The operational twin — for one plant: its installed machines, fleet health, quality & compliance audits, maintenance posture, value-added programs and crew, with the data grain that says how bankable its P&L is.
6 of 17 plants report at true plant-grain actuals — leaving ₹6,933 Cr of revenue on softer grain. Convert the 11 estimated plants to actuals to make the operational P&L bankable, then mine the healthy base to sell up the value chain.
6 of 6 headline metrics improving vs prior · still off target: Machine Uptime / OEE 88.5% vs 92.0%, On-Time Delivery (OTIF) 94.5% vs 98.0%, Right-First-Time Quality 96.2% vs 99.0%
₹6,933 Cr of revenue sits on SAP-allocated or region-only grain — diligence discounts what it can't verify.
₹4,745 Cr of value-added & AMD revenue sits on a fleet of 344,000 installed machines — the warmest expansion surface Arvind has.
This is the view the manufacturing and maintenance teams act on. Each plant is a living asset — pick one and see its machines by type, what's healthy vs degraded vs down, its next quality / compliance audit, the machines below the MES baseline, and its value-added programs. The Arvind thread runs through it: the data grain tells you how much of this plant's number you can bank. It's the single-plant drill-down for Org Roll-up 360.
Machines · health · quality · maintenance · programs · crew — plus the data grain and a next best action.
Maintenance drift tracks data-grain: low-coverage / off-ledger plants carry more machines past their service window.
Routed to the open non-conformances above; line telemetry opens the work order, the maintenance team closes it.
Only 70% plant-grain — the rest is SAP-allocated from area postings. Completing the S/4 cutover makes this plant's P&L bankable.