Predicting Equipment Failures Before They Happen
Machines rarely give warnings before something goes wrong. In industrial environments, unplanned downtime can cost hundreds of thousands of francs per day, particularly in precision manufacturing, pharmaceuticals, and energy-intensive sectors. Predictive maintenance, powered by AI and advanced analytics, has emerged as a game-changer, allowing companies to anticipate failures, schedule interventions, and maximize uptime. In Switzerland, where reliability and precision are business imperatives, predictive maintenance is becoming standard practice rather than experimental.
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