For businesses that are bound by on-time deliveries, sudden vehicle breakdown can shake things up – costing both in terms of exorbitant maintenance repairs and the company’s reputation. What if you could prevent a truck from a potential breakdown by identifying an engine problem even before they occur?
Sounds implausible? – Well, not quite.
The introduction of big data analytics has built the stage for predictive maintenance where fleet managers can leverage the historical and real-time engine data to track potential problems and take necessary actions beforehand.
Predicting failures for better savings
Predictive maintenance is not merely forewarning issues based on the historical data, it includes so much more. The predictive system analyzes the current condition of the vehicle and its previous performance to identify patterns that are plausible and not just guesswork.
Whenever there is a fault in the engine operating condition, an alert is passed in the form of a Diagnostic Trouble Code (DTC). This message is transmitted via the common area network. All the information is then pushed to the vehicle’s computer system or the Electronic Control Unit (ECU). Finally, the particular defect is highlighted in the dashboard light.
However, this process may fail in case the driver notices the dashboard light late or at times, the fault may worsen and lead to a larger problem.
That’s when MoveX steps in.
MoveX intercepts the information passed on the ECU and identifies which faults require the immediate action and accordingly alerts the fleet manager. Based on the severity of the issue, the fleet manager can rectify such errors to avoid costly breakdown.
1. Analyze vehicle health: Leveraging predictive maintenance, fleet managers can evaluate the vehicle condition. Vehicles that are far more fuel-efficient and do not visit the repair shop often can be involved in more jobs to extract its maximum utilization. In other cases, vehicles that are prone to major, costlier repairs can be reviewed for a replacement. This data-driven decision making can help businesses save up to 15 percent of the maintenance costs.
2. Be proactive rather than reactive: Most cases, fleet managers take action only when the issue is far larger. This increases the repair costs and disrupts the operational flow. With predictive maintenance, fleet managers have the opportunity to take necessary action and keep the vehicle in optimum condition.
3. Eliminate preventable breakdown: There are many instances where irregular oil change and improper tire pressure has created a spiral effect that led to an unexpected vehicle breakdown. Predictive maintenance steps into such preventable scenarios to minimize unwanted downtime.
Predictive Maintenance is the best way to stay ahead of unwanted costs and run your operations smoothly. Try MoveX and its intelligent solution to keep your fleets on the road, always.