The Operations Podcast with Fexingo · 2026-07-26 · 4 min
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 sensor deployment, the data pipeline that turned raw accelerometer readings into repair orders, and the cultural shift from 'fix when broken' to 'predict and prevent.' Lucas and Luna also explore a higher bar for predictive maintenance: the FAA's mandate for real-time health monitoring in next-generation aircraft engines.
Other episodes covering the same guests and topics, from across The B2B Podcast Index.
Navigating Uncertainties in Supply ChainsLogistics Leadership Podcast · on Predictive maintenance86 / 100
How to Design AI for Scale From Day One with Tom Greenlees, Intelligent Core [090]The Business of AI · on Predictive maintenance80 / 100
From Sales to Spare Parts - Festo´s AI solutionsIndustrial AI Podcast · on Predictive maintenance80 / 100
Why Aviation Maintenance Is the Next Generation's Best-Kept Career Secret | Jennifer Radtke, BoeingThe Lost Art Of the Skilled Trades · on Predictive maintenance80 / 100
AI in the Engine Room - How Is AI Impacting Business Operations?The Marketing & AI Podcast: The MAP · on Predictive maintenance75 / 100
From Data Projects to Data Products: Essential Skills for AI LeadersData Analytics Chat · on Predictive maintenance71 / 100
How a Steel Plant Cut Unplanned Downtime by 70 Percent with Ops82 / 100
How a Hospital Cut Readmissions by 25 Percent with Operations86 / 100How a Container Port Cut Dwell Time by 40 Percent94 / 100How a Coffee Chain Cut Employee Turnover by 50 Percent90 / 100How a Data Center Cut Energy Use by 40 Percent91 / 100