NEXT SEMINAR 2025/2026
In this section, you will find the information (Speaker/Guest, abstract, date & time slot , location, online registration link..) about the upcoming seminar during the year. Everyone is welcome, from within ESSEC as well as from outside.
Dear Professors,
The OMOR Cluster and the CERESSEC Research Center have the pleasure to invite you to our next seminar with
Nandan KUMAR SINGH, FORE School of Management, New Delhi
On Tuesday, October 21 from 12pm to 1pm
in Room : N406
Title : Optimal Strategies for Battery Design for Recyclability under Uncertainty and
Regulation
Abstract :
Electric Vehicle battery regulations mandate the Original Equipment Manufacturers (OEMs) to use certain proportion of rare earth metals in the design of newer batteries. This requires the OEMs to enter into collaboration with the battery recyclers. In this paper, we consider the strategic interactions between OEMs and the battery recyclers from the perspective of designing batteries for recyclability when there is uncertainty around the recycling value. We model the interaction as a Stochastic Stackelberg–Nash Equilibrium problem, where the recycler is the follower and decides on the recycling capacity, while the OEM as the leader, seeks to maximize expected profit by optimizing its investment in designing batteries suitable for recycling. We obtain the following results. First, in the absence of any regulation, we show that a contract can lead to a win-win-win outcome for the OEM, the recycler, and the environment. The total business value also increases compared to the case of no collaboration. Second, we show that under a regulation mandating minimum recycling threshold, the total business value increases even more when the battery recyclability design cost is low. Conversely, when the battery recyclability design is costly and the used battery transaction price is high, stricter regulation always decreases business value. However, when the battery recyclability design is costly and the used battery transaction price is low, total business value becomes a convex unimodal function of regulation, the impact is driven by the quantum of minimum recycling material target by the government. Finally, our analysis suggests that when the mandatory recycling level exceeds a certain threshold, it always benefits the recycler and hurts the OEM suggesting that the government could consider introducing subsidies for OEMs to support battery design for recyclability.
Keywords: Electric Vehicle Battery, Recycling, Regulation, Uncertainty, Stochastic Stackelberg Nash Equilibrium.
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Yasmine BECK - Postdoc at ESSEC
On Wednesday, November 12 from 12pm to 1pm
in Room : N406
Zoom link : https://essec.zoom.us/j/98545803539
Title : A Primer on Bilevel Optimization under Uncertainty and Solution Approaches for Robust Bilevel Problems.
Abstract : Bilevel optimization is a rather young but very active sub-field of mathematical optimization. The main reason is that bilevel optimization problems can serve as a powerful tool for modeling hierarchical decision-making processes, which arise in various real-world applications such as in critical infrastructure defense, transportation, or energy. However, the nested structure of bilevel problems makes them intrinsically hard to solve—even if all parameters of the problem are exactly known. Further challenges arise if problems under uncertainty are considered.
In this talk, we begin with a brief introduction to bilevel optimization under uncertainty. In particular, we highlight that the sources of uncertainty in bilevel optimization are much richer compared to classic, i.e., single-level, optimization because not only the problem data but also the (observation of the) decisions of the two players can be subject to uncertainty.
We then explore how techniques from robust optimization can be used to tackle bilevel problems under uncertainty and discuss some recent algorithmic advances for solving mixed-integer linear Gamma-robust bilevel problems. Finally, we conclude with a brief look at emerging solution approaches for another class of robust bilevel problems.
If you need more information, please contact matta@essec.edu.
Best regards,