Chat with us, powered by LiveChat
Managing the migration to predictive maintenance to maximise asset lifecycles and reduce costs in a more dynamic grid environment
14-16 January 2020 | Berlin, Germany

Programme

Conference Day 1 Tuesday 14 January 2020 Download
08:00Registration and refreshments
08:45Opening address from the Chair
09:00Drivers for Change in Maintenance – assessing the internal and external factors driving the need for change in maintenance departments to better support the needs of the smart utility organisation
09:45Maximising Asset Life Cycles – leveraging sensorisation and novel applications to enable previously inaccessible insights into asset condition and creating more efficient maintenance routines
10:30Morning refreshments, networking and exhibition
11:00Strategic Panel: Creating the business case for Predictive Maintenance – highlighting the benefits, establishing the roadmap, and determining the ROI in the migration toward predictive maintenance
12:30Lunch, networking and exhibition
14:00Creating the Roadmap to Predictive Maintenance – identifying the key milestones and establishing the migration path to full predictive maintenance
  • Santiago Gallego
    Santiago Gallego
    Asset Management 4.0 Global Expert, Boston Consulting Group
14:45Risk Management – mitigating infrastructure and workforce risks using a predictive approach as a tool
15:30Afternoon refreshments, networking and exhibition
16:00Predictive Maintenance System Architecture – establishing a system design that effectively integrates new with legacy technologies and remains flexible to the demands of predictive maintenance and the evolving grid
16:45Sensor Deployment – developing a cost-effective sensorisation roll-out strategy that delivers high levels of data accuracy and ensures grid asset health
  • Sebastien Michelin
    Sebastien Michelin
    Asset Performance Management Solution Architect for Electric Utilities, Schneider Electric
17:30Roundtable Discussion
19:00Networking Reception
20:30End of Day One