TEXTILES

A ship date computed against real capacity.

In a refurbish and resell operation, capacity moves with incoming stock and the order mix, so the stage that sets the ship date changes week to week. EntroMetrix computes a feasible date for any order in seconds, against your real bench loading and component stock.

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KEY RESULTS
−17%
wasted and idle time across the flow
−13%
rework and reprocessing
+9%
effective capacity from the same footprint
−11%
energy per unit processed
−14%
avoidable scrap and carbon
01 · THE PROBLEM

Quotes made on experience, not on capacity.

Configured systems and component sales compete for the same inventory, while units pass through goods in, testing, grading, build and QA at different rates. The constraints shift with demand and with what arrives.

Quotes are made on experience rather than a clear view of capacity. Either the promise is cautious and margin is lost, or it is confident and cannot be kept.

Dark process map of a refurbishment line, each stage a card with utilisation, throughput and headroom, the build benches flagged red at 104 per cent
01The operation end to end, with the binding stage flagged.
02 · WHAT IT COSTS YOU TODAY

Promises that cannot be kept, benches that stand idle.

Missed dates: quoting by experience shipped 78 per cent of orders on time over the recorded order book.
Padded quotes: safe lead times hide the capacity you actually have, so margin and utilisation are lost.
Overloaded benches: the build benches ran at 104 per cent of capacity while other stages stood idle, because no one could see tomorrow's bottleneck.
02Stage loading against capacity over a fortnight.
03 · WHAT ENTROMETRIX DOES

A simulator of your operation, from extracts you already have.

Order feasibility: enter a prospective order and receive a feasible ship date against current bench loading and component stock, in seconds.
Capacity in view: stage and bench loading computed from the live order book, with headroom and overload visible per stage and per day.
Component check: availability and compatible substitutions checked at specification level before a promise is made.
What if in seconds: replan against a technician loss, a rush order or a large lot arriving, without touching the real plan.
03Current quotes against feasible lead times, by order type.
04 · HOW YOU STAY IN CONTROL

Validated on your own history before it advises.

Your history: the simulator must reproduce last quarter's actual bottlenecks and shipping performance before it advises on anything.
Your criteria: success is judged on a held back period of your own records, with criteria agreed before results are seen.
Your systems: static ERP exports are enough to start, and no software is installed on your systems.
Your time: roughly eight hours of your engineers' time plus a one time data extract under NDA.
Your decisions: the simulator advises, and your planners accept, sequence and promise.
04Build bench loading, before and after.
05 · WHAT YOU GAIN

From experience to computed promises.

Tomorrow's Bottleneck, Today

The binding stage moves through the fortnight, and you see it a day ahead.

Dates You Can Keep

Orders shipped on time from 78 to 94 per cent over the recorded order book, with shorter quotes rather than padded ones.

Idle Benches Filled Knowingly

Each candidate order is costed before acceptance, and build bench loading comes back from 104 to 96 per cent.

05Orders shipped on time, before and after.
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CASE STUDIES
textile manufacturing line
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chemicals plant
CHEMICALS

Energy and carbon optimisation on the crude distillation unit.

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refinery process unit, a fluid catalytic cracking unit
CHEMICALS

Real time optimisation of the cat cracker.

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See what the model finds in your plant.

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