The COVID-19 pandemic has forced public health, supply chain, transportation, government, economic and many other entities to interact in real-time. One of the challenges in large systems interacting in this way is that even tiny errors in one system can cause devastating effects across the entire system chain.
Now, Purdue University innovators have come up with a possible solution: A set of patented algorithms that predict, identify, diagnose, and prevent abnormalities in large and complex systems.
“It has been proven again and again that large and complex systems can and will fail and cause catastrophic impact,” said Shimon Y. Nof, a Purdue professor of industrial engineering and director of Purdue’s PRISM Center. “Our technology digests a large amount of data within and across systems and determines the sequence of resolving interconnected issues to minimize damage, prevent the maximum number of errors and conflicts from occurring, and achieve system objectives through interaction with decision-makers and experts.”