The INISTA Conference was held in Sofia, Bulgaria, in June 2019, and COMPOSITION presented an “Intelligent Information Management System for Decision Support: Application in a lift manufacturer’s shop floor”.
The article focused on predictive maintenance based on live and historical data gathered at KLEEMANN Lifts in Kilkis, Greece. The data are analysed in the Simulation and Forecasting Tool developed by CERTH and sent to the Decision Support System (DSS) developed by Atlantis. Here, the data are evaluated against rules set by KLEEMANN, and notifications are created when the system is not performing optimally. ”Using a DSS where the thresholds and the operational standards are set by us helped us to improve our operational maintenance and prevent malfunctions and breakdowns on our machines” explains Theofilos Mastos from KLEEMANN