Modern manufacturing’s triple play: digital twins, analytics and IoT
SAS Content team
SAS. Originally published in The Economist
This is an opinion piece by the SAS content team featuring quotes from Bryan Saunders, the principal industry consultant for SAS’s global IoT practice. It also quotes quantified results that are not reference-linked—for unplanned maintenance and Bosch production lines. Also benefits without quantification for GE turbines, and Bosch.
Why it’s relevant to Nextspace
Whilst the article does not reference back to source data, it’s still useful for Nextspace Partners to be able to take on board several concepts and attributed benefits in this article.
- The difference between data and actionable information. Digital twins should inherently focus on informing action that improves the real world.
- The use of real-time anomaly detection and machine health assessments to reduced unplanned maintenance by up to 80%.
- The use of micro-robots with cameras to find cracks in working engines, and drones to inspect for cracks and corrosion in oil & gas stacks (GE).
- Cars as twins that can be updated remotely and collect data for centralised analysis (Tesla).
Sensors comparing a real factory operation against a twin optimised for 100% efficiency, enabling a 25% improvement in output (Bosch).
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Dr Michael Grieves
IOT Solutions World Congress 2023
The value of Digital Twins can only be realized if Digital Twins and their virtual environment contain the same data and resulting information as their corresponding Physical Twins and real-world environment. This means that the need for more extensive, faster, and richer sensing of the physical world will dramatically increase as valuable use cases proliferate. In addition, we will evolve from working in physical or virtual environments to integrating and working simultaneously in both environments. Dr. Grieves discusses his views on the opportunities and issues of this evolution.