Harold and Inge Marcus Department of

Industrial and Manufacturing Engineering

The first Industrial Engineering department in the world


Operations Research

Topics


  • Mathematical Programming and Applied Optimization; Facility Location; Sequential Tolerance Control; Routing and Distribution Problems; Network Optimization (Tom Cavalier)
  • Statistical Quality Control; Design of Experiments; Applied Stochastic Processes; Inventory Control; Engineering Economy (M. Jeya Chandra)
  • Engineering Statistics; Design of Experiments and Response Surface Methods (process optimization); Functional data analysis, statistical shape analysis; Time Series Control ; Bayesian Statistics (Enrique del Castillo)
  • Transportation; Spatial Economics; Algorithmic Game Theory; Network Science; Revenue Management; Dynamic Organization; Dynamic Games (Terry Friesz)
  • Real-time scheduling/control in computer integrated manufacturing systems using simulation as a look-ahead decision-making tool; Studying the relationship between increased manufacturing system flexibility and the production controllability of the system, including development of controllability measures; Analyzing the materials management pipeline in the healthcare industry from manufacturer to distributor to hospital (Catherine Harmonosky)
  • Quality and Productivity Improvement; Statistical Process Control (SPC) and Engineering Process Control (EPC); Engineering Economics and Financial Engineering (Harriet Black Nembhard)
  • Measuring Learning/Forgetting in Manufacturing and Service Industries; Quality and Productivity Improvement Measurement; Data Mining/Knowledge Engineering; On-line Analytical Processing (David Nembhard)
  • Risk Management in Global Supply Chains; Asset Allocation Models and Portfolio Optimization (Financial Engineering); Supply Chain Optimization Models; Multi criteria optimization methods and applications; OR Models for Service Systems (A. Ravi Ravindran)
  • Engineering Design and Design Methodologies; Product Family and Product Platform Design; Statistical Approximations and Design of Experiments; Applied Optimization and Robust Design (Timothy Simpson)
  • Applied Optimization - Network Flow Analysis, Communication Networks Design, Facility Layout and Location; Production Management - Scheduling, Inventory/Materials Management, Material Handling, Supply Chain Management; Applied Probability - Stochastic Modeling and Analysis, Stochastic Petri Nets, Queueing; Machine Vision - Computational Geometry, CAD-based Vision, Image Processing, Pattern Recognition, Shape Matching, Automated Inspection (Jose Ventura)
  • Applications: Decision Making under Uncertainty, Real Options, Financial Engineering, Manufacturing and Service Operations, Information Systems, New Product Development, Energy.; Methodology: Stochastic Models, Optimization, Game Theory (Tao Yao)