BG Insight is a data-analytic framework which provides insight for baggage handling professionals working within maintenance, operations and management. It includes predictive maintenance and forecasting through the use of artificial intelligence (AI) and machine learning (ML) technologies.
BG Foresight is a framework that takes data analytics to the prescriptive level by providing baggage handling professionals with recommendations and suggested actions. BG Foresight is based upon AI and decision science.
The Training Simulator provides an efficient tool for training new operators. It can also be used to evaluate scenarios, such as simulating future flight schedule changes or alternative make-up allocations and investigating error scenarios. Layout visualisation displaying system load makes it easy to identify bottlenecks and the statistical reports enable in-depth scenario analysis.
DATA ANALYTICS
Every day, your airport operations generate an ever-increasing amount of data from an expanding number of sources. One operational area in particular that can provide essential information is the baggage handling system. However, the kind of data is only useful if it is analysed and understood properly.
We all know that understanding and working with data can bring value to an operation. In the context of a baggage handling system, this is particularly important given that the key role of the BHS is to achieve the fastest possible connection times, handle increasing numbers of passengers’ bags and ultimately help deliver a superior passenger experience. And all this needs to be achieved in an environment of ever shifting dynamics.
These drivers, which are often linked to internal KPIs, will inevitably put pressure on how to maintain, operate and manage a baggage handling system. With this in mind, BEUMER Group has established a data warehouse to which BHS data are streamed in real time from a growing number of sites. These data provide the foundation for our data analytics solutions.
