A beverage bottler spent 120 days moving from guesswork to data. The technical wins were real, a supply-air loss cut by 97%, micro-stops down 20%, but the biggest change came when the numbers left the back office and went up on a screen the whole floor could see.
A high-volume filling line was stopping constantly, and nobody could say exactly why. The first month of monitoring put a number on it: 9,848 individual stops. More useful than the count was the shape of it. Nearly a quarter of paid time (24.6%) was simply "waiting", bottles arriving slowly, or not arriving at all, and a major external dependency surfaced: a "No Air" supply loss worth over 34 hours in a single month.
The data immediately debunked the assumption that mechanical failure was the culprit. The real problems were upstream supply synchronisation and utility stability, not the filling machine everyone had been blaming.
Month two went after the biggest, clearest losses. Total stops on the line dropped 20%, from 9,848 to 7,847. The "No Air" bottleneck was mitigated from 34 hours down to just 46 minutes, a 97% reduction. Monitoring a second line also exposed a hidden drain: a labelling fault costing over 93 hours in a single month, previously buried in vague categories. Precise diagnostics replaced "unknown".
The turning point wasn't technical. A live public display was installed in a common area, moving the data out of the back office and in front of everyone. With a single, shared source of truth, operators managed their own cadence. Despite the festive-season disruption, availability on the main line climbed to 36.5%, a three-point gain over the baseline, and the "waiting for bottles" bottleneck was actively managed down from 31 to 25 hours.
Across 120 days the line went from 9,800-plus monthly stops to a controlled, visible operation. The technical fixes mattered, but the compounding return came from accountability: once the whole floor could see the line's true state, they kept it running better, at exactly the time of year it mattered most.
The assumption that mechanical failure was the main problem. Nearly a quarter of paid time was 'waiting', driven by bottles arriving slowly, and a major loss came from an external 'No Air' utility dependency, not the machine itself.
Putting a live shop-floor screen in a common area gave operators a single source of truth. Seeing the line's real-time state encouraged a steadier production cadence and self-accountability, which held even through the distractions of the festive season.
In a high-volume filling operation, yes. A 3 percentage-point rise in availability, achieved during the busiest, most disruptive time of year, translates into thousands of additional units produced.
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