Uta Mohring is an assistant professor at the University of Zurich (Switzerland). She received her doctoral degree from the Karlsruhe Institute of Technology (Germany) in 2022 and spent three years as a postdoctoral researcher abroad: 2 years at the Rotman School of Management, University of Toronto (Canada) and 1 year at the Eindhoven University of Technology (the Netherlands, funded by a Walter Benjamin-Postdoctoral Fellowship of the German Research Foundation DFG).
Her research focuses on prescriptive models for decision-making in service operations, in particular, on-demand transportation, shared mobility, and logistics. Within these fields, she is interested in the design and control of stochastic systems and networks with strategic agents. Her scientific ambition is to make valuable contributions to improving resource efficiency and eco-efficiency of on-demand transportation services and order fulfillment operations in logistics that advance society's transition towards smart cities and a sustainable economy.
In her research, she applies a broad range of mostly quantitative methods from the fields of operations research and business analytics including, specifically, stochastic, game-theoretical, data-driven, and simulation-based modeling and optimization techniques.
She serves as an advisory board member of the German Academic International Network (GAIN).
Her research focuses on prescriptive models for decision-making in service operations, in particular, on-demand transportation, shared mobility, and logistics. Within these fields, she is interested in the design and control of stochastic systems and networks with strategic agents. Her scientific ambition is to make valuable contributions to improving resource efficiency and eco-efficiency of on-demand transportation services and order fulfillment operations in logistics that advance society's transition towards smart cities and a sustainable economy.
In her research, she applies a broad range of mostly quantitative methods from the fields of operations research and business analytics including, specifically, stochastic, game-theoretical, data-driven, and simulation-based modeling and optimization techniques.
She serves as an advisory board member of the German Academic International Network (GAIN).
Techniques/Methodologies (alphabetical order)
Analytics, data-driven modeling, game theory, machine learning, network flow theory, optimization, queueing theory, simulation, statistics, stochastic modeling
Applications (alphabetical order)
E-commerce, last-mile logistics, platform economics, platform operations, retail logistics, revenue management and pricing, shared mobility, sharing economy, smart cities, supply chain management, sustainability, urban logistics, urban mobility, warehouse logistics
E-commerce, last-mile logistics, platform economics, platform operations, retail logistics, revenue management and pricing, shared mobility, sharing economy, smart cities, supply chain management, sustainability, urban logistics, urban mobility, warehouse logistics