University of Florida

EIN 4343. Inventory and Supply Chain Systems. (Undergraduate senior core course)

Topics: Demand forecasting, inventory control, EOQ model, news-vendors problem, fundamentals of linear programming and network optimization, classical network flow models, the bullwhip effect, facility location problem, capaciated/uncapacitated lot-sizing problem, supply chain risk management.

University of Michigan

IOE 310: Introduction to Optimization. (Undergraduate core course)

Topics: Matrix operations, basic convex analysis, mathematical modeling with emphasis on linear programming; introduction to integer programming and network optimization; simplex algorithms, engineering applications, relevant software (e.g., Excel solver, AMPL).

IOE 510 (Math 561) (OMS 518): Linear Programming I. (Master-level graduate course)

Topics: Mathematical modeling, linear algebra and matrices, the simplex algorithm, duality theory and optimality conditions, sensitivity analysis, network flows, combinatorial optimization, computations in AMPL, basics in decomposition, integer programming, and stochastic optimization.

IOE 512: Dynamic Programming (Master-level graduate course)

Topics: The techniques of recursive optimization and their use in solving multistage decision problems, applications to various types of problems, including an introduction to Markov decision processes and reinforcement learning.

IOE 591: Special Topic on Transportation System Optimization (Master-level graduate course)

Topics: Examples of smart transportation, mobility and logistic systems and their use in modern society. Introduction of networks and network flow models for these systems and how to optimize resource planning and operational decisions related to smart mobility and transportation. Descriptions of different decision-making models and solution approaches for specific problems related to the use of smart transportation in industry.

IOE 612: Network Flows. (Advanced graduate course)

Topics: Basic graph theories, minimum cost flow, shortest path, minimum spanning tree, maximum flow (minimum cut), network simplex method, network interdiction and its applications in homeland security, social networks, epidemic control.

IOE 691: Stochastic and Robust Optimization (Advanced graduate course)

Co-instruct with Prof. Marina Epelman.

Topics: Sampling methods, stochastic mixed-integer programming models, decomposition methods, large-scale optimization, stochastic dynamic programming, approximation algorithms, (joint) chance-constrained programming, theories and applications of robust optimization, discussions of data driven models and relationship between different stochastic programs.

ENGR 455: Multidisciplinary Project Design. (Undergraduate multidisciplinary course)

• Habitat for Humanity - Disaster and shelter relief in Haiti (2012)
  Co-instruct with Prof. Amy Cohn and James Goebel.
  

  • Topics: This course collaborates with the Habitat for Humanity International, and optimize transitional shelter construction in Haiti. We design an intervention process for an at-scale post-disaster shelter intervention that (a) provides immediate relief in the form of low-cost, easily-produced transitional shelter and (b) integrates seamlessly into an on-going incremental shelter process based on local housing resources, and that leverages and augments livelihoods and micro-entrepreneurship. Course contents include decision tree analysis, supply chain guideline developments based on local inputs and outsourcing risk management.

• Union Pacific - Optimal Utilization and Management of Refrigerated Train Car Fleet (2016)

  • Topics: Union Pacific is the largest rail road in North America moving many different types of cargo using many different types of equipment. Refrigerated cars are particularly expensive assets. Thus, it is desired to use them in an optimal manner, and make sure that they are optimally fueled for transcontinental hauls, taken off-line for timely maintenance, etc. All operations have a cost associated with them. Through the collaboration with Union Pacific, we analyze all facets of the refrigerated train car fleet to optimize efficiency, including total costs and operational modeling.

Outreach Activities

OR/IE Tools for Fighting COVID-19

Power Optimization Game