Division of Operations and Logistics

Every organization either manufactures a product, or provides a service, or both. "Operations" refers to the part of the organization that actually produces the product or service, while "logistics" refers to the part of the organization that delivers the product or service to the customer.

The Operations and Logistics Division studies fields such as:

  • Operations management - the study of operations in a manufacturing or service organization
  • Transportation - how physical goods move through a distribution system
  • Distribution planning - designing a logistics network
  • Supply chain management - managing the flows of goods and information between different organizations

We also have strengths in the economic analysis of transportation systems, in formulating and solving models of production and distribution systems, in modeling financial risks, in the methodologies of operations research and management science, and in data analysis.

 

Research Supervisors

Name Research Interests
Gillen, David aviation, airports, ATC, international aviation, urban transportation, supply chain, Transportation studies
Granot, Daniel Game Theory and Application, Discrete Optimization, Operations Management
Granot, Frieda Integer Programming, Network Flows, Combinatorial Optimization, Applications of Operations Research, Applications of Game Theory to Cost Allocation
Huh, Woonghee Tim Inventory control, supply chain management, capacity planning, operations research
Kim, Michael Dynamic Programming, Statistical Learning, Robust Optimization, Exploration vs Exploitation Trade-offs
Krishnan, Harish Incentive distortions in supply chains, Contracts and supply chains, Supply chain management, Operations management
Lindsey, Charles Traffic congestion, Road pricing, Financing transportation infrastructure, Public transit, Advanced traveler information systems, Queuing, Parking policy, Climate change
McCormick, S Thomas Combinatorial optimization, network flows, operations management, computational complexity
Nagarajan, Mahesh Supply chain management, applied game theory, inventory management
Queyranne, Maurice Combinatorial Optimization, Production Planning and Scheduling, Inventory Management
Ryan, Christopher
Shechter, Steven Opertaions and logistics
Zhang, Hao Stochastic games, dynamic principal-agent problems; Information asymmetry and incentive problems in operations management; Supply-chain management, revenue management; Partially observable Markov decision processes, machine learning, reinforcement learning
Zhang, Anming transport economics and policy; air cargo logistics, Transport economics and policy, air cargo logistics, industrial organization