Case 1 - Addressing the labor shortage with an optimized forecasting tool
An innovative resource planning system based on business data scenarios to help users make the right decisions
Problem
Business decisions lack tools and supporting data
- When flight schedules change, what will be the impact on the (aircraft, staff, equipment)?
- How to ensure staff and equipment resources cope with the growth of the business?
- What is the impact of changes to regulations and rules on operations and resource utilization?
Solution
Strategic decision-making for resource planning in one of the world's busiest airports
- Determine the staff skill training plans based on service standards specific to different airlines
- ldentify the optimal candidate's removal from the service list, during resource shortages
- Determine the number of resources required to accommodate the growing flight volume
- Assess the impact of adding new shifts or rotation patterns into the rostering schedule for efficiency improvement
Case 2 - Achieving auto resource planning & roster optimization
One of the major international ground handlers in Asia
- 1,000+ ground employees
- 400+ vehicles
- 60+ international airlines takeoff and landing in the airport
- 400+ flights
- ~100,000 passengers per day before the pandemic
Business Challenges
- High labor costs and strict flight on time requirements
- Increased complexity due to change in business model. Need to solve for individual shifts rather than teams
- Tasks are to be assigned in compliance of qualifications training and assessment
- Enhance automation and efficiency, to achieve optimization in resource planning, staff rostering and real time deployment
Project Complexity
- 1,000+ employees with 15 positions,72 work types and 129 ranks
- 1,700+ qualifications, most employees with 5+ qualifications
- 8 types of work shift with13,000+ regulatory restrictions on it
- 1,000+ automatic optimization every day
Achievements
Improved labor utilization within ground handling rules, As air travel recovers from the impact of COVID-19, the aviation industry is expecting to increase capacity. The ground handler company plans to improve its ground handling resource management efficiency with data intelligence by adopting digital decision engines from ROls Technology. Over 20 high-level users are editing modules and rules based on roster plans and real-time management engines, By using data on flight dynamics and staff status to tune these rules, this ground handler has improved employees' production time ratio to 85% and expects this to increase by another 2% in the coming months.
Case 3 - Addressing high-volume real-time task coverage and schedule changes
One of the flagship airlines in APAC
- Served ~350,000 flights, ~60 million passengers, ~40 million checked luggage throughout the year before Covid-19
- Manage 7300+ employees and 1100+ ground vehicles
Business Challenges
With the continuous increase in the number of flights at the hub and the continuous expansion of the business, for ground support without automation has become increasingly complex
5 Core Modules cover + 17 Ground operations departments
- Resource planning
- Scheduling management
- Real time management
- Statistical analysis
- Vehicles monitoring
System Covering
- Water area
- Boarding
- Baggage handling
- Shuttle bus
- Aircraft tractor
- Mechanical team
- Boarding
- Crew vehicle
- Check-in service
- Field command
- On-board cleaning
- VIP service
- Stowage arrangements
- Transfer guidance