Steel: every coil traced back to the ladle it came from

The organising idea in our steel work is that every downstream unit — billet, slab, coil, bar — carries an unbroken link back to the heat that produced it, and through that to the burden mix, the ladle chemistry, the casting conditions and the operating parameters at each stage.

With that link in place, questions that were previously investigations become queries. A customer complaint about a specific bundle traces back through the rolling pass schedule, the reheat furnace profile, the caster conditions and the final chemistry in minutes. A pattern of surface defects can be correlated against mould level variation or tundish temperature across hundreds of heats rather than the handful anyone can remember.

Building this requires capturing identity at each transfer point, which is partly instrumentation and partly process discipline. We design the capture so it fits how the plant already works rather than adding steps — a barcode or RFID at the point where material is already being handled, not a new form for an operator to fill in.

Yield reported as a single monthly percentage is almost useless for improvement, because it aggregates several unrelated loss mechanisms. We decompose it: melting loss, casting loss including tundish skull and end cuts, reheat scale loss, rolling crop and cobble, and finishing rejection.

Each component is then attributed by shift, by grade, by section and by operator crew where relevant. What emerges is almost always concentrated rather than uniform — a specific grade on a specific mill on the night shift accounting for a disproportionate share. That specificity is what makes improvement possible.

The typical result across our engagements is a yield gain of around one to one and a half percentage points within two quarters, achieved not through capital investment but through making the loss visible where it happens.

Electricity in an induction or arc furnace operation and fuel in reheat furnaces together represent a very large share of conversion cost, and both vary substantially with operating practice rather than only with equipment.

We build specific energy consumption reporting at the granularity where practice differs: kWh per tonne of liquid metal by heat and by crew, fuel consumption per tonne in the reheat furnace against soaking time and delay, and mill power draw by section against section size and rolling speed. Where a plant has time-of-day tariffs, we join the tariff structure so the report shows rupees rather than only units, which changes scheduling behaviour immediately.

Plants with captive generation or renewable contracts get the additional accounting: grid versus captive versus solar mix, maximum demand management, and power factor with its penalty implications.

Rerolling and secondary steel operations have a commercial pattern that generic ERPs handle poorly: rates that move daily with raw material, orders placed against a rate valid for a window, trade discounts and quality claims settled later as credit notes, and a dealer network ordering by phone and WhatsApp.

We build the order-to-dispatch chain around that reality: daily rate publication to dealers, order capture with rate validity, credit limit checking, allocation against available stock by section and grade, weighbridge-integrated dispatch, e-invoice and e-way bill generation, and a dealer portal showing ledger, dispatch status and scheme entitlement.

The commercial outcome our clients report most consistently is not new revenue but reduced leakage — pricing errors eliminated, claims settled against documented evidence, and dispatch capacity increased because the gate process is faster.

Steel plants run on a daily rhythm and the reporting should match it. We deliver a morning report — production, yield, energy, dispatch and any exception — on the shared drive or on WhatsApp before the management meeting, and live dashboards in the control room and the plant head's office.

The control room display is designed for its context: high contrast, readable at four metres, refreshing continuously, with alarm conditions prominent. The management dashboard is designed for a different one: trends, variance against target, and drill-down when something needs investigating.

Both read from the same modelled data with the same definitions, which is what prevents the familiar situation of production and finance presenting different numbers for the same month.

Almost always with whichever report currently takes the most manual effort — usually the daily production and dispatch summary, sometimes the monthly energy statement. It is narrow, provable, and it establishes the data capture that everything else builds on.

From there the common sequence is energy accounting, then yield decomposition, then dispatch, then the wider ERP. Groups that try to do all of it at once take longer and see value later; groups that sequence it are usually running four or five modules within eighteen months.