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AI-enabled Predictive Maintenance: Avoid Breakdowns, Big Expenses & Downtime
Overall fleet operating expenses are expected to remain at all-time highs for the foreseeable future. Yet, student transportation fleets still need to provide high service levels while operating within budgetary restrictions.
A tall order for any school bus fleet.
Good news: Predictive maintenance opens more opportunities for the maintenance shop to exercise more control over costs and maintain healthier school buses.
Predictive maintenance relies on historical data to spot trends, predict future issues, and prevent downstream faults. Proprietary probability and occurrence data are used to predict problems when a vehicle fault code is likely to precede another, more serious repair if not addressed.
Shop managers, mechanics, and technicians use that information to prevent potential future failures while the vehicle is already in the shop for another service such as routine maintenance or repairing defects found during inspections.
Predictive maintenance enables savings through:
• Consolidating shop visits by addressing predicted issues during scheduled work
• Avoiding more on-the-road breakdowns, tows, and roadside expenses
• Reducing the frequency of towing fees, critical repairs, and bus substitutions
When a potential failure is prevented, so are its associated expenses and critical repair costs; all while realizing more uptime through consolidated shop visits and fewer breakdowns.
One utility fleet avoided a $40,000 engine replacement because Zonar FaultIQ® alerted them to an impending, critical failure. (Read their story.) So can a student transportation fleet.
Fleetwide savings are further realized through more efficient shop processes. Using the right predictive maintenance platform streamlines shop processes and workflows as well as helps maintain healthier student transportation fleet vehicles.
The key? Empowering non-technical staff to play a more active role in fleet health.
Engine issues and derates are difficult for anyone to decode unless they speak that language. Instead of relying primarily on mechanics and technicians to triage problems, the right predictive maintenance platform empowers non-technical staff to quickly understand, prioritize, and plan repairs.
Avoiding potential future failures is one advantage. Identifying and resolving certain vehicle issues for immediate savings is another.
A predictive maintenance platform opens a clear view into each bus’s health. By filtering for certain types of faults, shop staff resolve those issues to reduce other current operational costs.
Immediate savings are realized by:
• Improving fuel efficiency, one of the largest budget categories for any fleet
• Reducing the risk of accidents and incidents due to mechanical failures
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