Juniorprofessor für BWL, insb. Digitale Transformation im Operations Management an der Universität des Saarlandes
09/2018 bis 04/2019Praktikum im Supply Chain Management bei der Schaeffler AG
10/2016 bis 02/2020Studium des Verkehrswesens (Master) an der Technischen Universität Darmstadt
09/2011 bis 06/2016

Studium der Logistiktechnik (Bachelor) an der Tongji-Universität

Publikationen
  • Ranasinghe, T., Zhang, M., Grosse, E.H., Loske, D., Marolt, J., Lerher, T., 2024. The Influence of Human Age on Order Picking Performance with Collaborative Robots: Experimental Insights. International Conference on Industry 4.0 and Smart Manufacturing 2024, Prague, Czech Republic.
  • Zhang, M., Marolt, J., Bencak, P., Grosse, E. H., Lerher, T., 2024. Ergonomic Evaluation of Human–Robot Collaborative Order Picking: A Combined Laboratory and Simulation Study. 18th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2024, Vienna, Austria.
  • Zheng, T., Wildt, C., Zhang, M., Glock, C., Weidinger, F., Grosse, E.H., 2024. A new Kinect-enabled motion analysis approach for warehouse materials handling activities. 18th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2024, Vienna, Austria.
  • Zhang, M., Grosse, E.H., 2024. How to Model Human–Robot Collaborative Logistics Systems: Systematic Literature Review and Future Perspectives.18th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2024, Vienna, Austria.
  • Lerher, T., Grosse, E.H., Marolt, J., Bencak, P., Zhang, M., Hercog, D., 2024. Simulation-based Design of Human-robot Collaborative Order Picking, in: Glock, C.H.; Grosse, E.H. (Hrsg.): Warehousing 5.0 - Managing the transition from techno-focused to human-value-centric intralogistics. Kindle Direct Publishing.
  • Zhang, M., Ludwig, M.G., Grosse, E.H., 2023. Mensch-Roboter-Zusammenarbeit in der Intralogistik: Vorteile und Auswirkungen auf die Beschäftigten. HMD Praxis der Wirtschaftsinformatik. https://doi.org/10.1365/s40702-023-00998-6
  • Zhang, M., Grosse, E.H., Glock, C.H., 2023. Human-Centric Investigation of a Robotic Forward–reserve Warehouse. 22. IFAC World Congress, 9.-14. July 2023, Yokohama, Japan.
  • Zhang, M. 2023. Enhancing Manual Order Picking Process Through Picking Robots in a Forward-Reserve Warehouse. In Advances in Resilient and Sustainable Transport: Proceedings of the 6th Interdisciplinary Conference on Production, Logistics and Traffic 2023 (pp. 355-365). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-28236-2_22
  • Zhang, M., Grosse, E.H., Glock, C.H., 2023. Ergonomic and economic evaluation of a collaborative hybrid order picking system. International Journal of Production Economics, 258, 108774. https://doi.org/10.1016/j.ijpe.2023.108774
  • Zhang, M., Grosse, E.H., Glock, C.H., 2022. Potential of mobile applications in human-centric production and logistics management. 10th IFAC Conference on Manufacturing Modelling, Management and Control, June 2022, Nantes, France.
  • Nixdorf, S., Zhang, M., Ansari, F., Grosse, E.H., 2022. Reciprocal Learning in Production and Logistics. 10th IFAC Conference on Manufacturing Modelling, Management and Control, June 2022, Nantes, France.
  • Zhang, M., Grosse, E.H., Winkelhaus, S., Glock, C.H., 2022. The effects of human-robot collaboration in order picking on costs and ergonomics. 22. International Working Seminar on Production Economics, February 2022, Innsbruck, Austria.
  • Winkelhaus, S., Zhang, M., Grosse, E.H., Glock, C.H., 2022. Hybrid order picking: a simulation model of a joint manual and autonomous order picking system. Computers & Industrial Engineering, 107981. https://doi.org/10.1016/j.cie.2022.107981
  • Zhang, M., Winkelhaus, S., Grosse, E.H., Glock, C.H. 2021. A simulation model for evaluating the efficiency of robot-supported order picking warehouses. The 25th International Symposium on Logistics (ISL 2021), July 2021.
  • Zhang, M., Semar, T., Grosse, E.H., Winkelhaus, S., Glock, C.H., 2021. Mensch-Roboter-Kollaboration in der Kommissionierung. ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, 116 (6). https://doi.org/10.1515/zwf-2021-0107
  • Zhang, M., Winkelhaus, S., Grosse, E.H., 2021. Evaluation of human workload in a hybrid order picking system. 17th IFAC Symposium on Information Control Problems in Manufacturing (INCOM21), June 2021, Budapest, Hungary. https://doi.org/10.1016/j.ifacol.2021.08.053
Würdigungen und Auszeichnungen
2024ISM 2024 - Best Paper Award
2022MIM 2022 - Commended Paper Award
2021INCOM 2021 - Honorable Mention Young Author Award Finalist
2019Studienabschluss-Stipendien für internationale Studierende
2019Schaeffler Top Student
2016Ausgezeichnete Abschlussarbeit der Tongji-Universität