A plant’s daily numbers — output, energy, rejects, downtime — are easy to see and hard to act on, because none of them carry a cause. Munshi rolls the floor up for the people who don’t walk it, but keeps the reason attached: an OEE that opens into the losses behind it, a reject rate that opens into the defect families, a downtime total that opens into the reasons.
Your ERP dashboards show the totals.
They stop at the number - the OEE, the reject rate - and never open into the causes underneath.
Why the gap existsWhat it does
An OEE is a headline. Munshi keeps the availability, performance and quality losses behind it, each with the reasons that built them, so the number is a door, not a dead end.
The exec view aggregates the floor without abandoning it. Every rolled-up figure traces back to the shift, the asset and the logged cause it came from.
The same loss seen by shift, by asset and by cause — so a pattern that averages away in a monthly total shows up where it lives.
In the plant
An OEE that opens into the availability, performance and quality losses behind it — a door, not a dead end.
A reject rate that opens into defect families and the patterns they cluster on, by shift and by asset.
The day/night gap and the week-over-week trend a single daily total quietly averages away.
What Munshi surfaces
Teal is normal, maroon is flagged. Illustrative data.
OEE as a headline — the number everyone quotes and nobody can act on alone.
The same OEE opened into its losses: scheduled time down to actual, availability, performance and quality.
Where the OEE went, ranked — the losses behind the headline.
The day/night gap a single daily total hides.
The trend a daily number can’t show.
Get started
See this on your own floor.
Bring a month you already understand. The useful test is whether Munshi finds what you already know — and then what you didn’t.