Changeover discipline on volatile demand

High-mix, high-speed lines lose hours to changeovers nobody sequences deliberately. Vegam schedules against live constraints and holds the discipline shift after shift.

Every changeover timed. Every stop reason-coded. Every check bound to the batch.

Why digitally mature FMCG plants still struggle

Problem 01

Changeover drag

High-mix lines lose hours to changeovers no one sequences deliberately, and the gap between the best and worst crew is never measured.

Problem 02

Demand volatility

Plans built on last week’s numbers collapse against today’s orders, and re-planning is done by hand.

Problem 03

Line-level blind spots

Micro-stops and speed loss never reach the shift report, so OEE reflects memory rather than the line.

Problem 04

Quality checks off the record

Checkweigh and metal-detect results sit in the device, transcribed at the end of the run, so a failed check holds far more product than it should.

The object your plant runs on · the line

Can this line make the next order?

Not whether there is capacity in the abstract. Whether this order can run on this line once material, changeover and the shift boundary are all real. Pick a candidate order.

Illustrative scheduling scenario. Order, material and line identifiers are examples.

FMCG production, stage by stage

Eight stages from the demand signal to the pallet leaving the yard. Click a stage to see the operational reality, and what changes when the line runs on one record.

CONCURRENT · Primary production is fill-and-pack; secondary packaging is case and pallet build. The in-line control points are the checkweigher and the metal detector.

Keep the line moving when the plan keeps changing

Demand moves, so the schedule moves, so material and equipment availability move with it. Vegam orchestrates that whole chain rather than optimising one link of it.

  1. vSFS · PlanningDemand change

    The revised order set lands against the current plan rather than beside it.

  2. vSFS · SchedulingSequence

    Re-sequenced against changeover cost, not just due date.

  3. vWMS · MaterialsAvailability

    Component and packaging coverage checked before the sequence is committed.

  4. vMaxOEE · EquipmentLine readiness

    Line state, cleaning and condition folded into what can actually run.

  5. vSFS · ExecutionChangeover

    Timed against a standard, so the loss is measured rather than absorbed.

  6. vSFS · ExecutionProduction

    Reason-coded stops and rate loss captured as the line runs.

  7. vSFS · QualityIn-line checks

    Checkweigh and metal-detect results bound to the batch.

  8. vMaxOEE · AnalyticsActual output

    What the line really produced, against what the plan assumed.

What Vegam brings to FMCG

01

Constraint scheduling

Live material and capacity in the plan, so an order that cannot run does not reach the line.

02

Changeover analytics

Every changeover timed against a standard and benchmarked crew to crew.

03

OEE in context

Losses named by cause, line and shift rather than totalled monthly.

04

In-line quality

Checkweigh and metal-detect results bound to the batch as they are produced.

✓ ISO 22000✓ BRCGS✓ GS1 / serialisation✓ FSSC

Built by solving real manufacturing problems

20+years in batch manufacturing operations
325plant deployments
60+countries of operation
UnileverHenkelBASF CoatingsBostikSKFSaint-Gobain

See your FMCG line, not a generic demo

Bring one line and its changeover pattern. We’ll map where the hours go and show what changes when the sequence is planned against live constraints.