- An Adaptive Large Neighborhood Search Algorithm for Two-Echelon Location Routing Problem with Mobile Depots and Time Synchronization. (Vortrag / OR Conference 2023, Hamburg, Germany) 2023 mehr…
- Staggered Routing in Autonomous Mobility-on-Demand Systems. (Vortrag / TSL Conference 2023, Chicago, Illinois, USA) 2023 mehr…
- Strategic Workforce Planning in Crowdsourced Delivery with Hybrid Driver Fleets. 2023, mehr…
- Day-Ahead Planning in Heterogeneous Two-Tier City Logistics: An Iterative Filtering Algorithm. (Vortrag / EURO 2022, Finland) 2022 mehr…
- Staggered Routing in Autonomous Mobility on Demand Systems. (Vortrag / EURO 2022, Finland) 2022 mehr…
- A Decomposition-based Hybrid Metaheuristic for Large Scale Pickup and Delivery Problems with Time Windows. (Vortrag / EURO 2022, Finland) 2022 mehr…
- On the Design of Crowdsourced Delivery Fleets: Strategic Decisions and Operational Implications. (Vortrag / TRISTAN XI Conference, Mauritius) 2022 mehr…
- Electric Vehicle Charging Station Search in Stochastic Environments. Transportation Science, 2022 mehr…
- On The Impact Of City Freighters In Multi-echelon City Logistics. (Vortrag / INFORMS Annual Meeting 2021, Anaheim, USA) 2021 mehr…
- A Polynomial-Time Algorithm for User-Based Relocation in Free-Floating Car Sharing Systems. Transportation Research Part B: Methodological 143, 2021, 65-85 mehr…
- Impact of City Center Restriction Policies for Sustainable City Logistics. (Vortrag / International Annual Conference of the German OR Society 2019, Dresden, Germany) 2019 mehr…
- Restriction Policies for Sustainable City Logistics. 2019, mehr…
- Routing a Mix of Conventional, Plug-In Hybrid, and Electric Vehicles. European Journal of Operational Research 272 (1), 2019, 235-248 mehr…
- The Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows and Recharging Stations. European Journal of Operational Research 252 (3), 2016, 995-1018 mehr…
Gerhard Hiermann
Contact
Short Biography
Gerhard Hiermann is a research associate at the Professorship of Business Analytics & Intelligent Systems. Before joining TUM, he was working as a research fellow at the Austrian Institute of Technology in Vienna and as an entrepreneur in a software development agency. Gerhard did his Ph.D. studies in logistics and operations management at the University of Vienna until 2019. His expertise lies in the field of operations research, especially in metaheuristics and dynamic programming applied to transportation and scheduling problems. With a background in computer science (software engineering), Gerhard's research interest also includes efficient design and implementation of operations research methods.
Apart from work, Gerhard enjoys spending time with his wife and kid, playing board- or videogames, and codes for fun.
Research Interests
- Sustainable City Logistics
- Production Planning
- Metaheuristics
- Hybrid Methods