Smarter staffing through automatic insights into unusual logged hours

GVB carries out extensive maintenance work on trams, buses and metro trains. Planning this work is challenging and time-consuming, with factors such as external staff, leave days and different types of scheduled work to consider. The Rail Materiaal department wants insight into unusual logged hours (anomalies). Our anomaly detection model now provides project-level insights into productivity, the completeness of time records, overtime and sickness absence. This helps GVB plan each project more effectively and improve staffing levels.