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Technische Universität München

Shuyang Zhang, M.Sc.

Contact

Room: 1561
shuyang.zhang(at)tum.de

 

Office Hours

by appointment

Research interests

  • Data-driven optimization for logistics planning
  • Vehicle routing problem
  • Auto-production planning
  • Inventory control
  • Mixed-Integer programming
  • Machine learning

Academic Career and Positions held to date

  • Since 09/2022: Ph.D. at School of Economics and Management, Tongji University, Shanghai, China
  • Since 09/2025: Visiting Researcher at the Chair of Logistics and Supply Chain Management (Prof. Dr. Stefan Minner), Technical University of Munich

Publications

  • Shuyang, Z., Yashu, Y., & Jiazhen, H. (2025). Dynamic order forecast sharing with dual shipping options under quantity flexibility contract. International Journal of Production Research, 63(15), 5782-5811. https://doi.org/10.1080/00207543.2025.2462997

Education

  • 2017 - 2020: Master of Management Science and Engineering, Jiangnan University, China
  • 2013 - 2017: Bachelor of Engineering, Yantai University, China

Practical Experience

  • 04/2019 - 02/2025: Bosch Wuxi (RBCD) 
    Intern → Procurement Planner → Senior Procurement Planner → Strategy Intern
    • Auto Bluesheet: Developed an MIP optimization model for overseas transportation. Established as the standard tool for managing over 10M CNY in annual special freight.
    • Inventory Simulator: Designed an algorithm for forecasting, target setting, and simulating inventory based on ERP parameters. Adopted as the standard tool for managing ~700M CNY in inventory.
    • Bosch Advanced Vehicle Routing and Scheduling System: Built a column-generation-and-heuristic-based MIP model to optimize inbound and outbound material flows. Reduced logistics costs by consolidating LTL shipments into designed FTL lines for domestic transportation.
    • Resource-Constrained Material Requirement Planning (RC-MRP): Introduced material availability and machine capacity constraints into traditional MRP logics using an MIP model. Automated production planning for 4 main value streams in two production sites, with the long-term goal of synchronizing information flow of customer orders, production plans, and supplier deliveries. 
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