Digital Twins: The Supply Chain’s New Weapon

▤ Summary

From the Suez Canal crisis, cargo ships sitting off the coast of California, the China Power Crunch and more, organizations continue to be affected by everything from production constraints to item availability. Through artificial intelligence (AI)/machine learning (ML)-powered simulations and parallel, real-time software agents or “watchers,” digital twins can help companies predict issues before they unravel and recommend solutions to address potential problems. Digital twin models capture and analyze data in a way that accurately depicts the physical world and allow organizations to simulate conditions, compare scenarios, explore what-ifs and mirror operations in real time. Digital twins can reduce potential defects during these stages by allowing engineers to spot and adjust for flaws in a virtual environment before anything is implemented in the real world. Given the bottlenecks, disruptions in production, and inventory delays currently evident in the global supply chain, digital twin “watchers” that operate in real-time are critical to reducing the stresses that these issues place on the system.

▦ Linked Companies

Oracle

$1B+