Maintenance was reactive. When a press line failed, technicians diagnosed it by hand from paper logs, and unplanned downtime regularly idled an entire shift while parts were sourced.
What we rolled outWe deployed a predictive-maintenance system reading live sensor data from the lines, with a model trained on three years of failure history and an alert layer wired into their existing scheduling tool.
Estimated resultFailures are now flagged days ahead, parts arrive before breakdowns, and unplanned downtime has dropped sharply across the plant.