Ground operations in the aeronautics industry
This research contributes to solving the significant problem of data fragmentation in the aviation industry. The importance of this project stems from the industry's need for a comprehensive analytical system that integrates structured and unstructured data from various sources, such as the Incident Data eXchange (IDX) platform, audit program outputs, internal and external factors, events, etc. The objective is to develop a robust system that provides dynamic dashboards tailored to the user’s profile—whether it be an airline, a ground service provider, or another stakeholder. These dashboards are designed to offer real-time insights into each organization’s safety, compliance, and operational status, contextualized by their specific network, operational profiles, applicable hazards, and associated risks.
This research will focus on ground handling in the aviation industry. It will not directly involve flight operations, cabin operations, or aircraft maintenance. Ground handling includes various aspects related to aircraft and passenger operations, ranging from aircraft weight and balance calculations, fueling, de-icing, and ground movement to passenger handling and cargo acceptance. Strict adherence to safety protocols during ground operations is crucial to prevent accidents, comply with regulatory standards, and maintain the desired safety levels across the industry.
The proposed methodology includes three key phases:
- Data Aggregation: Implementing data mining techniques to collect and normalize data from various sources.
- System Development: Designing and testing the analytical system with machine learning algorithms to efficiently process and analyze the available data.
- Dashboard Creation: Developing user-centric dashboards that display actionable insights through interactive and intuitive interfaces.
By achieving these objectives, the research will empower stakeholders to make informed decisions, enhance operational efficiency, and uphold the highest safety standards in the aviation industry. The models will be analyzed and validated using IATA data such as IDX, IFQP, DAQCP, and ISAGO.