It’s 7:15 on Tuesday morning.  Your technicians are already rolling out with their trucks half-loaded, ready to get to work on some repair and maintenance work.  But something is wrong with the scheduling system. It’s not showing today’s schedule. Every extra minute of delay is blowing up into a...

If you followed global soccer in 2025, it was hard to miss the scrutiny around how the sport is run. Headlines pointed to governance disputes and ticket pricing, but a deeper concern kept resurfacing: fairness and transparency in game scheduling. Debates around fixture congestion, unequal rest periods, and opaque...

3 Real-World Industry Use Case Examples 1. The Ship Builder A little over a year ago, I lost an opportunity to help a shipbuilder shorten the time it takes to deliver ships to the military. The potential ROI was substantial because the core problem, job shop scheduling, is a...

Executive Summary A global manufacturer partnered with SimpleRose to understand how intelligent planning and optimization could improve warehouse efficiency across capacity sizing, slotting, and daily task execution. SimpleRose developed a task-planning engine powered by NVIDIA cuOpt, designed for continuous re-optimization in a live environment. To validate its effectiveness, the POC...

You do! When I asked seven different AI models to solve the same optimization problem, I got seven completely different answers. Every LLM produced something that looked like a model. But when I dug deeper, the differences were striking. Some models were mathematically infeasible. Others ran successfully but gave incorrect...

GPUs have worn many hats. They’ve powered ultra-realistic video games, fueled the cryptocurrency mining boom, and, more recently, trained deep learning models with billions of parameters. But at SimpleRose, we’ve been asking a different question: where can GPUs make a practical difference in mathematical optimization? It turns out the...

The Rose solver is like Chef Indeterminato making a peanut butter and jelly sandwich. If the peanut butter jar is in use, Chef Indeterminato doesn’t wait around—they spread the jelly first, then grab the peanut butter when it’s free. The sandwich gets made with no wasted time. Many other...

Any company exploring an optimization or APS (advanced planning and scheduling) project quickly runs into the same problem: you need an ROI projection to get budget approval, but can you really know the real ROI before the system is actually built? Unfortunately this puts you in a Catch-22. This is...

In Part 1, we looked at why GPUs are so well suited to hard, time-sensitive optimization problems. But there’s an important caveat: not every solver can simply bolt a GPU on and expect breakthrough results. In Jensen Huang’s recent keynote at GTC Paris, he stated at the start of...

Note: This article is the first in a four-part series on GPU acceleration for optimization. We’ll begin here at a high level, with a focus on why GPUs matter for business decision-making and where they can make the most impact. Later posts will go progressively deeper into the math,...