Princeton Optimization

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. […]

Innovation at UPS and Throughout Transportation and Logistics

For the Optimization Catalyst podcast (listen here) Steve spoke with Suzay Passari, Head of Innovation and Transportation at UPS, and David O’Keefe, head of Alliances America at Gurobi. Following are lightly edited excerpts. Sunzay noted that UPS, a 118-year-old company, presents unique challenges and opportunities for transformation due to its established legacy in technology, processes, […]

Big Data vs. Little Data: Optimizing with Databricks

At the INFORMS Analytics+ Conference in Indianapolis, Irv presented a workshop along with Siddhesh Pore of Databricks, https://www.databricks.com/. They discussed data-first principles and best practices, data prep and engineering, and optimization integrations on the Databricks platform. Following is an edited excerpt from the Q&A at the end of the program. Audience Member: I enjoyed the […]

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 […]

Optimization Engagements Throughout the Solution Development Lifecycle

When discussing optimization solution development, I often refer to “the journey” from opportunity identification and business problem framing to deployment and solution lifecycle management, and the important steps in between. As a consulting firm, we are engaged by organizations whose in-house teams can be at varying stages of the journey with a given solution. This […]

Overcoming Obstacles to Agile Optimization Solution Development

This follows the previous post on Agile v. Waterfall in Optimization Solution Development. Why don’t all optimization practitioners use Agile? What’s the catch? Let’s consider the challenges and how to overcome them. Decomposing the Model For traditional software development projects like creating a website, Agile is straightforward: you might one week build a new form, […]

Optimizing Fund Selection and Trading for a Structured Finance Software Platform

Leaders of a software platform for structured finance sought assistance in significantly upgrading its optimization features. An important component of the technology portfolio of a global financial analytics provider, the platform is used by issuers, investors, underwriters and other entities to administer, monitor and value collections of securities. Improving the Proof of Concept Initially, the […]

Data-First Development with gurobipy-pandas: Speed, Best Practices and Other Considerations

In a Gurobi webinar on Data-First Optimization Development, Irv discussed the transformative benefits of pandas and best practices using the gurobipy-pandas library, and walked through an example. Following is a lightly edited excerpt from Irv’s presentation and the Q&A with practitioners from around the world.   In emphasizing Data-First optimization development, I have drawn on […]

Advanced Optimization Techniques for Complex Scheduling

Scheduling has for decades been a prime process to optimize. Recently at Princeton Consultants, we are seeing an increasing number of highly complex scheduling problems across industries, perhaps because costs are rising and critical resources are becoming more limited. Executives are looking to maximize efficient utilization of their workforce, equipment, vehicles, and other high-value assets. […]