Argonne National Laboratory

Upcoming Events

Robust Optimization and Its Application to Vehicle Routing Problems Under Uncertainty

MCS Seminar
Anirudh Subramanyan, Carnegie Mellon University
February 15, 2018 10:00AM to 11:00PM
Building 240, Room 1404

Abstract: Robust optimization is a mathematical programming-based approach to decision-making under uncertainty that is receiving wide attention because of its modeling power, computational tractability, and rich theoretical properties. In this talk, we will introduce the robust optimization concept and present some of our recent theoretical and algorithmic contributions to extend its applicability toward two-stage (dynamic) decision-making problems. We will then present its application in addressing the solution of some fundamental "vehicle routing" problems that arise in the context of distribution operations in industrial and commercial supply chains. Specifically, we will present models and solution algorithms for the tactical planning of multiperiod operations under customer order uncertainty, and (time permitting) for the operational routing of large-scale vehicle fleets under demand uncertainty.

BlueJeans Meeting
Meeting ID: 697 248 845
Participant Passcode: 3841