June 28, 2022
11 AM - 1 PM

ORMS Seminar: "Asymmetric Stochastic Shortest-Path Interdiction Favoring the Evader"

MORSC is proud to announce the first in-person event in a while.

We are hosting Dr. J. Cole Smith for a speech titled "Asymmetric Stochastic Shortest-Path Interdiction Favoring the Evader". After the seminar, please join us in celebrating the sixth anniversary of MORSC with a complimentary networking lunch

The event will take place in seminar room EV 2.260 in Gina Cody School (1515 Rue St-Catherine O) at Concordia University on Tuesday, June 28th, 2022 at 11 AM - 1 PM

The agenda is as follows:

11:00 AM - Seminar

12:00 PM - Cake

12:15 PM - Break

12:30 PM - Networking Lunch


This work was completed with Dr. Di Nguyen, who is beginning her career as a professor at University College Dublin. We discuss a two-stage shortest-path interdiction problem between an interdictor and an evader, in which the cost for an evader to use each arc is given by the arc’s base cost plus an additional cost if the arc is attacked by the interdictor. The interdictor acts first to attack a subset of arcs, and then the evader traverses the network using a shortest path. In the problem we study, the interdictor does not know the exact value of each base cost, but instead only knows the (nonnegative uniform) distributions of each arc’s base cost. The evader observes both the subset of arcs attacked by the interdictor and the true base cost values before traversing the network, and is thus at an advantage. The interdictor seeks to maximize evader’s shortest-path costs, but the choice of objective is a key consideration. We examine ideas underscoring how the interdictor could maximize the expected objective that an evader will incur, and then more generally explore the maximization of the evader’s conditional value-at-risk, given some specified risk parameter.

Bio sketch

Dr. J. Cole Smith is Dean of the College of Engineering and Computer Science at Syracuse University. Prior to that role, he served as an Associate Provost for Academic Initiatives and as Department Chair of Industrial Engineering at Clemson University. His research regards mathematical optimization models and algorithms, especially those arising in combinatorial optimization. Dr. Smith’s awards include the Young Investigator Award from the ONR, the Hamid K. Elden Outstanding Young Industrial Engineer in Education award, the Operations Research Division Teaching Award, the 2014 Glover-Klingman prize for best paper in Networks, and the best paper award from IIE Transactions in 2007. He became a Fellow of IISE in 2018, and serves as the INFORMS Vice President of Publications.

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May 27, 2022
11 AM - 12 PM

ORMS Workshop: "Branch-and-Benders Cut"

MORSC hosts a special guest speaker. Dr. Jim Luedtke will give a talk on the branch-and-benders cut method on Friday, May 27th, 2022 at 11 AM on Zoom

Dr. Jim Luedtke is a professor and Associate Chair of Graduate Affairs at the University of Wisconsin-Madison. He received his Ph.D. in Industrial and Systems Engineering at the Georgia Institute of Technology in 2007. He has been awarded the INFORMS Optimization Society Prize for Young Researchers in 2013. His research interests are mixed-integer optimization, stochastic optimization with risk constraints, and applications of optimization.

April 6, 2022
11 AM - 12 PM

ORMS Seminar: "Labor and Supply Chain Networks"

About the talk

"The COVID-19 pandemic has dramatically illustrated the importance of labor in supply chain networks in numerous economic sectors, from agriculture to healthcare. In this talk, I will discuss our research on the inclusion on labor in supply chains both in optimization and game theory frameworks to elucidate the impacts of disruptions of labor in terms of availability as well as productivity on product flows, prices, as well as the profits of firms. I will also highlight what can be done to ameliorate negative impacts and will discuss the power of setting appropriate wages on supply chain links from production and transportation to storage and the ultimate distribution to points of demand. The use of international migrants to alleviate shortages will also be noted as well as the impacts of the war on Ukraine on global supply chains. I will conclude with some of our experiences in influencing policy in the pandemic."

About the speaker

Dr. Anna Nagurney is the Eugene M. Isenberg Chair in Integrative Studies and was appointed to this endowed chaired professorship in the Department of Operations and Information Management in the Isenberg School of Management at the University of Massachusetts Amherst on April 14, 2021. Prior to that, she was the John F. Smith Memorial Professor of Operations Management, since 1998. She is also the Founding Director of the Virtual Center for Supernetworks and the Supernetworks Laboratory for Computation and Visualization at UMass Amherst. She is an Affiliated Faculty Member of the Department of Civil and Environmental Engineering and the Department of Mechanical and Industrial Engineering at UMass Amherst. She received her AB, ScB, ScM, and Ph.D. degrees from Brown University in Providence, Rhode Island. She devotes her career to education and research that combines operations research/management science, engineering, and economics. Her focus is on the applied and theoretical aspects of network systems, particularly in the areas of transportation and logistics, critical infrastructure, and in economics and finance.

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Feb 25, 2022
12 PM - 1 PM

ORMS Seminar: "Optimizing with Python: The Pyomo Approach"

MORSC invites everyone to the workshop by a Concordia MIE Ph.D. alumnus, Dr. Carlos Zetina. The free online event will take place at 12 PM on Friday, February 25th, 2022 on Zoom. The event registration is mandatory to ensure everyone receives the repository.

Dr. Zetina received his Ph.D. in Industrial Engineering from Concordia University in 2018. He is an AI developer, researcher, and strategist with over seven years of experience building optimization and machine learning software. Currently, he is a senior data scientist at IVADO Labs, Montreal. In this talk, he will cover Python and optimization solvers.

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