Scheduler AI
Scheduler AI tackles the complexities of coordinating the parts, people and equipment involved in carrying out scheduled and unscheduled aircraft maintenance. It boosts technician productivity and leads to higher fleet uptime and lower repair costs.
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What’s the Problem:
Aviation fleets face numerous challenges in maintenance scheduling, including technician shortages, high demand for critical repairs, and unpredictable maintenance needs.
Given all of the variables, it is hardly surprising that maintenance managers struggle to allocate resources effectively, it’s an impossible task. But these inefficiencies inevitably mean unnecessary downtime and inflated costs which directly impact profitability and aircraft availability.
Solution Overview:
Maintenance Scheduler AI utilizes advanced algorithms, feeds from other schedules, technician skill sets, upcoming maintenance needs and more to orchestrate the best possible maintenance schedules which maximize efficiency and minimize downtime. Here’s how:
Solution Benefits:
Improved Technician Productivity:
Aligning tasks to the best-fit technicians can improve output up to 30%.
Reduced Unplanned Downtime:
Predictive maintenance decreases unscheduled maintenance event as much as 20%.
Availability without Overstocking:
Forecast repair demand ensures critical parts are on-hand without overstocking.
Competitive Intelligence:
Arms you with industry-wide competitive intel others don’t have.
How it works:
Maintenance scheduler AI combines data from numerous sources including airline flight schedules, technician skill profiles, historical maintenance records, real-time component monitoring, and external safety bulletins, ADs etc.
It continually analyzes and adjusts schedules, in order to juggle resources and demands in different locations around the world and coordinate optimal maintenance schedules, ensuring tasks are completed on time and adjustments are made when they are not.
Planners stay in control through custom Dashboards that provide real-time insights into upcoming maintenance needs, hiccups, technician assignments, and component availability.
- Skill-Based Task Assignment: Automatically matches tasks to mechanics based on skill level, ensuring the right expertise is applied to each job, reducing repair times.
- Predictive Maintenance: Integrates external data, such as Airworthiness Directives and Service Bulletins, to forecast potential component failures and schedule preemptive maintenance before breakdowns occur.
- Demand Forecasting: Predicts the demand for repairs using historical data, to help ensure the required parts are on-hand when needed, and minimize risk of AOG.
Deployment Options:
Maintenance Scheduler AI can be deployed stand alone or integrated with Inventory AI.
When combined with Inventory AI it has even greater visibility of the parts that will be or may be required for upcoming aircraft service, which further reduces the risk of delays, improves turnaround time and customer satisfaction.
Explore how you could measurably improve TAT and save a fortune.