01 Tipping point: Setting the stage for smarter waste management
Maintenance scheduling
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Keeping trucks ticking: Maximizing garbage fleet longevity Reducing waste in your waste operations: From routing to right-sizing Fueling efficiency: Slashing costs and emissions in your waste collection fleet Clean record, clean streets: Avoiding legal landfills from liability and risk
When managing a fleet, there are three core types of maintenance strategies: Reactive maintenance Or “run-to-failure" maintenance, Preventative maintenance Involves scheduling
Predictive maintenance In the practice of using data analytics and proactive monitoring to forecast when certain vehicle components are likely to stop working properly. An integrated approach combines both preventive maintenance and predictive maintenance strategies, you can achieve a more holistic and optimized maintenance plan. Preventive maintenance helps verify that essential tasks are performed regularly, while predictive maintenance adds a layer of proactive and targeted interventions based on near real-time data and analysis.
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maintenance activities like component replacements, routine inspections or fluid replacements on a set time- or
is the act of taking action to repair a vehicle only after a mechanical failure of some sort has occurred. Usage-based preventative maintenance schedules help you save money, as they account for the varying utilization rates of each truck. By tailoring the maintenance of each garbage truck based on usage, such as engine hours or mileage, this strategy helps make sure that schedules are based on the actual needs, optimizing efficiency and preventing unnecessary downtime.
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usage-based schedule. Predictive maintenance
Without telematics, fleets usually deploy a reactive or time- based preventative maintenance strategy, which can harm your budget over time. Using this technology, your waste management fleet can make the switch to a more cost-effective plan that includes usage-based preventative maintenance, predictive maintenance or a combination of the two.
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integrates data analytics and near real-time monitoring to foresee and prevent potential issues before they result in costly failures. By continuously assessing a vehicle's current condition through a network of advanced sensors and diagnostic tools, it can identify subtle changes and trends that indicate wear and tear or imminent component failures. Machine learning algorithms play a crucial role in processing these data streams, enabling the system to learn from historical patterns and refine predictions over time. This allows fleet managers to schedule maintenance tasks precisely when needed, reducing downtime and avoiding unnecessary interventions.
The last stop: Moving toward a leaner, more efficient waste management fleet
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DID YOU KNOW?
Predictive maintenance can help drive benefits like: 1.5% reduction in fuel costs 4% reduction in maintenance costs
9.4% prevention in breakdowns
15% increase in vehicle availability
37% reduction in time spent by a technician
Cutting costs, not corners 3
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