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● SECTOR 04 PACKAGING · CONSUMER GOODS PPWR · FOOD-CONTACT
PACKAGING FOR CONSUMER GOODS

Multi-machine lines, scrap
attribution, operator tasks.

High-speed, multi-format packaging lines bleed margin through scrap, micro-stops and slow changeovers — most of it invisible until the shift report. We model the line precisely and attribute every loss at the moment it happens.

COLEP PKIMTO
01 · THE CHALLENGE

Where packaging lines lose margin.

Packaging runs fast, complex, multi-machine lines with frequent format changes. Losses accumulate in seconds — a jam here, a micro-stop there, scrap with no reason code — and stay invisible without execution data captured at the machine.

  • 01

    High, unattributed scrap

    Scrap is counted but not explained — no reason code tied to the machine event that produced it.

  • 02

    Poor OEE visibility

    Downtime, speed loss and quality loss blur together, so improvement effort lands in the wrong place.

  • 03

    Slow, undisciplined changeovers

    Format changes, sanitations and micro-stops aren't structured as operator tasks, so they run long and inconsistent.

  • 04

    After-the-fact quality

    Quality data is captured manually once the run is done — too late to stop a non-conforming batch.

02 · WHERE THE SECTOR IS MOVING

The trends reshaping the line.

PPWR

Material change at scale

Recycled content and recyclability mandates force new substrates and lighter formats — and tighter process control.

SUSTAINABILITY

Mono-material & waste cuts

Recyclable, mono-material packaging changes line behaviour and raises the cost of every unit scrapped.

E-COMMERCE

SKU & format explosion

Channel proliferation multiplies formats and changeovers, stressing line flexibility and OEE.

AUTOMATION

Higher speeds, tighter tolerances

Faster lines make manual data capture impossible and micro-stops more costly.

BRAND OWNERS

Traceability flow-down

Consumer-goods customers push traceability and quality-record requirements onto their packaging suppliers.

AI OPERATIONS

Predictive loss reduction

Reason-coded, real-time data enables predictive maintenance and loss-pattern detection.

03 · REGULATORY PRESSURE

Claims you have to substantiate.

Packaging is squarely in the path of EU circular-economy regulation. Compliance turns on operational and material data captured per lot and per format.

PPWRPackaging & Packaging Waste Reg.

Recyclability, minimum recycled content and waste-reduction targets, substantiated per pack.

Material and process data captured at the line to evidence recycled-content and recyclability claims.

Food-Contact MaterialsReg. 1935/2004 · GMP 2023/2006

Good manufacturing practice and traceability for materials in contact with food.

Lot traceability and quality workflows tied to execution, with controlled documentation.

ESPR / DPPDigital Product Passport

Product-level composition and provenance exposed via a digital passport.

Genealogy and as-produced records structured so passport data is a query, not a project.

Customer / Retailer SpecsBrand-owner flow-down

Customer-specific quality records, CCPs and traceability beyond statutory minimums.

CCP-grade quality workflows and full traceability configurable per customer program.

04 · OUR APPROACH

Model the line. Attribute every loss.

We model complex, multi-machine, multi-format lines as they actually run — then attribute scrap and downtime at the source, reason-coded to the machine event that caused them. Operators get structured tasks for changeovers, sanitations and micro-stops, so the work that erodes OEE becomes visible and repeatable.

Quality moves from after-the-fact paperwork to CCP-grade workflows tied to execution — holds and deviations enforced while the run is still on the line.

Every unit of scrap carries a reason code, tied to the machine event that produced it — so improvement targets the real loss.
05 · WHAT WE DELIVER

Outcomes, not modules.

  • Line modelingMulti-machine, multi-format lines modeled as they run.
  • Scrap attributionReason-coded at the machine event, in real time.
  • OEE & downtime reductionAvailability, performance and quality split and attributed.
  • Operator task managementChangeovers, sanitations and micro-stops structured.
  • Quality workflowsCCPs, holds and deviations tied to execution.
  • Format & changeover analyticsWhere time and material go, by format and line.
06 · REFERENCE CLIENTS

Proven on complex packaging lines.

Find the losses hiding in your OEE.

A focused diagnostic maps your lines, formats and loss patterns against proven packaging MES patterns.