We were very happy to work alongside the guys from South East Water’s Leakage and Asset teams at our 3rd Hackday.
Our 3 teams in Data Science, Simulation and Optimisation worked in close collaboration, developing solutions to help improve SEW’s leakage and maintenance activities. The simulation team created an agent-based simulation in AnyLogic, answering the question of how to improve the operational performance of maintenance gangs. The data science team, building on our fault-forecasting work with Rolls Royce, used machine learning to prove the concept of forecasting burst events from flow and asset data. The optimisation team built a mathematical model in AIMMS to optimise the scheduling of maintenance teams.