I believe a change is happening, yet people are still the ones missing out.
During aircraft pushback, the tow tractor suddenly malfunctions, the engine overheats, hydraulic failure hits. The clock starts ticking. But the real issue is that most operations don’t track ****Time to Service**** the time from failure to when the equipment is fully operational again, in a real time, informative way.
The moment the tractor goes down, it’s out of circulation, and the ripple effect begins. Backup equipment is pulled in to fill the gap, creating asset imbalance, inefficiency, and delays.
However, if we start tracking time to service, we can minimize these losses significantly.
Here’s how:
- Accurate Data: By tracking **Time to Service** effectively, we can identify recurring issues, optimize repairs, and reduce unnecessary delays, getting equipment back online faster.
- Streamlined Processes: Data-driven insights allow us to refine repair protocols in real-time, reducing delays and relieving pressure on backup resources. The right process adjustments can make a huge difference in reducing downtime.
- Predictive Maintenance: Combining this data with AI gives us the power to predict when equipment is likely to fail, allowing for proactive maintenance scheduling. This helps avoid emergency situations and keeps operations running smoothly.
- Better Resource Planning: Knowing exactly how long an asset is out of service enables more efficient resource planning, reducing the scramble for backup equipment during critical times and ensuring smoother operations.
Tracking time to service isn’t just about fixing failures, it’s about creating a system that adapts and improves over time. When we focus on this metric, we can increase efficiency, optimize resource use, and reduce pressure on frontline teams.
The real value emerges when we combine human expertise for quick, informed decision-making, with data insights, followed by AI-driven solutions. Not the other way around!
By focusing on time-to-service, we don’t just solve today’s problems, but pave the way for long-term operational improvements, reduced asset counts, and a greener, more efficient system.
Lets talk about how to get the right training and information infront of the people that need it.
