5 papers
Online Rack Placement in Large-Scale Data Centers: Online Sampling Optimization and Deployment
Saumil Baxi, Kayla Cummings, Alexandre Jacquillat +5
This paper optimizes the configuration of large-scale data centers toward cost-effective, reliable and sustainable cloud supply chains. The problem involves placing incoming racks…
OptiMind: Teaching LLMs to Think Like Optimization Experts
Xinzhi Zhang, Zeyi Chen, Humishka Zope +6
Mathematical programming -- the task of expressing operations and decision-making problems in precise mathematical language -- is fundamental across domains, yet remains a skill-in…
Solve Smart, Not Often: Policy Learning for Costly MILP Re-solving
Rui Ai, Hugo De Oliveira Barbalho, Sirui Li +3
A common challenge in real-time operations is deciding whether to re-solve an optimization problem or continue using an existing solution. While modern data platforms may collect i…
Large Language Models for Supply Chain Decisions
David Simchi-Levi, Konstantina Mellou, Ishai Menache +1
Supply Chain Management requires addressing a variety of complex decision-making challenges, from sourcing strategies to planning and execution. Over the last few decades, advances…
Towards Foundation Models for Mixed Integer Linear Programming
Sirui Li, Janardhan Kulkarni, Ishai Menache +2
Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulatio…