At this major airport, new flights schedules and security technology had transformed patterns of demand and rendered existing security rosters unfit for purpose. The existing roster agreement was expiring, presenting an opportunity to re-design staffing.
An Excel model that forecasts security workload based on flight schedules, taking account of operational demand drivers such as images per passenger and maximum throughput rate.
A planning tool that overlays shift cover onto the demand profile, allowing different combinations of shifts, with varying start times and durations, to be evaluated.
A roster design tool that allocates shifts and rest days across days and weeks and evaluates each solution against criteria including cost and number of weekends off in a rotation.
Supplementary analytics to refine the accuracy of operational assumptions, including a 12 months profile of how trays per passengers varies over the day, week and year.
Features and Benefits
By harnessing a large volume of previously unused data, the new models provide resourcing plans that are calibrated much more precisely to the variabilities in operational demand.
The granularity of the models allows very quick assessment of the impact of changes, such as how changes to the x-ray conveyor belt speed affects passenger throughput.
Advanced visualisation in the shift planning and roster evaluation tools allows managers and staff to grasp the implications of alternative roster solutions and builds trust.
The resulting roster solution was successfully implemented and the security operation has not incurred queuing performance penalties for two successive years.