Arriva CZ implements Stratio to minimise unplanned vehicle downtime and save costs.
Due to the lack of visibility over the condition of vehicles, the planning of servicing schedules are often based on estimations and diagnostic tests performed manually. This results in a higher number of unplanned breakdowns and overall downtime, as well as an inefficient resource allocation.
To achieve the visibility it needed to improve the reliability of the service they offer to passengers, Arriva CZ has shifted to a data-driven approach to maintenance operations and implemented Stratio’s predictive maintenance solution in August 2020. With the Stratio Platform, technicians can monitor buses using sensors and data analysis, reducing breakdowns by being alerted of potential faults before they impact operations.
This proactive approach minimises downtime, optimises resources, lowers costs, and enhances safety. The benefits include cost avoidance, savings, increased maintenance efficiency, and compliance benefits.
Learn from Arriva CZ’s experience by reading our latest case study. Click here to access.
This article was originally published by Stratio.
