26 citations · 31 across the 4 of their papers we have counts for
4 papers
Uncovering expert objectives in production planning via inverse optimization: An industrial case study
Shivi Dixit, Rishabh Gupta, Adam Kelloway +2
Production planning in the manufacturing industry often relies on the use of optimization models, but defining an appropriate objective function can be a challenge. In practice, pl…
An inverse mixed-integer optimization framework for learning interpretable models of expert decision making
Anurag Holani, Rishabh Gupta, John Wassick +1
Understanding how experts make decisions and being able to transfer that knowledge is important, especially in complex engineering applications. It is highly valuable for training…
Future of Supply Chain: Challenges, Trends, and Prospects
Cristiana L. Lara, John Wassick
This paper discusses the broad challenges shared by e-commerce and the process industries operating global supply chains. Specifically, we discuss how process industries and e-comm…
OR-Gym: A Reinforcement Learning Library for Operations Research Problems
Christian D. Hubbs, Hector D. Perez, Owais Sarwar +3
Reinforcement learning (RL) has been widely applied to game-playing and surpassed the best human-level performance in many domains, yet there are few use-cases in industrial or com…