Asset Disruption Impacts Business
Outages or other operational disruptions in manufacturing, logistics, industrial, transportation, oil & gas, construction, rail, aviation, healthcare or utility industries create margin and revenue pressures within an environment of regulatory constraint. Challenges with managing assets that are diverse, complex, and spread over large geographical areas are coupled with trying to balance spending either too much on preventative maintenance or not enough before corrective maintenance or even a catastrophic failure. Asset tracking and maintenance now require predictive and cognitive capabilities to ensure optimal asset lifecycles and efficient operations that positively impact the bottom line.
Capgemini solution provides quicker response at the edge
Capgemini’s Predictive Asset Maintenance solution addresses these industry issues and intelligently monitors assets, aggregates machine behavior data sent from each asset at the edge using powerful Intel based technology, analyzes it, and recommends precise responses and actions, predicting when a machine or device failure might occur or when maintenance is required.
Predictive Asset Maintenance Delivers Results
Capgemini’s Predictive Asset Maintenance solution with Edge Compute improves production capabilities and extends service life. The solution will help solve future machine issues quickly because each machine is continually monitored. Solution connectivity will also allow deployment of new services by leveraging automatic, ubiquitous and comprehensive reporting, recording and maintaining accurate historical data for machine learning, and process improvement.
Capgemini featured a live demo at Hannover Messe 2019 Intel booth Hall 6, booth D46 April 1-5.
Capgemini demo’d our manufacturing production line defect detection solution featuring Predictive Asset Maintenance with Edge Compute at Hannover Messe 2019.