Princeton Optimization

Making Optimization Work in Production: Lessons from Large-Scale Applications

Following are lightly edited excerpts from Rob’s recent webinar (watch the recording here). An optimization model can perform beautifully in development but struggle or fail when it reaches production. The reason is straightforward: production changes the rules. A prototype often operates against a controlled dataset and can be given considerable time to find an answer. […]

Exploring the Emergence of GPUs and PDHG in Industrial Strength Optimization with NVIDIA, Gurobi and FICO

At the INFORMS Analytics+ Conference in April, I moderated a panel on GPUs, the Primal-Dual Hybrid Gradient (PDHG) and “the ongoing evolution of Mixed Integer Linear Programming (MILP) and an investigation into the potential value of each to solve larger and more complex models.” I was asked because of my research at Stanford University and […]

Tools, Training and Testing: Optimizers Discuss AI Precision Agents

Following are lightly edited questions and answers from Patricia’s presentation on Orchestrating Optimization with Precision Agents at the INFORMS Analytics+ conference and in a subsequent webinar (watch the recording here and see Patricia’s previous blog post for reference.) Question: What is the difference between an agent and a tool? Patricia: The agent is the decision […]

From Monolithic Models to Decision Ecosystems: Orchestrating Optimization with AI Precision Agents

This post is based on Patricia’s presentation at the INFORMS Analytics+ Conference and in a subsequent webinar (watch the recording here). For decades, enterprise optimization systems have been built around a familiar assumption: if you can centralize enough data, encode enough constraints, and build a sufficiently sophisticated model, you can produce better operational decisions. That […]

AI in Rail: From Experimentation to Strategic Imperative

Built on precision, safety, and long investment cycles, the rail industry has historically adopted innovation deliberately rather than aggressively. Significantly, AI is reshaping that pattern. Insights from the first two years (2024 and 2025) of the AI In Rail survey, conducted by Princeton Consultants with the Northwestern University Transportation Center (NUTC), point to a clear […]

Optimization: Behind the Scenes But Essential

In September Irv was interviewed for the “Global Visionaries” podcast by Carlos Ponce. Listen to the full episode here: https://www.advancio.com/advancio-talks-season-2-episode10-with-irv-lustig/. Following are lightly edited excerpts. Carlos: Tell us about Princeton Consultants. What is your value proposition? What problems do you solve? Irv: I joined Princeton to help grow the optimization part of the business. We […]

Working with a Fantastic Toolkit: Q&A About Solution Development

In October I conducted a webinar, “Optimization Solution Development & Deployment, a Framework for Success” (watch it here). Following are lightly edited excerpts from the Q&A with the attendees. Some of the questions relate to the INFORMS Analytics Framework, which is described here. Question: What value does Princeton find in building optimization and analytics solutions […]

Streamlining Airline Operations with Optimization and AI

For the Optimization Catalyst podcast (listen here) Steve spoke with Solange Gelman, Director of IT Application Development and Airport Operations Technologies at United Airlines, and David O’Keefe, head of Alliances America at Gurobi. Following are lightly edited excerpts. David: Solange, you oversee both passenger-facing and operational technologies at United Airlines. Could you give us a […]