PixelAutomate
Solution

Optimised cutting of furniture panels

orders are cut separately; good remnants are not reliably included in subsequent orders.

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Sector

C31 furniture manufacturing.

INDICATIVE NACE CODE

Process

panel intake → cutting plan → cutting → edge banding → good-remaining storage → assembly.

Problem

orders are cut separately; good remnants are not reliably included in subsequent orders.

What the solution includes

QR/RFID remnant identity; scales; cutting machine link; placement algorithm; inventory by décor, thickness, size; MES/ERP links.

What changes

higher panel utilisation and more parts from remnants.

How the result is measured

What we measure
% used panel area
Baseline
cutting programmes and stores records
Target
AFTER DIAGNOSTICafter pilot orders
Evidence
machine programme and remnants register.

Business effect

lower panel cost and less unidentified stock.

Component parts

Physical assets

ДМА — cutting and labelling equipment

Software and integration

ДНА — algorithm, inventory, integrations.

Indicative investment

The concrete value is set per client after technical design and current quotations.

Who does what

PixelAutomate

EvroPixel builds the algorithm and the digital inventory.

Required partners

cutting equipment supplier and furniture technologist.

What to keep in mind

correct labelling; machine-software compatibility; activity must be furniture manufacturing, not separate inadmissible primary processing under the applicable programme.

Link to a funding programme

Scope and clarifications

The intended result is verified with data from your process rather than assumed in advance. For a funded project, your SME is the beneficiary. PixelAutomate is the brand under which we work. The contracting company is identified in the quotation, contract, and invoice.

NEXT STEP

Start with the process you want to improve.

We will clarify the problem, the measurement, and the next viable step.

Book a Business Audit