Dr. Uta Mohring is a postdoctoral researcher at the Rotman School of Management, University of Toronto, Canada. She received her doctoral degree from the Karlsruhe Institute of Technology (KIT), Germany, in 2022.
Her research is at the interface between operations management, industrial engineering, data and computer science and focuses on prescriptive models for decision-making in logistics, manufacturing, supply chain and service operations management. Within these fields, her research interests are specifically on spatial and temporal resource synchronization and allocation problems under uncertainty, innovative platform-based business models, and sharing economy applications, motivated by the ambition to create innovative concepts for sustainable and effective design and control of logistics, manufacturing, supply chains, and urban mobility.
In her research, she applies a broad range of mostly quantitative methods from the fields of operations research, management science, and computer science including, specifically, stochastic, data-driven, game-theoretical, and simulation-based modeling and optimization techniques.
Her profile is distinguished by her substantial international research experience and network, her interdisciplinary research between management science, industrial engineering, and computer science, and her strong experience in third-party funding.
Her research is at the interface between operations management, industrial engineering, data and computer science and focuses on prescriptive models for decision-making in logistics, manufacturing, supply chain and service operations management. Within these fields, her research interests are specifically on spatial and temporal resource synchronization and allocation problems under uncertainty, innovative platform-based business models, and sharing economy applications, motivated by the ambition to create innovative concepts for sustainable and effective design and control of logistics, manufacturing, supply chains, and urban mobility.
In her research, she applies a broad range of mostly quantitative methods from the fields of operations research, management science, and computer science including, specifically, stochastic, data-driven, game-theoretical, and simulation-based modeling and optimization techniques.
Her profile is distinguished by her substantial international research experience and network, her interdisciplinary research between management science, industrial engineering, and computer science, and her strong experience in third-party funding.
Techniques/Methodologies (alphabetical order)
Conceptual modeling, data analytics, data-driven modeling, game theory, machine learning, operations research, optimization, queueing theory, simulation, stochastic modeling
Applications (alphabetical order)
Circular economy, demand management, e-commerce, last-mile logistics, manufacturing, material handling, platform economics, production logistics, retail logistics, revenue management and pricing, shared mobility, sharing economy, supply chain management, sustainability, urban logistics, urban mobility, warehouse operations
Circular economy, demand management, e-commerce, last-mile logistics, manufacturing, material handling, platform economics, production logistics, retail logistics, revenue management and pricing, shared mobility, sharing economy, supply chain management, sustainability, urban logistics, urban mobility, warehouse operations
