Latest / The Operations Podcast with Fexingo: Process, People, and Profit in Modern Business
How a City Bus Fleet Cut Downtime by 60 Percent with Predictive Operations
In 2024, Austin's public transit authority faced an average of one breakdown every 8,000 miles across its 300-bus fleet. Mechanics were overwhelmed by reactive repairs, and service reliability was slipping. By installing vibration sensors on wheel bearings, oil analysis ports on transmissions, and a machine-learning platform that predicted failures 48 hours in advance, the fleet's mean time between breakdowns more than tripled to 25,000 miles. Unscheduled maintenance dropped by 60 percent, saving $2.3 million in parts and overtime in the first year. This episode walks through the…
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