🏥🏭 Hospitals. Factories. Actually have something in common??
Both run like emergency rooms. 🤯
(P.S. Graphic inspired by Turki's wake-up call!)
Every shift, the team just waits for the next machine to crash. When it does, everyone scrambles. Is it electrical? Mechanical? Automation? Meanwhile, parts aren’t ready, and the line is bleeding money.
Turki Albishi (Automation Director at YAT Solution Company) dropped this comparison in a recent fireside chat, and it hits hard.
Most people look at downtime logs, but they miss the hidden costs:
- The Nightmare Loop: The exact same breakdown happens twice because no one had time to find the root cause the first time.
- Bad Data In, Bad Data Out: Two technicians log the identical fault differently, destroying historical data for pattern analysis.
- The Scale Trap: Trying to scale production 5x without changing your maintenance strategy just scales your downtime risk by 5x.
When asked when factories should actually start transitioning to predictive AI, Turki’s answer was brutal: "It had to be yesterday." 💯⚡️
Full article here if anyone wants to go deeper: https://groundup.ai/resources/007-groundwork-wednesdays/
How many of your plants are still stuck in this ER mode? If you actually managed to shift away from ER, what actually was the internal case and how did your team get convinced?