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 […]

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 […]

Decision Intelligence: Combating Three (Out of Twenty) AI and Optimization Project Risks

Irv was the first guest on The Decision Intelligence Lab, a podcast hosted by Professor Michael Watson (Northwestern University) and Professor Vijay Mehrotra (University of San Francisco) to “deliver real-world insights for data professionals, business leaders, and anyone seeking to leverage data for smarter decision-making.” Listen to the episode here. Following are lightly edited excerpts. […]

Optimizing in Mongolia and Beyond: an Interview with Bolor Jargalsaikhan

The Optimization Edge: Reinventing Decision Making to Maximize All Your Company’s Assets by Steve Sashihara (available on Amazon Kindle) was translated in 2025 into Mongolian by Dr. Bolor Jargalsaikhan, an optimization practitioner and CEO of Data Deus, based in Ulaanbaatar. View scenes from the launch party here. Bolor kindly answered the following questions.   What […]

A Practitioner’s Thoughts for Advanced Analytics Students

Steve recently gave a guest lecture to Professor Shruti Sharma’s introductory class on optimization for graduate students at the NYU Tandon School of Engineering, in the Technology Management and Innovation Department. Following are lightly edited excerpts. Scalable “Scalable” is something that everyone your age has heard a bunch of times. For my generation and older, it […]

Survey Results Summary: Solvers, Programming and Modeling Languages and More

What optimization solvers, programming and modeling languages do professors, students and industry practitioners use? Do they align? At the INFORMS Annual Meeting in October in Phoenix, Princeton Consultants asked attendees to see what has changed since 2017, the last time we conducted the survey. The findings are summarized as follows: The usage of Gurobi increased. The […]

Doing (a Lot of) Good with (Really) Good OR

At the recent INFORMS Annual Meeting, I had the great pleasure to be a judge for “Doing Good with Good OR,” https://www.informs.org/Recognizing-Excellence/INFORMS-Prizes/Doing-Good-with-Good-OR-Student-Paper-Competition, the student competition that honors projects that greatly impact society. I joined the competition committee this year and will be the co-chair with Dr. Justin Boutilier in 2023. As a global society of […]

Business Problem Framing for AI Projects: Tasks and Techniques

The AI solution development life cycle requires very different activities. INFORMS created a Job Task Analysis through surveys of practitioners for its Certified Analytics Professional (CAP) program. The result of this study defined seven performance domains for analytics practitioners, which I view as key components of the AI solution development life cycle. In the diagram below, […]