This year's ORC IAP seminar topic is "Crisis Mitigation and Response"
When: Thursday, 20 Jan, from 10:00 AM - 3:30 PM
Where: Room 32-155
Schedule:
10:00-10:30 Intro and Bagels/Coffee
10:30-11:30 Prof Yossi Sheffi will discuss topics of his choosing in the area of crisis mitigation and response in logistics and transportation systems
11:30-12:30 Diana Michalek will discuss air traffic control under uncertain weather pattens (see below for full summary)
12:30-1:30 Lunch 1:30-2:30 Kathy King will discuss logistics systems for disease pandemics (see below for full summary)
2:30- 3:30 Prof Arnie Barnett will discuss topics of his choosing in the area of crisis mitigation and response in logistics and transportation systems
Topic Summary for Diana Michalek: Convective weather is responsible for large delays and widespread disruptions in the U.S. National Airspace System, especially during summer months. This talk will focus on mathematical models and algorithms whose aim is to improve the efficiency of air traffic flow through terminal airspace (near airports) under stormy (and uncertain) weather conditions. We first introduce a machine learning approach to determine the likelihood that a route will be open in actual weather. The likelihood is then used to optimize air traffic operations, by dynamically moving arrival and departure routes to maximize the expected capacity of the terminal area.
Topic Summary for Kathy King: When a large public health emergency, such as a bioterrorist attack or pandemic, occurs, vaccines, antibiotics, or other countermeasures must be distributed to the affected population rapidly. Federal, state, and local authorities must move the necessary medical supplies from federal stockpiles to state-run warehouses to the clinics that distribute these materials to individuals. I will present a dynamic programming model of this supply chain, discuss several approximate solution techniques for solving the allocation problem efficiently, and show how policy-makers can use these results to improve emergency response plans.
