Blog/Gummy Cavity Map RFQ: Design the Tray From Output

Gummy Cavity Map RFQ: Design the Tray From Output

Plan gummy cavity count and layout from target grams, pieces per hour, tray envelope, filling method, support and demolding rather than maximum packing density.

8 min readWYD Editorial
Gummy Cavity Map RFQ: Design the Tray From Output

# Gummy Cavity Map RFQ: Design the Tray From Output

The maximum number of cavities that fit in a rectangle is not automatically the best production layout.

A useful cavity map balances:

  • target piece weight
  • pieces per hour
  • tray size
  • machine pitch
  • cavity spacing
  • support
  • demolding
  • cleaning
  • operator handling
Depositor pitch context

Start With Output

Gummy fill-weight check

A weak RFQ says:

> Fit as many cavities as possible.

A stronger RFQ says:

> We need 18,000 pieces/hour at the target piece weight, using our current depositor and rack format.

Now layout can follow production.

Basic Throughput Logic

At a high level:

pieces/hour = cavities filled per cycle × cycles/hour

But real output also includes:

  • indexing
  • tray change
  • cooling/drying
  • demolding
  • cleaning
  • rejects

More cavities can reduce cycle speed.

What a Cavity Map Should Show

Custom gummy molds
  • row count
  • cavities per row
  • center coordinates
  • row spacing
  • cavity pitch
  • edge margins
  • orientation
  • logo direction
  • machine datum
  • numbering if needed

Edge Margin Is Structural

Unused edge space can provide:

  • grip
  • stiffness
  • nest support
  • protection for outer cavities
  • locating features

Do not treat every millimeter not containing a cavity as wasted material.

Cavity Density and Web Strength

Gummy silicone tray

Aggressive packing can create narrow webs.

That can increase:

  • tearing
  • ripple
  • handling difficulty
  • local deformation
  • cleaning difficulty

The layout should consider structural webs as part of the tray.

Piece Weight

Cavity volume should be linked to the actual formula.

Do not assume 1 mL equals 1 g for every gummy system.

Prototype the real formulation and compare finished piece weights.

Manual vs Automatic Filling

Manual filling may tolerate more layout freedom.

Automatic depositors require:

  • correct pitch
  • first-cavity datum
  • stable tray plane
  • repeatable support

The cavity map should inherit those machine constraints.

Demolding Labor

Track:

  • pieces released per minute
  • whether rows can peel together
  • whether fine logos need individual handling
  • how often the tray is repositioned

A packed tray can reduce tray count and increase labor.

Prototype the Final Span

A one-cavity sample does not prove a 600 mm production tray.

The prototype should represent:

  • full length/width
  • support
  • border
  • cavity distribution
  • material/Shore

Cavity Orientation Can Improve Packing Without Reducing Support

Rotating a non-round gummy can sometimes increase cavity count while preserving better web thickness than simply reducing center spacing.

Layout optimization should compare:

  • orientation
  • row staggering
  • edge margin
  • logo direction
  • demolding direction

The highest count is not always the most stable map.

Numbering and Traceability

For production troubleshooting, cavity numbering can help identify whether weight or surface problems repeat in one region. Numbering may live on the tray outside the food-contact cavity rather than on the finished product.

Cleaning Access

Very dense cavity maps can make manual inspection and cleaning more difficult. If fine product residue sits in narrow bridges or deep logo areas, the theoretical throughput gain can be offset by sanitation labor.

Final Recommendation

Optimize the production system—not the CAD packing percentage.

Ready to order custom silicone molds?

Send your drawing, sample or project requirements for DFM and quotation.

Need a custom mold?

Send drawing or sample

WhatsAppInquire