A ceramics plant compared its first full month of monitoring to its state seven months later. The picture was a plant-wide shift from firefighting to stability, with breakdown hours nearly halved and an annualised recovered opportunity north of R76 million.
The plant did something disciplined: it took its first full month under monitoring as a baseline and compared it, like for like, to its state seven months on. No selective weeks, no cherry-picked shifts. Two lines, two snapshots, one honest question, how much had actually changed?
The headline was a plant-wide move from reactive maintenance to operational stability. Combined breakdown hours fell 48%, from 53.3 to 27.7 per month, and average OEE climbed from 37.2% to 65.6%. Underneath the average, the two lines told different stories.
At a 2026 South African benchmark of R250,000 per hour of unplanned downtime, the 25.6 hours recovered each month across both lines is worth about R6.4 million a month, or R76.8 million annualised, from the same machines, the same crews and the same product.
A number like that is only as trustworthy as the labels behind it. The comparison assumes downtime was categorised consistently across both periods, and early data is often logged differently as a team learns a new system. To keep the figure defensible, the plant now runs a quarterly reason-tree audit so the categories stay comparable as operational habits evolve. The transformation was real; the discipline is what keeps it measurable.
Using a 2026 South African mid-market benchmark of R250,000 per hour of unplanned downtime, applied to the 25.6 hours of monthly production time recovered across both lines. That is roughly R6.4m a month, or R76.8m annualised.
The line that jumped from 33% to 77% OEE recorded slightly more stops, but its quality yield rose to 80.3%. That pattern indicates the remaining stops are minor adjustments rather than catastrophic failures, a healthier, more controllable state.
It assumes downtime categories stayed consistent between the two periods. Because early data can be logged differently as a team learns the system, the plant runs a quarterly 'reason-tree audit' to keep the labels comparable and protect the ROI figure.
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