Problem Solved: The IISE Podcast

Here's the problem. When companies decide where to build or relocate, that single choice shapes everything that follows, hiring, supply chains, and long term risk. But how does systems thinking play into these complex decisions? On this episode of Problem Solved, we're exploring the science behind one of the biggest decisions a company can make.

When a company wants to build a manufacturing plant or an office or a data center, we help compare those locations using data, real world constraints, and strategy.

Guest Ramya Gowda is a managing director at Newmark, where she helps global companies make billion dollar location decisions.

If they end up being in a location that was not a good fit for them, it can be really expensive to undo that decision.

So how do leaders turn complex data into clear defensible decisions?

Decision models are the analytical foundation of our projects. Hundreds of criteria around utilities, talent availability, cost of living, quality of living, infrastructure, and we also allocate weights to these criteria.

This is industrial and systems engineering at a scale most people never see. Join us for this conversation on Problem Solved.