Real-time Dashboards for Cargo Analysis for Asia’s leading provider of airport cargo handling in Asia increases cargo handling capacity by 50%, reduces trans-shipment by 37%
Overview.
The client is a leading provider of airport services in cargo handling in Asia and the world's busiest airport for cargo traffic. The $750 million facility is one of the largest and the most sophisticated terminals in the world. The client provides additional air cargo handling capacity and facilities. Their terminal has been designed for an annual air cargo throughput capacity of 2.6 million tonnes and is a common-use facility, open to all airline customers.
The client wanted to improve their data and operational efficiency and reduce manual intervention across business activities, thus improving revenue. They approached Coforge to develop a solution and resolve their business challenges. Coforge designed and developed a system that helped the client achieve their goals.
The client has a massive air cargo throughput capacity and wants to be the most efficient cargo terminal in the region. The biggest challenge to achieving this goal was the manual intervention in various cargo ground handling activities. The client wanted an experienced IT solutions partner to manage their data and make operations efficient thereby, improving revenue
Solution.
Coforge, with our expertise across the airport domain and data analytics, designed and developed a core system using an open, component-based, n-tier architecture, which is highly flexible, scalable, and efficient.
The solution focused on three important pillars to enable real-time insights and enhanced decision-making:
Management – including enterprise data management and data integration
Modernization – of analytics and virtualization
Monetization – of visualization and insights
The solution implemented had innovative modules of planning, SLA, performance and real-time monitoring, truck control system, and integration with the most advanced material handling system. This ensured that the terminal met its program goals of increased efficiency. These modules leveraged historical data and real-time data to derive critical information in the form of dashboards.
The project involved detailed planning to:
Track all operational-critical events by proactively monitoring such events to minimize mishandling and delays
Implement the 'What if?' analysis functionality
Use historical information in the absence of real-time inputs
Ensure SLA compliance
The dashboard allowed monitoring of the following business processes of the warehouse operating system:
Hourly performance and daily accumulative performance, based on multiple parameters like flight time, SHC, etc.
ULD check-in
Cargo build-up
Cargo build-down
Import cargo collection
SLA monitoring was another significant part of the project. The monitoring was required for:
Real-time tracking of processes against predefined SLAs by the airline Resource allocation optimization
Visual alerts to indicate the progress/delays of various processes
The proposed measurement of hourly and accumulative performance of general, perishable, and express cargo is mapped to current performance. In case of SLA mismatch, notifications/alerts for the same are shown on the dashboard.
