CHEMICALS

Disruption seen before the line stops.

A manufacturer with hundreds of suppliers sees its first tier and little beyond it. EntroMetrix reads your purchase order history as one network and warns of a late or short delivery about two and a half weeks ahead.

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KEY RESULTS

+34%

late or short deliveries caught ahead of time

−28%

false alarms sent to buyers

2.5 weeks

average warning before a delivery fails

−17%

rush orders and premium freight

−24%

line stoppage hours from missing parts

01 · THE PROBLEM

Trouble starts at your suppliers' suppliers.

A raw material shortfall at a supplier's supplier becomes a short shipment from your direct supplier. It is usually discovered when a part fails to arrive and the line stops.

The early signs are already in your records: a supplier whose deliveries are slipping, a part whose wait is stretching, a second tier firm whose volumes have fallen. They sit in different tables and no one reads them together.

01Your two tier network with the flagged cluster, and the chance of a late delivery rising week by week.

02 · WHAT IT COSTS YOU TODAY

Rush orders that two weeks of notice would have avoided.

Stoppages: a missing part stops the line, and the hours are lost for good.

Premium freight: the rush order and the air freight that follow a surprise cost far more than a planned change.

Alert fatigue: when every late acknowledgement is amber, buyers stop reading, and the real problem hides in the wall.

02A tier two disruption, tracked with and without the stock rule.

03 · WHAT ENTROMETRIX DOES

Your network as one model, warned from your own history.

Reads your records: builds the network from purchase orders, shipment notices, receipts and consumption postings.

Builds the twin: simulates stock and flows across your suppliers and their suppliers, and uses a simple rule of stock, what a firm holds equals what it bought minus what it used, to trace hidden dependencies.

Warns you early: gives every open order a chance of arriving late or short, weeks ahead, using only what was known at order time.

Gives you options: tests a supplier outage, port delay or demand surge, shows which parts are exposed, and leaves the response to your planners.

03Accuracy as more firms are missing from the records.

04 · HOW YOU STAY IN CONTROL

Fewer, better alerts, and your planners decide.

Your records: built and tested on your own purchase order history, and it tells you where the records are too thin to be trusted.

Your systems: runs offline beside a copy of your ERP, with no live link to planning or control.

Your alerts: only orders that cross the alert line reach your buyers, and the rest are left alone.

Your planners: every alert is reviewed by your buyers and planners, who decide what to do.

Your scenarios: you choose which disruptions to test and see which parts are exposed.

04Twelve suppliers ranked by the chance of a late delivery.

05 · WHAT YOU GAIN

Warned before the part fails to arrive.

Earlier Warning

See late or short deliveries about 2.5 weeks before they reach your line.

Fewer False Alarms

Your buyers act on a short ranked list, so real problems get their attention.

Less Rush Spending

Cut premium freight, rush orders and the stoppages that follow a missing part.

05Deliveries caught, false alarms, rush cost and stoppage hours, indexed.

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CASE STUDIES

CHEMICALS

See what the model finds in your plant.

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Trouble starts at your suppliers' suppliers.

Rush orders that two weeks of notice would have avoided.

Your network as one model, warned from your own history.

Fewer, better alerts, and your planners decide.

Warned before the part fails to arrive.

Energy and carbon optimisation on the crude distillation unit.

Real time optimisation of the cat cracker.

Fouling predictions that carry their own confidence.

See what the model finds in your plant.