Fleet maintenance is how fleet operators and other organizations can ensure the vehicles they depend on to deliver products and services are available and operational.
At its core, fleet maintenance entails inspections, preventive care, repairs and parts management. Good fleet maintenance often requires a comprehensive fleet maintenance management process to maximize operations and prioritize driver safety.
The fleet maintenance process is crucial for an operation aiming to keep vehicles on the road, mitigate downtime and maintain driver safety.
Fleet maintenance is often mistaken for fleet management or fleet maintenance management. These terms are used interchangeably but serve different functions.
Organizations that depend on a fleet need both a macro and a micro view of each vehicle’s status. This visibility allows them to accurately plan their services based on which vehicles are operational, which require emergency repairs and which ones need to be replaced.
Increasingly, companies are choosing to run their fleets on real-time fleet maintenance software, such as a computerized maintenance management system (CMMS). This software can automate both a 10,000-foot and a more granular view of the availability of their fleet at any time, regardless of fleet size. This process keeps a clear focus on maintenance services and operational costs.
A comprehensive fleet maintenance program equips organizations with tools to address regulatory compliance, extend the life of automotive vehicles through preventive maintenance, monitor equipment status and improve parts and inventory management.
Stay up to date on the most important—and intriguing—industry trends on AI, automation, data and beyond with the Think Newsletter, delivered twice weekly. See the IBM Privacy Statement.
The fleet maintenance process is evolving, and newer, proactive approaches are gaining traction within operations.
Fleet maintenance typically employs a preventive maintenance approach to handle routine maintenance tasks. Preventive maintenance is a proactive approach to maintenance that employs scheduled, routine upkeep performed on equipment or vehicles at regular intervals to prevent breakdowns before they occur.
It’s viewed as a type of planned maintenance, and in fleet maintenance, it uses historical logs, manufacturer guidelines and odometer readings to schedule routine inspections.
However, predictive maintenance is condition-driven, meaning it uses operational data and condition monitoring (CM) for anomaly detection. A predictive maintenance approach uses fleet maintenance data to make proactive decisions before issues arise.
Predictive maintenance relies on artificial intelligence (AI) and the Internet of Things (IoT) to detect early warning signs and help fleet teams identify patterns in their data. The goal is to predict when assets are likely to fail and take corrective action in advance.
This approach is becoming more significant as autonomous vehicles (AVs) become more popular among fleets. Self-driving systems rely on complex hardware and go beyond the regular mechanical care of a traditional vehicle.
Increasingly, fleet maintenance depends on both preventive and predictive maintenance. According to industry research from Fleet Rabbit, preventive-only fleets face 30–40% more unplanned downtime than the ones that use a data-driven, predictive approach. Downtime caused by reactive maintenance is unacceptable as the freight landscape gets more complex, with tighter delivery windows, driver shortages and rising fuel costs.
Predictive maintenance software uses artificial intelligence (AI) and machine learning (ML) for continuous fleet maintenance. A company should implement a basic preventive maintenance schedule before deploying advanced predictive maintenance technology. Using both approaches can maximize both uptime and budget.
Human mechanics who perform inspections and track vehicle lifecycles are the ones who primarily handle the fleet’s maintenance process. The following are common elements found in many approaches to fleet maintenance:
Today, advanced fleet management solutions and metrics have simplified fleet maintenance. The right software streamlines workflows by using artificial intelligence (AI) and other advanced technologies to more accurately assess the condition of fleet vehicles and help ensure maximum uptime:
There are several fleet maintenance key performance indicators (KPIs) to consider when tracking vehicle performance, fuel efficiency, safety and cost controls:
Fleet maintenance offers several key benefits to fleet operators and organizations, providing a competitive advantage over those using more manual processes.
A poor vehicle inspection can ground vehicles, even if they seem to “work fine.” No business benefits from removing fleet vehicles from circulation because they failed inspections.
Preventive and predictive maintenance strategies help keep vehicles on the road longer by preemptively alerting fleet managers to necessary repairs and automatically notifying them when maintenance is needed.
Regularly inspecting and repairing vehicles reduces the risk of road accidents and protects drivers. Fleet maintenance teams use real-time data and dashboards to track inspection timelines and repair history.
Optimally running fleet services—with more vehicles in service and fewer breakdowns or downtime—means providing more on-time deliveries and services. This approach can lead to higher revenues, lower repair costs and a more competitive total cost of ownership (TCO).
Well-oiled fleet operations increase vehicle uptime, extending asset life and maximizing the overall vehicle lifespan.
While the positives of a fleet maintenance system significantly outweigh the negatives, there are some issues any organization should consider.
A significant problem for fleet maintenance is controlling costs when operations are disrupted. A mechanical failure can halt service and cost thousands in missed or delayed deliveries.
The solution is to shift to a preventive and predictive maintenance strategy that uses telematic platforms that analyze diagnostic codes in real-time.
A separate challenge, often outside of the fleet manager’s control, is sourcing essential assets and parts. Supply chains are unpredictable and backordered components leave mechanics waiting for days, weeks or even months.
The solution is to proactively manage parts inventory to help ensure maintenance teams don’t have to stop what they’re doing, causing unnecessary downtime.
Fleet managers are overseeing both legacy internal combustion engines (ICEs) and electric vehicles (EVs) powered by batteries. The old way of maintaining fleets cannot process data specific to electric vehicles (EVs), such as charging schedules or battery diagnostics.
The solution is to find a unified platform that consolidates all maintenance data into a single dashboard.