Predictive Maintenance Analyses

Atlas Copco understands the potential of data & analytics and wanted to make steps forward into leveraging data smarter. Leveraging the capabilities of Internet of Things and AI, this project had as an objective to support Atlas Copco Rental Services into leveraging data to optimize operations and become more efficient in their maintenance processes.  

The first phase of the predictive maintenance analyses focused looking at the mean-time-between-touchpoints and its drivers in order to understand data and decisions and turn it into additional reliability. The deliverable included a set of delivered data analyses evaluating quality of data available, predictive capability of predictive maintenance and directive recommendations into optimizing maintenance business processes (based on data).