Gerhard Hiermann

ORCID: 0000-0003-4685-3298
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About
Contact & Profiles
Research Areas
  • Transportation and Mobility Innovations
  • Vehicle Routing Optimization Methods
  • Electric Vehicles and Infrastructure
  • Transportation Planning and Optimization
  • Advanced Manufacturing and Logistics Optimization
  • Urban and Freight Transport Logistics
  • Scheduling and Timetabling Solutions
  • Constraint Satisfaction and Optimization
  • Biodiesel Production and Applications
  • E-commerce and Technology Innovations
  • Digital Economy and Work Transformation
  • Vehicular Ad Hoc Networks (VANETs)
  • Assembly Line Balancing Optimization
  • Energy Harvesting in Wireless Networks
  • Optimization and Packing Problems
  • Sharing Economy and Platforms

Technical University of Munich
2020-2024

University of Vienna
2018

Vienna University of Economics and Business
2018

Austrian Institute of Technology
2013-2016

TU Wien
2012-2013

Logistic service providers increasingly focus on two-echelon distribution systems to efficiently manage thousands of deliveries in urban environments. Effectively operating such requires designing cost-efficient delivery networks while addressing the challenges increasing e-commerce demands. In this context, we a location routing problem with mobile depots and direct shipment, where decisions involve locating micro-depots, first second-level routes. Our model also incorporates flexibility...

10.48550/arxiv.2502.08403 preprint EN arXiv (Cornell University) 2025-02-12

Electric vehicles are a central component of future mobility systems as they promise to reduce local noxious and fine dust emissions, well CO 2 if fed by clean energy sources. However, the adoption electric so far fell short expectations despite significant governmental incentives. One reason for this slow is drivers’ perceived range anxiety, especially individually owned vehicles. Here, bad user experiences (e.g., conventional cars blocking charging stations or inconsistent real-time...

10.1287/trsc.2021.1102 article EN Transportation Science 2022-02-01

With the advent of self-driving cars, experts envision autonomous mobility-on-demand services in near future to cope with overloaded transportation systems cities worldwide. Efficient operations are imperative unlock such a system's maximum improvement potential. Existing approaches either consider narrow planning horizon or ignore essential characteristics underlying problem. In this paper, we develop an algorithmic framework that allows study very large-scale pickup and delivery routing...

10.48550/arxiv.2405.00230 preprint EN arXiv (Cornell University) 2024-04-30

In autonomous mobility-on-demand systems, effectively managing vehicle flows to mitigate induced congestion and ensure efficient operations is imperative for system performance positive customer experience. Against this background, we study the potential of staggered routing, i.e., purposely delaying trip departures from a perspective, in order reduce while still meeting time windows. We formalize underlying planning problem show how efficiently model it as mixed integer linear program....

10.48550/arxiv.2405.01410 preprint EN arXiv (Cornell University) 2024-05-02

Nowadays, logistics service providers (LSPs) increasingly consider using a crowdsourced workforce on the last mile to fulfill customers’ expectations regarding same-day or on-demand delivery at reduced costs. The workforce’s availability is, however, uncertain. Therefore, LSPs often hire additional fixed employees perform deliveries when of drivers is low. In this context, reliability versus flexibility trade-off which face over longer period, for example, year, remains unstudied. Against...

10.1177/10591478241268602 article EN Production and Operations Management 2024-08-02

Nowadays, logistics service providers (LSPs) increasingly consider using a crowdsourced workforce on the last mile to fulfill customers' expectations regarding same-day or on-demand delivery at reduced costs. The workforce's availability is, however, uncertain. Therefore, LSPs often hire additional fixed employees perform deliveries when of drivers is low. In this context, reliability versus flexibility trade-off which face over longer period, e.g., year, remains unstudied. Against...

10.48550/arxiv.2311.17935 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Electric vehicles are a central component of future mobility systems as they promise to reduce local noxious and fine dust emissions CO2 emissions, if fed by clean energy sources. However, the adoption electric so far fell short expectations despite significant governmental incentives. One reason for this slow is drivers' perceived range anxiety, especially individually owned vehicles. Here, bad user-experiences, e.g., conventional cars blocking charging stations or inconsistent real-time...

10.48550/arxiv.2012.00883 preprint EN other-oa arXiv (Cornell University) 2020-01-01
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