COURSE

INTR5400

Logistics Systems Analysis: Modeling, Optimization and Algorithms

Systems Hub / Intelligent Transportation · 3 Credits

This postgraduate level course aims to introduce practical modeling methods based on theories and principles in applied mathematics, operations research, and management science for solving the planning, design and evaluation of complex transportation systems, including both passenger logistics and freight distribution systems. This course will cover the three major aspects: inventory management, network design and flow optimization, as well as facility location in a logistical system. It introduces fundamental concepts, model formulation, optimization techniques, as well as solution algorithms (including stochastic process, network/graphic representation, classic OR problems, formulation of optimization problems, exact solution methods, meta heuristics, continuous approximation, etc.). It will also cover practical solution approaches that reduce cumbersome details of transportation systems into models with a manageable number of parameters and decision variables. A variety of perspectives and techniques to both classic problems and recent advances will be presented along with ways to compare their performance.