How data can eliminate inefficiencies
Systems providers have started to crunch the numbers and successfully turn them into valuable insights to create all kinds of efficiencies. With intelligent BHS systems, they are exploring log files, for example, and looking beyond simple statistics to find patterns explaining where, how and why something failed, such as why there are a lot of “no reads” occurring when a particular flight arrives.
Previously, this type of analysis would be a time-consuming, manual task – or maybe the problem wasn’t even seen by the naked eye. But with data and the right filters and algorithms, the system can perform this exploration automatically, enabling airports to react and correct, without waiting for reports. With the quality of data improving all the time, the capabilities for optimising operations will forever keep improving.
Through this high-level digitalisation, airports can continue to run smoothly with leaner O&M staffing, whether they are experiencing peak periods or low periods.
By making the O&M’s work data-driven, resources need only react when digitally predetermined conditions are met, rather than needing to be available all the time. The predictive abilities of data analytics can thus eliminate over-maintenance and unnecessary resource time spent on checking the system even when there are no problems. The system instead starts telling O&M staff the exact action to take and the spare part needed.
And airport management can rely on customised dashboards and reports to forecast and plan, having the ability to build better maintenance schedules and streamline their teams. Furthermore, management will be able to arrange their O&M contracts in a leaner way.